part time phd in statistics in india

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THE SEAT OF KNOWLEDGE THE HEART OF TRANSFORMATION

DOCTORAL PROGRAM for WORKING PROFESSIONALS

Expand the frontiers of knowledge.

The Doctoral program for Working Professionals PhD(WP) at IIM Shillong is a unique doctoral level program in management for working professionals in order to meet the requirements of the employer organization.

The goal of the program is to prepare enthusiastic executives and teaching professionals who contribute to the field of training, management research and consulting practice, launch an academic career and help to strike a balance between the theory and practice of management.

  The PhD(WP) program endeavours to co-create knowledge in all aspects of Management Education for sustainable development and to develop independent researchers with strong ethical values. The program is committed to inculcate in individuals the necessary knowledge and skills to co-create original cross functional interdisciplinary knowledge and contribute towards creating high quality research. The program will enhance the working professionals’ and teaching professional’ domain knowledge.

We encourage experienced professional with a blend of corporate experience, intellectual curiosity, and research aspirations. Whether you aim to establish an academic or research career to elevate your role to strategic / consulting level on both – the program offers you the platform to learn academic and unleash your potential for knowledge creation.

Program Vision

The PhD(WP) Program at IIM Shillong offers intellectually curious working professionals an opportunity to gain advanced research skills to complement their practical knowledge. The program enables professionals to acquire interdisciplinary research expertise on a part-time basis over a period of three to four years. The program will equip professionals to produce high-quality research output of international standards through specialized research training and global collaborations. ; and empowers them to offer practical and sustainable solutions facing businesses and managers. This program will facilitate professionals to pursue varied career avenues such as academia, management consultancy, training, coaching, and research.

EXPECTATIONS FROM THE PROGRAM

Competency to search for explanation and potential solutions for operational and strategic level management Competency to effectively document the problem and the proposed solution for knowledge creation and transfer Competency to systematically communicate one's ideas/knowledge in chosen domain

THE PROGRAM ENDEAVOURS TO PROVIDE YOU WITH

Inputs for domain knowledge Understand knowledge creation process Critically examine existing body of knowledge Formulate research questions to aid knowledge generation facilitation by gaps in existing body of knowledge To devise/design a strategy to extract the potential solution and possible generalization extension To implement the strategy towards attaining solution for the identified research question To document the problem, process and solution To solicit feedback through scholarly publication and get recognized

Competence Goals and Program Objectives

Competency Goal 1

Contemporary managerial problem-solving acumen. Students will be able to demonstrate knowledge of management theories and practices to solve business problems. Programme Objectives: The students should be able to: PO 1a: Analytically examine the Managerial Problem using their domain knowledge. PO 1b: Develop critical thinking abilities to understand, analyze and communicate innovative alternatives for decision making. PO 1c: Anticipate and adapt to disruptions catalyzed by emerging technologies.

Competency Goal 2

Demonstrate effective interpersonal skills. Students will be able to demonstrate ability to lead themselves and others for business decision making. Programme Objectives: The students should be able to: PO 2a: Contribute individually and as a team player. PO 2b: Communicate impactfully in a local / multi-cultural / global environment.

Competency Goal 3

Awareness of ethical and sustainability challenges in business and society. Students will demonstrate awareness of ethical and sustainability challenges in a changing GLOCAL order. Programme Objectives: The students should be able to: PO 3a: Recognize ethical issues in different global business contexts. PO 3b: Demonstrate awareness about the sustainability challenges in decision making.

Competency Goal 4

Demonstrate ability to teach students in academic settings. Our scholars will be able to demonstrate the necessary teaching skills and ability to engage in research-oriented careers Programme Objectives: The scholars should be able to: PO4a: Demonstrate professional and academic writing. PO4b: Demonstrate skills required for teaching management.

Immersion Program for PhD WP 2022 & 2023 Batch

Wisdom Speeks

Bibhu Deb Scholar, Doctoral Program (WP) Batch- 2022

The overall experience of the recent immersion program was highly satisfying. Nothing quite matches the energy of in-person meetings. We had the privilege of attending the dynamic pre-conference sessions of iMarC, setting the tone for the immersion program. Professor Weng Marc Lim’s session stood out as a captivating highlight, offering profound insights. Professor Murugan’s SLR classes were instrumental in bringing clarity to complex concepts. Moreover, the opportunity to engage with supervisors and TAC members fostered fruitful idea exchanges. Meetings with the Director, Dean (Academics), and Dean (Research) provided valuable perspectives on the institute’s expectations. The Ph.D. Chairperson’s reassurance of the institute’s high standards left a lasting impression, giving us a clear understanding of what lies ahead.

Harish Scholar, Doctoral Program (WP) Batch- 2023

The immersion program was a very well-crafted program. The Chief Guest of the program, Mr. Lim gave important insights on skills required to write a good paper that I can immediately apply. The ease with which he taught and made everything look so easy gave us a lot of confidence. Important topics were covered and emphasized, deepening my understanding and broadening my perspective. Session on Time Series Analysis and PLS- SEM were also very helpful and gave us enough food for thought.

I would have loved to stay in the Campus close to the professors to have more time for interactions and that is one area which the PhD office can explore for our next immersion. Overall, I would highly recommend this program to any scholar.

Mohit Sanguri Scholar, Doctoral Program (WP) Batch- 2023

“I attended the immersion program at IIM Shillong from 28 Jan 2024 to 02 Feb 2024, and I must say it was a very enriching and rewarding experience. The preconference workshop covered PLS-SEM, Time Series Analysis, and Paper development workshop for early-stage researchers. The instructors were very knowledgeable and engaging, and they explained the concepts and techniques with clarity and practical examples. I learned a lot from the sessions and gained valuable insights on how to conduct rigorous and impactful research. I also had the opportunity to network with other researchers and faculty members and exchange ideas and feedback. The immersion program was well-organized and facilitated by the IIM Shillong team, and I appreciate their hospitality and support. I would highly recommend the PhD program to anyone who wants to enhance their research skills and knowledge and learn from the best in the field.”

Dileep Narayanan Scholar, Doctoral Program (WP) Batch- 2023

“Participating in the immersion program at IIM Shillong from January 28 to February 1, 2024, was an incredibly enriching and beneficial experience for me. The program introduced me to novel subjects through pre-conference workshops, laying a solid foundation for my research journey. Among the highlights was the session led by a distinguished professor from Malaysia, whose simplicity and encouragement profoundly reassured me of my ability to complete my PhD program successfully.

The faculty at IIM Shillong demonstrated remarkable expertise, clearly explaining complex concepts and techniques and offering practical examples that greatly enhanced my understanding. This experience has significantly broadened my perspective on conducting rigorous and impactful research.

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Mousumi Bhattacharya  is an Associate professor in finance whose research interest spans the field of FINTECH and Financial Services, Mergers & Acquisitions, Corporate Restructurings, Corporate Finance, Business Valuation, Corporate Governance, Earnings Management, Banking and Financial Econometrics. She has done her post graduate degree in business finance, M.Phil. and PhD from University of Calcutta and she was a rank holder at both M.Phil. and post-graduation level. She also has a diploma in business finance from ICFAI University. She has more than 50 scholarly research publications in peer reviewed journals. She is currently the Editor in Chief of  IIMS Journal of Management Science  the journal of the Indian Institute of Management Shillong that publishes research contributions in all areas of management and its allied discipline.

Dr. Mousumi Bhattacharya

Associate Professor, Ph.D., University of Calcutta

Shri Vivek Singh is a public policy and communications professional. He has been serving as OSD (Officer on Special Duty) to the Union Finance & Corporate Affairs Minister since May 2019. He has been a part of the FM’s team in the last 5 Union Budgets and also worked in the Raksha Mantri’s office from November 2018 to May 2019. He was a corporate banker before joining the government.

He is an alumnus of Shri Ram College of Commerce (SRCC), ICAI and IIM Shillong. He is a regular contributor of articles and opinion pieces in leading business dailies where he writes on macro-economy and policy-related topics. While at IIM-Shillong, he was a part of the Student Council and won the Gold Medal for being the Best All-rounder and making the ‘Most Positive Contribution to Campus Life’.

Shri Vivek Singh

OSD to Union Finance Minister, Alumnus, IIM Shillong

Rohit Joshi  is currently working as a Professor in the Operations Management and Quantitative Techniques area at IIM Shillong. He is a Fulbright fellow. He has done his Postdoctoral Research work at UCLA, the University of California, Los Angeles, USA. He has obtained his Ph.D from Department of Management Studies, Indian Institute of Technology Delhi. He has received Master in Technology from Malviya National Institute of Technology, Jaipur, in Industrial Engineering and his bachelor degree in Mechanical Engineering. He is a Gold Medalist and the University topper in his M.Tech and B.Tech respectively. His areas of interest in consulting and teaching assignments include Supply Chain Management, Operations Management, Six Sigma and Lean Thinking, Business Statistics, Project Management, Value-engineering, Design Thinking and Creative Problem Solving.

Rohit Joshi

Professor, Ph.D, IIT Delhi,Postdoc – UCLA, Los Angeles, USA

Maneesh Jaikrishna is currently serving as Regional Vice President for Middle East, APAC and Africa at Embross. Prior to this, he had had an illustrious 21 years career at SITA as the Vice President & General Manager for Indian Subcontinent, Dubai, Eastern & Southern Africa. He brings with him an extensive leadership experience in building organizations from ground up, business transformation and leading multi-functional teams in medium sized and large organizations across 30+ countries across ME, APAC, Indian Subcontinent & Africa while growing profitable businesses in the global Travel & Transport Industry. He has been instrumental in enabling win-win business outcomes through application of advance technology led IT systems and services to improve the travel experience, safety, security and operational efficiency for his airport, airline, government and other industry stakeholders.

Recipient of several awards, he had been nominated to SITA Board for 16 years and currently is an ExCo member in Embross. He has authored several articles, white papers as the media spokesperson which have been covered extensively in leading national and international publications. He had also been nominated to the Sectoral Innovation Council of the Ministry of Civil Aviation and as a member in the FICCI Civil Aviation Committee.

He holds a first class first B.E. (Hons.) degree in Electronics & Telecommunications of Mumbai University, and also an Executive Master of Business Administration degree from IMD Business School, Switzerland.

Shri. Maneesh Jaikrishna

Regional Vice President for Middle East, APAC and Africa at Embross

Degree: MBA for Working Executives (MBAWE)

Duration: Two-Year Program Live Classes held over Electronic Mode

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Dr. D P Goyal, Director, IIM Shillong, is an internationally acclaimed academician and researcher. He carries over thirty-five years of rich experience in teaching, research and various leadership roles in few of India’s finest institutions including MDI Gurgaon, IMT Ghaziabad and Thapar Institute of Engineering & Technology, Patiala. He is also a visiting Professor at Aarhus University, Denmark. Prof Goyal has already supervised fifteen PhD research scholars; published over 60 research papers and has been principal investigator of several sponsored research projects. He has more than a dozen books to his credit which includes three highly popular text books in Information Systems area. He has also been the editor of a couple of research journals and is on the Editorial Board of several national and international journals.

Prof Goyal has been on the expert/assessment/selection committees of various National bodies and is also on the Board of Governor/Governing Council; Academic Advisory Board; Academic Council; Board of Studies of a large number of business schools and universities.

Dr. D P Goyal

Director, Indian Institute of Management Shillong

Shri. Ashutosh Dikshit has over 16 years of professional experience in the roles of Presales, Innovation Consulting, Marketing and Program Management. During his career, he has worked across organizations such as Deloitte, IBM, Wipro Technologies, Birlasoft and University College London. In his current role, Ashutosh leads the CxO and Executive Briefing Program for Europe, Middle East and Africa (EMEA) at Amazon Web Services (AWS) and is based in London. He is an alumnus of IIM Shillong (PGP 2008-10) and is one of the winners of the prestigious Global Peter Drucker Challenge (2015).

Shri. Ashutosh Dikshit

CxO Advocacy and Executive Marketing - Senior Manager EMEA, Amazon Web Services & Alumnus, IIMS

Dr. Paula Sengupta is an artist, academic and curator resident in Kolkata. She graduated in Painting from the College of Art, New Delhi, followed by an MFA and PhD in Printmaking from Kala Bhavana, Santiniketan. She is currently Professor at the Department of Printmaking at Rabindra Bharati University, Kolkata.

She is author of The Printed Picture: Four Centuries of Indian Printmaking published by DAG, New Delhi and Foreign & Indigenous Influences in Indian Printmaking with LAP Lambert Academic Publishing, Saarbrucken, Germany.

Her curatorial projects include a soul (un)gendered: Anupam Sud – A Retrospective for DAG MODERN & KNMA, Delhi in 2019-20; Ghare Baire at the Old Currency Building, Kolkata for DAG MODERN and the Archaeological Survey of India in 2019; Popular Prints and the Freedom Struggle at the Drishyakala Museum, Red Fort, Delhi for DAG MODERN and the Archaeological Survey of India in 2019; the landmark exhibition Trajectories: 19th-21st Century Printmaking from India and Pakistan for the Sharjah Art Museum, Sharjah, UAE in 2014; and six editions of The Printed Picture: Four Centuries of Indian Printmaking for DAG MODERN, India from 2012-18.

Prof. Paula Sengupta

Professor, Ravindra Bharati University

Shri Atul Chandrakant Kulkarni is an Independent Management and Strategy Consultant in Infrastructure domain with special focus on Maritime Industry.

He has been advising various domestic and international clients on Feasibility Study, Project Master Plan, Business Plan, Operations and Strategy. He serves as Director on the boards of Eurasia Special Technologies Pvt Ltd. (Defense Equipment), Varti Agro Pvt Ltd. (Exports of Fresh Fruits), 3.Yuva Vikas Society (Skill Development), etc. He is also associated in the advisory committees and governing councils/boards of SNDT University, Mumbai, Adi Sankara Group of Institutions, Kerala, National Institute of Industrial Engineering (NITIE), Mumbai, among others.

He had earlier been associated in various roles including ‘C Level’ position with Chowgule Ports & Infrastructure Pvt. Ltd., V R Marine Services Pte Ltd, Singapore, Indian Ports Association, Gas Authority of India Limited, Deloitte Touche Tohmatsu India Pvt. Ltd, Ministry of Shipping, GoI, Camlin Ltd. and many others over his 3-decade professional career.

He is also Chairman of a Public Charitable Trust SEIL (Students’ Experience in Inter-state Living) focusing on National Integration.

Shri. Atul Chandrakant Kulkarni

Management Consultant, Director Eurasia Special Technologies Ltd

Shri Shishir Bajoria is a well-known Industrialist and the head of S K Bajoria Group – manufacturing ceramics for the steel industry in India, UK, USA, Germany, China. His businesses also include insurance services involving health and travel insurance administration, claim settlement, insurance and re-insurance broking; as well as an Art Gallery.

He has been the President of the Indian Chamber of Commerce- Kolkata, Honorary Vice Counsel for Denmark in Eastern India and has also been a Director of the State Industrial Development Corporations of Orissa (IPICOL) and West Bengal (WBIDC). He has been Knighted by the Governments of Denmark in 1998 and Italy in 2006. 

Shri. Shishir Kumar Bajoria

Chairman Board of Governors, IIM-S Head of S K Bajoria Group

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International Institute for Population Sciences Deemed to be University (An Autonomous Organization of Ministry of Health & Family Welfare, Government of India)

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Three to Six years including Pre-PhD course work. 

No. of Seats

Two (Without Fellowship)

Eligibility

 (1) Candidates who have completed:  i. A 1-year/2-semester master's degree programme after a 4-year/8-semester bachelor’s degree programme or a 2-year/4-semester master’s degree programme after a 3-year bachelor’s degree programme or qualifications declared equivalent to the master’s degree by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade in a point scale wherever grading system is followed or equivalent qualification from a foreign educational institution accredited by an assessment and accreditation agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of the educational institution. 

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.  Provided that a candidate seeking admission after a 4-year/8-semester bachelor’s degree programme should have a minimum of 75% marks in aggregate or its equivalent grade on a point scale wherever the grading system is followed. A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.  OR ii. Candidates who have completed the M.Phil. programme with at least 55% marks in aggregate or its equivalent grade in a point scale wherever grading system is followed or equivalent qualification from a foreign educational institution accredited by an assessment and accreditation agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of educational institutions, shall be eligible for admission to the Ph.D. programme. 

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.  AND  Candidates having a minimum of five (5) years of work experience post their highest academic degree shall be eligible to apply. Candidates need to submit a “No Objection Certificate” clearly stating that:  i. The candidate is permitted to pursue studies on a part-time basis. ii. His/her official duties permit him/her to devote sufficient time for research. iii. If required, he/she will be relieved from the duty to complete the course work.  The Pre-Ph.D. course work (eight months duration) shall be compulsory for the candidates admitted to the Ph.D. programme under part-time mode. Total duration of part-time Ph.D. programme shall be for a minimum of three years (including coursework) and maximum of six years.   

No Age Limit

Selection criteria.

The admission to Ph.D. programme is through a two-stage process;  Online Entrance Test, and personal interview. The Online Entrance Test will consist of objective type questions of multiple choices. The syllabus of Online Entrance Test will consist of questions on Research Methodology and Population Studies/Demography. The test venue will be notified in the Admit Card. Based on the performance in the Online Test, shortlisted candidates will be called for personal interview at IIPS. Final selection will be based on the weighted average of scores of Online Test and interview in person. The Institute will not bear any travel expense of the candidates called for the test/personal interview. 

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Best Ph.D in Statistics Universities in India

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ANGRAU Guntur - Acharya NG Ranga Agricultural University, Guntur

• Ph.D ( 11 Courses )

AMU Aligarh - Aligarh Muslim University, Aligarh

• Ph.D ( 20 Courses )

AIIMS Delhi - All India Institute of Medical Sciences New Delhi

• Ph.D ( 4 Courses )

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Ranked amongst top 3% universities globally (QS Rankings)

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Amity University, Jaipur

• Fees : ₹ 2.52 Lakhs
• Ph.D ( 10 Courses )

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Amity University, Kolkata

• Fees : ₹ 3.25 Lakhs
• Ph.D ( 12 Courses )

Amity University, Noida

• Ph.D ( 14 Courses )

Andhra University, Visakhapatnam

Annamalai university - annamalai university, annamalai nagar.

• Ph.D ( 26 Courses )

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Assam university, silchar, bbau lucknow - babasaheb bhimrao ambedkar university, lucknow, bharathiar university - bharathiar university, coimbatore.

• Ph.D ( 18 Courses )

Bharathidasan University - Bharathidasan University, Tiruchirappalli

• Ph.D ( 7 Courses )

Bhupal Nobles University, Udaipur

Bir tikendrajit university, imphal, central university of haryana, mahendergarh, central university of odisha, koraput.

• Fees : ₹ 26.42 K
• Ph.D ( 2 Courses )

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Central university of punjab, bathinda.

• Ph.D ( 19 Courses )

CURAJ - Central University of Rajasthan, Ajmer

• Ph.D ( 9 Courses )

CUSB - Central University of South Bihar, Patna

Central university of tamil nadu, thiruvarur.

• Ph.D ( 13 Courses )

Chaitanya University, Hanamkonda

• Fees : ₹ 4.80 Lakhs

CCSHAU Hisar - Chaudhary Charan Singh Haryana Agricultural University, Hisar

• Ph.D ( 22 Courses )

CCSU Meerut - Chaudhary Charan Singh University, Meerut

• Ph.D ( 6 Courses )

Cotton University Guwahati - Cotton College State University, Guwahati

Ddu gorakhpur - deen dayal upadhyaya gorakhpur university, gorakhpur, davv - devi ahilya vishwavidyalaya, indore.

• Ph.D ( 16 Courses )

Dibrugarh University, Dibrugarh

Bamu aurangabad - dr babasaheb ambedkar marathwada university, aurangabad, dbrau agra - dr br ambedkar university, agra, mit-wpu pune - dr vishwanath karad mit world peace university, pune, ysp university - dr yashwant singh parmar university of horticulture and forestry, nauni, govind ballabh pant university of agriculture and technology, pantnagar (gbpuat pantnagar) - govind ballabh pant university of agriculture and technology, pantnagar, gujarat university - gujarat university, ahmedabad, gulbarga university, gulbarga, iimt university, meerut.

• Exams : CSIR UGC NET

IIS University, Jaipur

Iiit vadodara - indian institute of information technology, vadodara.

• Fees : ₹ 4.59 Lakhs
• Ph.D ( 3 Courses )

IIT (ISM) Dhanbad - Indian Institute of Technology Indian School of Mines Dhanbad

Indian statistical institute, delhi, ignou - indira gandhi national open university, new delhi.

• Fees : ₹ 16.80 K

IGNTU Amarkantak - Indira Gandhi National Tribal University, Amarkantak

Iitram ahmedabad - institute of infrastructure technology research and management, ahmedabad.

• Fees : ₹ 2.11 Lakhs

IUST Pulwama - Islamic University of Science and Technology, Pulwama

Jain university - jain deemed to be university, bangalore, kakatiya university, warangal, kannur university, kannur, nmu jalgaon - kavayitri bahinabai chaudhari north maharashtra university, jalgaon, khangchendzonga state university, sikkim, maharaja krishnakumarsinhji bhavnagar university, bhavnagar, maharishi arvind university, jaipur, upcoming arts, humanities and social sciences exams, ( appgcet ) ap post graduate common entrance tests.

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58th Convocation Photos

The centres and outlying offices.

This Institute of National Importance is a unique mulit-locational one. The Headquarters are in Kolkata, with Centres in Bengaluru, Delhi, Chennai and Tezpur and a branch in Giridih. The academic programmes are offered in these locations. In addition, there are offices in Coimbatore, Hyderabad, Mumbai, Pune, Vadodara primarily for consultancy on statistical quality control and operation research in a wide range of industries.

Kolkata Headquarters

Indian Statistical Institute, 203 Barrackpore Trunk Road Kolkata 700108, India.

033-25752001

[email protected]

Website   View map

Delhi Centre

Indian Statistical Institute, 7 S.J.S. Sansanwal Marg New Delhi 110016, India.

011-41493900

[email protected]

Bengaluru Centre

Indian Statistical Institute, 8th Mile, Mysore Road R.V. College Post, Bangalore 560059 India.

080-26985300/2/3/4/5

[email protected]

Chennai Centre

Indian Statistical Institute, 37 Nelson Manickam Road Chateau D'Ampa, Aminjikarai, Chennai 600029 India.

044-23740612, 23740256

[email protected]

North-East Centre, Tezpur

Indian Statistical Institute, North-East Centre Punioni P.O. Solmara Tezpur- 784501 Assam

919531101050, 919531101055

[email protected]

R. C. Bose Centre for Cryptology and Security

45, Barrackpore Trunk Rd, Dunlop

Gupta Niwas, Santhi Nagar Colony, Belghoria

Kolkata, West Bengal 700056

+91 (33) 2575 2012

[email protected]

OUTLYING OFFICES OF ISI

Indian Statistical Institute Rose Villa P.O. New Barganda Giridih 815 301 Jharkhand, India.

06532-222034, 226688

[email protected]

Indian Statistical Institute Street No. 8 Habsiguda Hyderabad 500007 India.

040-27153984, 27171906, 27179402

[email protected]

Indian Statistical Institute 3rd Floor, Room No. 320 Central Government Offices Building (Pratistha Bhavan) 101, Maharshi Karve Road Mumbai 400020 India.

022-22014588, 22004574

[email protected]

Indian Statistical Institute Vishwavidya B-9, B-Wing, 3rd Floor MHADA Building Near Gandhi Bhavan Survey Number 36 Kothrud Pune 411038 India.

020-25386844

[email protected]

Indian Statistical Institute 401 Tirthak Flats 54/1 Arunoday Society Alkapuri Vadodora 390007 India.

0265-2314536

[email protected]

THE CENTRES AND OUTLYING OFFICES OF ISI

The activities of the Institute are organized into divisions, of which seven are for research, development and consultancy activities. Each division comprises of Units. Furthermore, there are Associated Institutions and dedicated R&D Centres of the Institute.

This Institute of National Importance is a unique multi-locational one. The Headquarters are in Kolkata and Centres in Bengaluru, Delhi, Chennai and Tezpur and a branch in Giridih. The academic programmes are offered in these locations. In addition, there are offices in Coimbatore, Hyderabad, Mumbai, Pune, Vadodara primarily for consultancy on statistical quality control and operation research in a wide range of industries.

• Computer & Statistical Service Centre
• T S and Mathematics Division
• Teaching and Training Division
• Social Sciences Division
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• Associate Institutions
• Biological Sciences Division
• Administrative Services Division
• Applied Statistics Division
• Associate Institutions Division
• Computer and Communication Sciences Division
• Library, Documentation and Information Science Division
• Statistical Quality Control and Operations Research Division
• Theoretical Statistics and Mathematics Division
• --> --> Live Link for Downloading Admit Card for Advertisement no. REC-6/2021-3, KOL Dated 30.06.2021     * Help Document for Downloading Admit Card     * Helpdesk Details     |     Pictures of the 56th Convocation of the Institute     |     Admissions 2022     |     --> Contests for Women's Day 2023 Celebration     |     --> 57th Convocation Photos     |     --> APPLICATION FOR PGDBA-2023     |     --> 57th Convocation 2023     |     --> Advertisement for Faculty Recruitment December 2022     |     --> Recruitment for the positions of Administrative Officer & Accounts Officer     |     --> Recruitment for the Posts of Associate Scientist A and Scientific Assistant A     |     Recruitment in various categories of posts     |     2020 Best Publications from ISI     |     ISI Admission 2021     |     PGDBA Admissions 2021     |     --> Alumni news     |     Technology Innovation Hub     |     ISIAA Election     |     --> Prof. C.R. Rao is conferred with the 2023 International Prize in Statistics     |     --> Openings for Visiting Scientists/Research Associates |     Lecture of Prof. Sourav Chatterjee, Professor of Statistics and Mathematics, Stanford University and an Elected Fellow of the Royal Society --> |     ISI CPF Election 2022 Circulars -->     |     The 58th Convocation of the Institute will be held on Tuesday,December 19, 2023, at 11:00 A.M. in the Amrakunja at ISI Kolkata. -->

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  Rules and regulations for Ph. D. students :

  i) Rules and regulations for registration for a Ph.D. degree and for submission and evaluation of a thesis for the award of the Ph.D. degree [23.03.2012].

  ii) Rules and regulations governing Research Fellows and Research Associates [01.05.2011].

  iii) Application form for the registration for the Ph.D. degree [01.05.2011].

  iv) List of Courses : Mathematics , Statistics , Quantitative Economics , Computer Science , Quality Reliability and Operations Research [01.05.2011].

  Old rules and regulations :

  i) Rules and regulations for registration for a Ph.D. degree and for submission and evaluation of a thesis for the award of the Ph.D. degree [01.05.2011].

  ii) Rules and regulations for registration for a Ph.D. degree and for submission and evaluation of a thesis for the award of the Ph.D. degree [ before 01.05.2011]

  iii) Rules and regulations governing Research Fellows and Research Associates

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  UGC’s proposal to permit part-time PhD degree: What is it and how does it work?

  A look at eligibility criteria, specification, and provisions of the proposed programme.

  

  The University Grants Commission is finalising the UGC (Minimum Standards and Procedure for Award of Ph.D. Degree) Regulations draft that it proposed in March this year. With the amendments, working professionals will be able to pursue part-time PhDs programmes .

  Part-time PhD programmes aren’t entirely new to India and are common in the IITs.

  

  With the UGC’s proposal, more higher educational institutions across the country will offer the programme, which will help professionals who cannot afford to take long leaves to pursue their research.

  We explain the eligibility criteria, the requirements for the supervisors and its other provisions:  

  What will be the eligibility criteria for enrollment?

  The eligibility conditions are the same for both full-time and part-time candidates. The work will also be assessed in the same way as done for the full-time PhD students. In addition to meeting the regular criteria, however, the part-time PhD candidates will also have to produce a No-Objection Certificate or NOC from their employer.

  

   “Such part-time PhD programmes are very useful to professionals who cannot take long leave for doing PhD,” UGC Chairman M Jagadesh Kumar told The Indian Express .

  What are the specifications of the NOC?

  Apart from stating that the prospective part-time PhD candidate and employee is permitted to pursue the programme on a part-time basis, the NOC will have to spell out that they will be given sufficient time for research work. 

    The workplace will be required to establish facilities in the employee’s field of research as a doctoral scholar and the organisation will also have to make a submission saying that the employee will be relieved from duty to complete the requisite coursework if required.  

  Offices rarely offer facilities for research and there is a requirement for “facilities in the employee’s field of research at the place of work”.  Isn’t the policy too restrictive?  

  Prof Kumar said that the proposed part-time PhD policy – with NoCs that are required to be submitted by part-time PhD applicants – is in tune with the best institutions in India such as IITs.  

   “Most industries involved in manufacturing, scientific research  or the IT sector do have some facilities for research such as prototyping, testing and measurement. Such applicants can use the facilities in their place of work and also in the University where they register for part-time PhD.”

  He added: “In IITs, students usually work during weekends to use the facilities at the institutions. A similar thing can be done in Universities. Students can also access library e-resources and online computing facilities using secure VPN connection from outside the campus, depending on the IT usage policy of the University.”

  Who will guide the part-time PhD candidates?

  The part-time PhD student will largely work independently but will work on his or her subject in consultation with the supervisor. At least six months of course work will have to be attended by them full-time. Once they complete the course work, they can carry out research under the guidance of a supervisor using the research facilities either in their own organisations or the research facilities in the universities.

  Who will the supervisors be?

  Permanent faculty members with a PhD working as Professor/Associate Professors, with at least five research publications in peer-reviewed or refereed journals may be recognized as research supervisors. 

  Permanent faculty members working as Assistant professors with a PhD degree and at least three research publications in peer-reviewed or referred journals can also be supervisors under the proposed norms.

  Which institutions can offer part-time PhD programmes?

   The PhD regulations shall apply to every University established or incorporated by or under a Central Act, a Provincial Act, or a State Act, as well as every college and higher educational institution declared by a notification in the Official Gazette by the Central Government under Section 3 of UGC Act, 1956.

  How will the quality of the part-time programme be ensured by the UGC?

  Citing the example of the IITs, where part-time PhDs are common, Kumar says that “they have not seen any degradation in the quality of doctoral work”.

  Kumar added that every semester, the part-time PhD candidates would be “required to make presentations and submit progress reports” to the research advisory committee, which is “mandated to make sure that the PhD students carry out research of high standards”.

  Can people who have completed an M Phil in the past and are currently employed as working professionals also apply for the programme?

  Under the proposed revised regulations, one can join PhD programmes either after a four year UG programme or after a two year Master’s degree. The M Phil programme is being phased out from the  2022-23 academic session. However, if one has an M.Phil degree, the research advisory committee may recommend only 12 credits of course work and not more.

  “Their research experience during M.Phil would be helpful just as in the case of the four-year UG honours with research who gain some research experience. In fact, many from scientific research organisations may have some kind of research experience already. That would certainly help them in their part-time PhD programme. Such applicants would also bring a diversity in research problems being studied in the university system,” Prof Kumar said.

  Can a techie working with an IT firm apply for a part-time PhD?

  Anyone can apply as long as they are regular full time employees, their workplace or organisation is recognised by the concerned University, the applicant submits the required NOC, and fulfils the eligibility criteria for PhD admissions.  

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  PhD in Statistics: Course Details, Eligibility, Admission, Fees

  

  PhD in Statistics is a three to six years long doctorate program that deals with the collection, analysis, interpretation, and presentation of numerical data. This course graduate can get many job roles such as Research Analyst, Assistant Professor, Data Analyst, Biostatistician, Data Interpreter, Lecturer, Research Scholar etc.

  PhD Statistics Course Details

  About phd in statistics.

  PhD in Statistics is a three to six years doctorate which is created in such a way that the learners get to know a deep understanding of their chosen topics. Over the past few years, the scope of pursuing PhD courses in India has increased manifolds. Many universities are in front of admission in this PhD course . 

  According to Wikipedia "Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional, to begin with, a statistical population or a statistical model to be studied."

  TABLE OF CONTENTS

  • PhD in Statistics Eligibility Criteria
  • PhD in Statistics Admission Process
  • Who Should Do a PhD in Statistics

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  Study PhD in Statistics in India

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  • PhD in Statistics Fees Structure
  • PhD in Statistics Syllabus and Subjects

  Why Choose PhD in Statistics?

  Phd in statistics course comparison.

  • Scope of Higher Education for PhD in Statistics

  Preparation Tips for PhD in Statistics

  • Salary of a PhD in Statistics Graduate
  • Career Options after PhD in Statistics
  • Skills to Excel

  Eligibility Criteria for PhD in Statistics

  As all the students know how important a PhD in Statistics course is, that’s why it’s quite difficult to get admitted into their respective interested universities. Those students who want to take enrollment in this doctorate program have to qualify for the eligibility criteria i.e one should have a minimum mark of 55% in either MSc or MA in Mathematics or Statistics. 

  There are few PhD Agricultural entrance exams such as GATE, CSIR- UGC NET, UGC-NET, and BHU which have cutoffs to qualify. There is no age limit for the students for taking admission to this course.

  How To Get Admission for PhD in Statistics?

  Admission to the PhD in Statistics course is not impossible if the students ensure that they research the details well. The universities follow the process of entrance-based admissions. The admission process with respect to admission through exams varies from college to college. Online and offline both facilities are available to the students for enrollment. The students are guided to check the college website to get detailed information

  How to Apply?

  There are two ways to apply for admission in the PhD Statistics course. Either online by visiting the college website and following the steps given there or offline by visiting the university's office. 

  There are certain colleges that take interviews for checking the knowledge and communication skills of the candidates.

  Selection Process

  The selection process of the candidates for getting admission in the respective PhD in Statistics course ends on interview. The students who have cracked the entrance exams with good marks can give interviews for the further joining process. The last step of the admission procedure decides whether the student is eligible to take admission or not.

  Who Should Pursue a PhD in Statistics

  A PhD in Statistics is a three to six years doctorate program that makes a student’s career in the public, private, academic, and non-profit sectors. When it comes to your career graph. A PhD in Statistics degree gives a variety of job opportunities to the graduates.

  One of the most sought-after jobs for a PhD Statistics degree holder is of a lecturer or a professor in a university or a researcher in most fields. 

  Along with this, a PhD in Statistics degree holder can get a job in Ecological, Medical, Census, Election, Crime, Education, Film, Cricket, Tourism, Insurance, Statistical Research, Indian Statistical Services, etc. Candidates will have in-depth knowledge and develop mastery over the subjects they have chosen for specialization, which will be extremely useful for them in their careers. Those learners who are interested in these specializations should pursue this course.

  When to do a PhD in Statistics?

  Aspirants are eligible to pursue a PhD in Statistics course only if they have completed their master's degree in a similar course/ field/ stream in which they want to pursue a PhD in Statistics. Some colleges also specify that candidates need to have completed an MPhil to pursue a PhD in Statistics course offered by them.

  A PhD in Statistics is a research-based doctorate program and that's the reason this course can be done in any of three modes i.e full-time, part-time, and distance learning mode. Aspirants can pursue the PhD in Statistics course at many top universities. 

  Full-Time PhD in Statistics

  A full-time PhD Statistics program duration is three to six years that is provided by many top respected colleges or universities. This full-time course is all about classroom-based studying, research projects, and assignments. There are no limitations on the age for taking admissions.

  Part-Time PhD in Statistics

  A part-time PhD Agricultural program is for 6-10 years. This course is basically created for the students who are working somewhere or are professionals. A part-time mode is all about having limited classes. Part-time PhD is mainly focused on research for the development of the company rather than individual research work.

  Distance PhD in Statistics

  A distance PhD in Statistics in India program is quite easy for getting knowledge at any time from anywhere. Many people believe in pursuing this course because of no issue of being physically present at the universities. The objective behind the creation of this distance learning program is to provide the degree along with the knowledge while working.

  Popular Entrance Exams for PhD in Statistics

  Various institutes and testing agencies conduct PhD in Statistics entrance exams for admissions regarding PhD in Statistics and Technology. The following are some of these entrance examinations:

  • CSIR- UGC NET

  A Quick Glance at the PhD in Statistics Entrance Exams

  Students can access the PhD in Statistics course details by going to the college's official website to which they are interested in applying. The specialization plays a vital role in the college's approach to the entrance exam. Below listed are some of the general guidelines of the PhD in Statistics entrance examinations: 

  • The exam pattern includes common topics from 10+2, graduation and postgraduation level i.e. technology, life sciences, mathematics, sciences, and general aptitude.
  • The papers are objective and MCQ-based.
  • The syllabus, mode of examination, and question pattern may change according to a university/conducting body.

  India is home to some of the PhD in Statistics colleges in the world. Aspirants have many options to choose from in terms of the best PhD in Statistics course as per their preferences. Depending on the type of PhD Statistics programs offered, candidates will have to make the appropriate choice. Below are some of the top colleges in India offering PhD in Statistics courses:

  Top 10 PhD in Statistics Colleges in India

  Below is the list of the top best PhD in Statistics colleges in the country:

  Top PhD in Statistics Colleges in New Delhi

  Delhi, the educational hub of India, stands in the fourth position in producing PhD in Statistics candidates. Here are the top 5 PhD in Statistics Colleges in New Delhi:

  Top PhD in Statistics Colleges in Chennai

  The top 5 PhD in Statistics Colleges in Chennai are given below:

  Top PhD in Statistics Colleges in Pune

  Below is the list of colleges which are the top colleges for PhD in Statistics in Pune:

  Top PhD in Statistics Colleges in Bangalore

  Banglore city has some of the best colleges for PhD in Statistics courses in India. Here is the list of top colleges for PhD in Statistics in Bangalore:

  Top PhD in Statistics Colleges in Kolkata

  Check the Table below for the top colleges in Kolkata:

  Top PhD in Statistics Colleges in Hyderabad

  The Telangana state capital has some premier institutions in the country for PhD in Statistics courses in India. Check the table below for the top PhD Statistics colleges in Hyderabad:

  Top PhD in Statistics Government Colleges

  There are several top Government Colleges offering quality PhD in Statistics programmes across the country. Check the table below for the top PhD in Statistics government colleges in India:

  Top PhD in Statistics Private Colleges

  India has seen significant growth in the number of quality PhD in Statistics private colleges that offer some of the best programmes in the country. Check the table below for the top PhD in Statistics private colleges in India:

  Study PhD in Statistics Abroad

  Students can opt to study a PhD in Statistics course abroad if they can afford it. The PhD Statistics course abroad is up to 5-8 years, depending on the type of course, college and country. 

  The benefits of studying a PhD in Statistics course abroad are access to some of the best resources, facilities, and faculties, apart from worldwide exposure in terms of subject matter and other cultures. 

  Top PhD in Statistics Colleges Abroad

  The table below contains the list of some of the best colleges abroad for PhD in Statistics:

  Top PhD in Statistics Colleges in the USA

  The USA is home to some of the best universities and colleges offering top-notch PhD in Statistics programmes in the world. The US is the best country for PhD in Statistics studies and settling abroad. It's a PhD Statistics-level that the USA really shines through. The table below contains the list of top colleges of PhD in Statistics in the USA:

  Top PhD in Statistics Colleges in the Uk

  A PhD in Statistics is a research degree and is the highest award available at universities in the UK. The study is based on a substantial research project on an area of academic interest, typically up to 100,000 words in length, written as a thesis which then must be defended in an oral examination in front of a panel of experts.

  The table below contains the list of top colleges of PhD in Statistics in the Uk:

  Top PhD in Statistics Colleges in Canada

  An increasingly attractive and multicultural study destination, Canada is a great option to consider for your PhD Statistics studies, offering a wealth of research opportunities to help you expand your expertise. Here are the top universities for PhD in Statistics in Canada:

  Top PhD in Statistics Colleges in Australia

  A PhD in Statistics in Australia means that you will develop your knowledge and skills, which ultimately increases your chances for employment within Australia and in any country. According to the UN's Education Index, Australia's education system ranks first. The table below shows the top universities of PhD in Statistics in Australia:

  Top PhD in Statistics Colleges in Germany

  It is much easier to get a PhD in Statistics in a European university, which takes about 3-4 years in a good university in Europe. The PhD Statistics from Germany in engineering enjoys an outstanding reputation. Germany's research institutions, universities and companies welcome international researchers and offer excellent opportunities for doctoral students.

  The table below shows the top universities in Germany colleges of PhD in Statistics:

  Fee Structure for PhD in Statistics

  The fee structure for PhD in Statistics varies for different Universities. Also, the fee structure varies following the course and University. Students can download the admission brochure as well as the course curriculum to get the details of PhD Statistics admission and fee structure. 

  The average PhD in Statistics fee in India is INR 5,000 - 2 LPA. Now, read below to know about the fee structure of different universities.

  Syllabus and Subjects for PhD in Statistics

  PhD in Statistics is a doctorate course in Agriculture. The course may have a duration of 2 years and it is a full-time course. It is a research-based course. In the PhD in Statistics duration, the candidates get to learn the collection, analysis, interpretation, and presentation of numerical data. This course mainly covers areas like Math and Statistics, etc. The students come to know about the fundamentals of agriculture and crop production. Though the actual course offerings might differ from one university to another, here is a list of major subjects which are commonly studied under a PhD Statistics:

  • Statistical Methods
  • Probability Theory
  • Vectors and Matrices
  • C or C++ Programming
  • Numerical Analysis
  • Elementary Inference
  • Statistical Quality Control
  • Mathematical Analysis

  Read More: PhD in Statistics Subjects and syllabus

  When students decide to pursue the PhD in Statistics qualification, they should research PhD in Statistics course details to ensure that they know the course they are enrolled in. Some of the common queries that students encounter are, "What is PhD Statistics" and "Why PhD Statistics?". To understand the answer to these questions, we can make it simpler by breaking it down into the following three short questions:

  What is PhD in Statistics All About?

  A PhD in Statistics or Doctor of Philosophy is a doctoral research degree and is normally the highest level of academic qualification one can achieve. A PhD in Statistics degree holder can get a job as Research Analyst, Assistant Professor, Data Analyst, Biostatistician, Data Interpreter, Lecturer, Research Scholar, and many more. 

  The course has a specialization that deals with Statistical Methods and Mathematical Analysis. Students need to check the PhD in Statistics course outline perfectly.

  What do PhD in Statistics Graduates do?

  Students can select the subjects of their choice depending on their interest in job prospects available in the specific field. Since graduates with a PhD Statistics degree possess skills in various subjects, there are career opportunities available in multiple fields for them. 

  In addition, there are many responsibilities that graduates of this role have to undertake, which makes the role very dynamic and diverse.

  Data Analyst: One of the popular roles undertaken by graduates of the PhD in Statistics course is Data Analyst. Although responsibilities might vary based on position and industry, data analysts are often in charge of gathering data, organizing it, and pinpointing trends and patterns. In the later stages of a project, data analysts produce visualizations and reports and communicate their findings to leadership

  Reasons Why PhD in Statistics Can Fetch You a Rewarding Career?

  PhD in Statistics courses are a very reflective and exciting stream of education. Students can gauge the intrinsic worth of a PhD Statistics course because it offers more avenues of employment opportunities than any other stream. Thus, the PhD in Statistics job scope is forever widening and appealing.

  Diversity in Job roles : There is a diverse range of job roles available for the graduates of this course. Since the specializations available to the students are very flexible, it enables the students to pursue a wide range of roles in their careers.

  Read More: PhD in Statistics Jobs & Scope

  PhD in Statistics stands for Doctor of Philosophy in Statistics and is typically catered to students interested in and inclined towards research-based degrees and professional application. Here is a course comparison of PhD Statistics with another course:

  PhD Statistics vs PhD Agronomy

  There are many tips that students must note when deciding to pursue a PhD in Statistics degree. Some important preparation tips are listed below to ensure that the students crack the course and pass the exams without any hurdles. 

  Improve Vocabulary:  Improving vocabulary is very necessary as the PhD in Statistics course deals with many writing and reading activities. So having excellent communication and writing skills are a plus for the student studying the PhD in Statistics course.

  Read and Practice More: Being up to date with the syllabus every day is very important. Practising and reading more will help the student be thorough with the syllabus and do well in the exams.

  Have Intrinsic Knowledge and Interest in Subjects: Having intrinsic knowledge about the subject and having the same interest will keep the student motivated to learn more than what's in the syllabus.

  Revise Methodically: Revising from time to time can be a key to scoring well in the final exam. Keep revising regularly and understand the subject properly. Revision is the key to scoring good marks.

  Salary of a PhD in Statistics Graduates

  The salary depends on the kind of job you get/you choose to do, what your PhD in Statistics research area is and where you are employed.No prior experience is required to be a PhD in Statistics Student. The average Salary of a PhD in Statistics graduate starts from INR 3 - INR 8 LPA (Source: Payscale), depending on the stream you belong from.

  Read More: PhD in Statistics Job Salary

  Career Options After PhD in Statistics

  A PhD in Statistics degree is pursued by a majority of students because it offers better career options, for example, in the field of academics and research. PhD in Statistics in itself is a broad term, it has many specializations that have different career options and jobs. PhD Statistics Jobs include:

  • Senior Data Science Researcher
  • Life science Teaching Faculty
  • Quantitative Research Scientist
  • Associate Research Scientist, Human Biology
  • Dolat Capital - Quantitative Research Scientist
  • Research Scientist

  Skills That Make You The Best PhD in Statistics Graduates

  For studying a course like PhD in Statistics, there are so many skills that a student needs to have. The skills help the students to get well-maintained dignity, respect, and so much attention. 

  So, that’s why the students need to put their efforts to come out of their comfort zones and earn respect as much as possible. Some of these skills include:

  • Academic Ability
  • Accountability
  • Persistence
  • Good Communication Skills
  • Time Management
  • Open-mindedness and Curiosity to Learn Something New
  • Ability to Think

  Get Free Scholarship worth 25000 INR

  IIT Bombay Department of Mathematics

  The m.sc mathematics programme, ph.d admissions.

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  Admission to Ph.D programme in Mathematics and Statistics

  2016 ). With state-of-the art infrastructural facilities and a sound research base, IITB Mathematics offers a Ph.D. programme in a wide variety of areas. The program leading to the Ph.D. degree involves a course credit requirement and a research project leading to thesis submission. All that you need to know about admissions to our PhD program can be found in the information brochure for PhD admissions, which can be found at the following link. ----- A special welcome to all who wish to pursue a career in Mathematics and Statistics research. The Department of Mathematics, IITB offers a Ph.D. program in a wide variety of areas. To know more about the research interests of faculty members, please visit the page here . The program leading to the Ph.D. degree involves a course credit requirement, clearing of qualifier examinations and a research project leading to thesis submission. For more details, follow one of the links below

  A special welcome to all who wish to pursue a career in Mathematics and Statistics research. The Department of Mathematics, IITB offers Ph.D. program in the areas of Mathematics and Statistics. Admission to the PhD program is based on a written test and interview. There are separate written tests and interviews for students in Mathematics and Statistics. The syllabus is given below. Students are required to choose one option specifying either Mathematics or Statistics.

  To know more about the research interests of faculty members, please visit the page here . The program leading to the Ph.D. degree involves a course credit requirement, clearing of qualifier examinations and a research project leading to thesis submission. For more details, follow one of the links below

  Syllabus for Entrance exam can be found here Past question papers can be found here

  Syllabus for Mathematics Entrance Exam

  Syllabus for Statistics Entrance Exam

  Past Question Papers

  PhD Admissions

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  Minimum Qualifications for admission to Part-time and Sponsored (full-time) PhD Programmes

  The following eligibility conditions apply for the Part-time and sponsored full-time programmes.

  Only employees of Public Sector Undertakings or Government Departments or Research and Development Organizations or Private Industries (approved by Faculty Boards) are eligible for admission to these programmes.

  The minimum full-time experience required after obtaining the qualifying degree and as on date of registration, is given below in Table 2:

  Minimum qualification for these candidates is the same as for full-time candidates, except that the requirement of qualifying in a national examination is waived.

  For part-time candidates from outside NCR (or at a radial distance of more than 50 km from IIT Delhi), there is a minimum residency requirement of 6 months. DRC/CRC/SRC may specify a higher residency requirement based on the courses recommended as well as the background.

  Sponsored (full-time) candidates seeking admission to a Ph.D. programme on the basis of study leave, must submit a “Sponsorship Certificate” on a proper letter head from the appropriate authority in the organization clearly stating the following:

  Part-time candidates are required to submit a “No Objection Certificate” (NOC) on a proper letter head from the appropriate authority in the organization clearly stating the following:

  he/she will be fully relieved from duty and permitted to reside at the Institute for the period of required residency that is essential for completing the course work (this is not a requirement for candidates who are working in NCR or organizations located within a distance of 50 km from the Institute);

  that his/her official duties permit him/her to attend required classes as per the Time Table of IIT Delhi;

  that his/her official duties permit him/her to devote sufficient time for research;

  facilities for research in the candidate’s field of research are available at the candidate’s place of work, in case the proposed Ph. D. research plan requires him/her to use these facilities when the candidate is physically present at this place of work.

  Template of this NOC is available on the IIT Delhi PG admissions website. Kindly note that lack of confirmation and clarity on one or more of the above points in the NOC may make prevent the applicant’s application being processed, even if he/she qualify in the interview/screening.

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  Top PhD Statistics Colleges in India 2024

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  Loyola College

  

  22.2 K - 3.24 Lacs Fees

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  भारतीय सूचना प्रौद्योगिकी संस्थान श्री सिटी, चित्तूर, (an institute of national importance under an act of parliament), ... nationally relevant and internationally recognized entrepreneurial institution ..., ph.d programmes.

  IIITS has significant focus on research demonstrated through sponsored projects and scholarly publications. The institute offers MS and PhD programmes in both disciplines.

  IIITS envisions to be a globally known institution for IT education, research and development. The institute has special thrust to attract and retain talented faculty members who can make a mark in teaching and research at the international level. The current faculty members at IIITS are from leading universities from India and abroad with excellent teaching and research credentials.

  Indian Institute of Information Technology Sri City, Chittoor offers the following Ph.D. programmes that focus on all areas of computing:

  • PhD in Computer Science and Engineering
  • PhD in Electronics and Communication Engineering

  The Board of Governors of IIITS along with the Senate of the Institute decides upon the norms for admission process of research programs.

  General Procedure:

  • Advertisement inviting applicants for post-graduate programs is published on IIITS website.
  • Candidates keen to pursue post-graduate programs need to contact the Academics Office for application form and further details.
  • Admissions are open to all classes, religions, races and genders.
  • The Admissions Committee consisting of faculty and industry experts shortlists candidates based on their education qualifications, grades, academic achievements and work experience.
  • Shortlisted candidates are invited for a personal interview to assess candidate’s knowledge, research and problem-solving skills.
  • Candidates are selected based on their performance in the interview.
  • Communication to selected candidates is sent through mail and the admission list is published on the Institute’s website.
  • Registration happens once the candidate makes the payment towards tuition fee and all the necessary documents are duly verified.

  Admissions into postgraduate programs are done twice in a year, during Monsoon and Spring.

  PhD (Part-Time)

  Part-Time (Industry / Government of India Research Labs such as DRDO, ISRO etc.): At least First class Master degree in the applicable areas or Exceptional candidates having BE / B.Tech in applicable areas. In both cases, the candidate having Master degree should have at least 2 years documented industrial experience in reputed MNCs or Bachelors degree having 5 years documented industrial experience in reputed MNCs.

  Admission Process:

  Candidates recommended by the Applications Scrutiny Committee will be called to appear for an written test.

  The candidates shortlisted based on the written test performance need to appear for a personal interview before the Evaluation Committee.

  The merit list for all the candidates in each category (Institute scholarships, industry personnel) is based on the cumulative score in the written test, interview, marks in UG / PG, experience, and publications. Considering the background experience, greater weightage may be given for the interview and other components (such as academic qualifications, research publications / patents, work experience, etc.)

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  PhD Statistics: Course, Admission, Top Colleges, Syllabus, Jobs

  

  Shruti Sharma

  Content Curator

  • 15 May, 2024 : BIT Mesra Last Date Extended for Ph.D Admission 2024. Apply till May 28, 2024.
  • 11 May, 2024 : Oriental University Admission 2024 is Open for Ph.D Programs. Apply till May 31, 2024.
  • 09 May, 2024 : TNAU Admission 2024 is Open for PG and Ph.D Programs. Apply till June 6, 2024.
  • 04 May, 2024 : IIIT Kalyani Ph.D Admission 2024 is Open till June 10, 2024.
  • 30 April, 2024 : JNU is Accepting NET Scores for Ph.D Admissions 2024.

  PhD Statistics is a minimum 3-year doctoral course in Statistics that primarily deals with data collection, data analysis, data interpretation, and data presentation. It is considered to be an ideal course for statisticians interested in carrying out deep research and in mentoring fellowships regularly to expand their knowledge base.

  Candidates with Master’s degree with Mathematics or Statistics with an aggregate of more than 55% are eligible to apply for the PhD Statistics course. The admission to the PhD Statistics course may be merit-based or entrance exam-based depending on the policy of the university/institute offering the course. BHU UET, UGC-NET, CSIR-NET, GATE are some of the exams whose score is considered for admission to the course by some institutes.

  Some top PhD Statistics institutes are the University of Hyderabad, Pondicherry University, Annamalai University, etc. The average annual fees for a PhD Statistics course in India may range from INR 10,000 to INR 1,50,000 depending on the amenities provided by the institute.

  Aspirants with PhD Statistics degree may find opportunities with different job profiles like Data Analyst, Data Interpreter, Professor, Research Scholar, etc. They may be hired for data analysis and research by economic firms, social research institutes, businesses, commerce, and consulting firms. The average annual salary of a candidate with a PhD Statistics degree in India is in the range of INR 3,00,000 to INR 8,00,000 depending on the skillset of the candidate. Some of the top companies hiring candidates with a PhD Statistics degree are Ford Global Business Services, GE Corporate, Indian Institute of Management Udaipur, Barclays, Ahmedabad University, etc.

  Table of Content

  • PhD Statistics Course Highlights
  • About the PhD Statistics Course
  • PhD Statistics Admission Process
  • PhD Statistics Eligibility
  • PhD Statistics Entrance Exams
  • PhD Statistics Syllabus
  • PhD Statistics Top Colleges in India 
  • PhD Statistics Jobs
  • PhD Statistics FAQs

  PhD Statistics: Course Highlights

  Phd statistics: about the course.

  • PhD Statistics is a research-based course designed for providing specialized knowledge and expertise in data collection, analysis, interpretation, and presentation.
  • The course encompasses various academic disciplines right from humanities to social sciences.
  • Statistics can be classified into two categories namely Mathematical Statistics and Applied Statistics. Applied Statistics can further be classified into Descriptive Statistics and Inferential Statistics.
  • The PhD Statistics course covers all the different categories of Statistics. This course provides a platform for the candidates to perform in-depth research and analysis on different advanced Statistical topics.
  • Candidates may present documentation and research papers on different fields like education and technology thus contributing to the advancement in the field and bringing about major changes in policy.

  PhD Statistics: Admission Process

  The admission process for the PhD Statistics course may be merit-based or entrance exam-based depending on the decision of the college/university offering the course. Some colleges provide admission to candidates based on their score in the Master’s degree examination while some colleges provide admission to candidates based on their score in the entrance examination conducted by them.

  Eligibility

  The eligibility criteria for the PhD Statistics course may vary from college to college. However, the common criteria for the candidates to be eligible for the course are listed below:

  • The candidate must have completed an M.Stat./M.Sc./M.A degree with Mathematics or Statistics as major subjects from a recognized university.
  • The candidate must have scored a minimum of 55% in the Master’s examination.
  • As per the decision of the UGC & Government of India, a 5% relaxation in marks is given to the candidates of SC/ST/OBC and Differently-Abled categories.
  • Applicants clearing the CSIR-NET/UGC-NET/SLET/JRF/GATE in relevant subjects are not required to take the entrance exam for admission.

  Entrance Exams

  Phd statistics: syllabus, phd statistics: top colleges in india, phd statistics: jobs, phd statistics: faqs.

  Ques: What are the eligibility criteria for admission to the PhD Statistics programme?

  Ans. For admission to the PhD Statistics programme, the candidate must have completed a Master’s degree (M.Stat./M.A/M.Sc.) with an aggregate of a minimum of 55%.

  Ques: What is the admission process for the PhD.Statistics Course?

  Ans. Some colleges grant admission to the candidates on the basis of merit that is based on their performance at the Master’s-level exam. Some colleges grant admission to candidates on the basis of their score in the national-level or university-level or institute-level entrance exam. For some institutes, a personal interview or group discussion may be conducted as part of the admission process.

  Ques: Is PhD Statistics programme in Distance Education mode valid in India?

  Ans. The UGC (University Grants Commission) does not approve PhD. courses through distance education mode. As per the statement released in 2017, PhD. courses pursued through distance mode are not valid in India.

  Ques: What are the top colleges to pursue PhD Statistics in India?

  Ans. The top colleges/universities to pursue PhD Statistics in India are Banaras Hindu University, University of Hyderabad, Amity University, Banasthali Vidyapeeth, Pondicherry University, and Annamalai University.

  . Ques. What are the different job profiles available for PhD Statistics degree holders?

  Ans. The different job profiles for PhD Statistics degree holders are Data Analysts, Enumerators, Statisticians, Economists, Research Scholars, Content Developers, and Professors.

  Ques. What is the duration of the PhD Statistics Programme?

  Ans. The duration of the PhD Statistics Programme is a minimum of 3 years and may extend up to a maximum of 6 years.

  Ques. What is the average annual course fee for a PhD Statistics programme?

  Ans. The average annual course fee for a PhD Statistics programme may range from INR10,000 to INR1,50,000.

  Ques. What is the average annual salary of a candidate with a PhD Statistics degree?

  Ans. The average annual salary of a candidate with a PhD Statistics degree is in the range of INR3,00,000 to INR8,00,000.

  Ques. What are the top recruiting companies for candidates completing PhD Statistics courses?

  Ans. The top recruiting companies for candidates completing PhD Statistics course are:

  • Blue Ocean Marketing
  • Deloitte Consulting
  • American Express

  Ques. What are the entrance exams whose scores are considered during admission to the PhD Statistics course?

  The entrance exams whose scores are considered during the admission process to the PhD Statistics course are:

  Ask your question

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  Blockchain booms, risks loom: the ai rescue mission in smart contract auditing, developing incident response plans for insider threats, weis wave: revolutionizing market analysis, top indian institutes for ph.d. in data science.

  

  More and more organizations are now opening up to endless possibilities that data holds, necessitating the presence of people who are capable of unlocking meaningful and actionable insights from the vast amount of data. These people are called data scientists, and what they do—study data and extract insights, is called data science. Data science has become a prominent field over the last few years, and in India too. Consequently, many people are riding the wave and shifting to data-driven careers. A Ph.D. in data science is considered to be a prestigious qualification to advance in a data career. Here is a list of some top Indian institutes for Ph.D. in data science.

  The initial thought that almost every person seeking a Ph.D in data science comes across is to explore the IITs. The Indian Institute(s) of Technology are one of the country’s most prestigious centers of (engineering) excellence. 

  Some Ph.D. in Data Science Programs at IITs

  We have covered a few IITs offering comprehensive science and data science doctorates. Have a look.

  The Indian Institute of Technology Madras (IITM) is one of the oldest institutes catering to higher education in engineering. It was established in 1959 by Prof. Humayun Kabir, Union Minister of Scientific Research and Cultural Affairs, after the first Indo-German agreement in Bonn. With over 16 academic departments and some research centers, IITM ranks among the top engineering institutes for postgraduate and doctorate students.

  IIT Madras offers research programs in several areas like biotechnology, ocean engineering, structural analysis, element modeling, data sciences, and many more. The institute also offers joint Ph.D. programs with universities like the University of Singapore, the University of Bordeaux, Michigan State University, and a few others. Refer to the research programs’ page for more details.

  • IIT Hyderabad

  The Indian Institute of Technology Hyderabad (IITH) , a relatively newer IIT institution branch, was founded in 2008. As one of the nation’s most sought-after institutions for science and technology, IITH has continuously been listed among the top 10 engineering and Ph.D. institutes in India. The institute offers a number of undergraduate, postgraduate, and doctoral programs in all classical engineering disciplines and interdisciplinary areas like artificial intelligence.

  IITH offers regular Ph.D. programs in the following departments: biomedical engineering, artificial intelligence, chemical engineering, climate change, physics, engineering science, civil engineering, mechanical & aerospace engineering, and many other domains. Specifically for a Ph.D. in artificial intelligence or a Ph.D. in data science, in India, IITH is an excellent place to enroll. To know more about the courses and admission requirements, refer here .

  Indian Institute of Technology Delhi (IITD) is one of the 23 Centers of Excellence for engineering, research, and development in science and technology. It was established in 1961 as College of Engineering and was later renamed as IIT-Delhi in 1963. The institute is an excellent place for students to wish to study engineering, sciences, and even business administration.

  The Yardi School of Artificial Intelligence (ScAI) at IIT Delhi offers comprehensive Ph.D. programs in both core and advanced artificial intelligence and data science. The data science Ph.D. course will also include machine learning techniques, mathematical foundations, and applications of artificial intelligence in the field. For more information on Ph.D. programs offered by the Yardi School of Artificial Intelligence, refer to the website .

  • IIT Jodhpur

  IITJ, the Indian Institute of Technology Jodhpur , was established to promote technology-based education and research in India in 2008. The Institute is committed to a multidisciplinary approach to developing new technologies and furthering them as educational courses via its cutting-edge laboratories, academic degree-related activities, and coordinated research efforts. 

  IITJ offers M.Tech, data science Ph.D. courses, and an integrated data science Ph.D. The doctoral program focuses on inculcating deep knowledge and computational thinking skills among students. Students who enroll in Ph.D. in data science will also develop a strong understanding of machine learning, data mining, modeling & simulation, numerical analysis, and other data-related technologies. For details, check out the main website . 

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  Some Other Data Science Ph.D. Courses in India

  Have a look at some more data science Ph.D. courses and institutes offering them.

  • BITS Pilani

  Birla Institute of Technology & Science, BITS Pilani , is the epitome of higher education. The Institute was established in the early 1900s as a small school to train youth. Over the years, it expanded into a set of colleges for higher education that later formed the university. BITS is known to provide top-of-the-line technical education to students all over the world who are admitted on a merit basis. 

  Ph.D. in Data Science at BITS PILANI

  BITS Pilani offers several areas of doctoral education in the data science domain. These areas include:

  • Artificial intelligence, Machine Learning, and Data Mining
  • Computer Architecture, Embedded Systems & Robotics
  • Data Warehousing, Databases, and Advanced Databases
  • High-Performance Computing and Distributed Systems
  • Image Processing & Multimedia
  • Networking and Mobile Computing
  • Algorithms & Theoretical Computer Science 

  The institute primarily offers full-time doctoral courses. Other details, including the fee structure and shortlisting criteria, can be found on the website .

  • Ph.D. in Data Science: Christ (deemed to be) University

  The CHRIST University was founded by St. Kuriakose Elias Chavara, a social reformer, and educationist. It was established as a college with an aim to bring breakthroughs in the Indian higher education landscape using modern curricula and holistic education. After several years of operating as a college, the UGC (University Grants Commission) accredited it with the autonomy of being identified as an institution in 2006. Since then, the (deemed to be) university has focused on Bachelor’s, Master, and Doctoral degrees in social sciences, engineering, architecture, sciences, commerce, and law.

  CHRIST’s doctorate of data science is a unique amalgamation of computer science, mathematics, and statistics. The Ph.D. program also covers the underlying computational models and mathematical research to give students a dynamic learning experience in the data domain. For details about the course and course fee, check the course page .

  • Indian Statistical Institute

  If you are wondering which university is best for data science Ph.D. in India, then the Indian Statistical Institute (ISI) is your answer. Mahalanobis established the prestigious institute in 1931 as a small statistics laboratory in the Presidency College. Soon enough, many people began taking an interest in statistical research, and the wave took over the institute. ISI offers several prestigious postgraduate and doctoral programs across multiple fields, like humanities, commerce, IT, engineering & architecture, management, and sciences. 

  For a Ph.D. in data science domain, ISI offers research fellowships in Statistics, Quantitative Economics, Computer Sciences, Mathematics, and Reliability & Operations Research. Specifically, ISI is an excellent option if you are looking for a Ph.D. in statistics in India. To know more about the program details, refer to the website . 

  • Ph.D. in Data Science at IISc Bangalore

  The Indian Institute of Science (IISc) Bangalore is a reputed research university for higher education in the fields of engineering, management, design, and science. The Department of Computational and Data Sciences (CDS), a division of IISc that specializes in data sciences and computations, grants research-based doctoral degrees. 

  CDS offers two research-based routes for students seeking admission to a Ph.D. in data science: Computational Science (CP) and Computer & Data Systems (CS). CDS-CP includes computational methods in areas like bio-molecular computation, structural biology, medical imaging, and other related fields. CDS-CS designs, implements, and evaluates computer hardware and software systems. For more information, refer to the website .

  • Woxsen University 

  Looking for an integrated data science Ph.D. in India, Woxsen University is a top university in India for data science Ph.D. and is one of the most reliable, privately-held universities in the southern part of the country. Founded in 2014, the university ranks well amongst emerging engineering and business colleges. The university aims at bringing new-age programs in multiple domains like management, architecture, design, liberal arts & sciences, and a few others. 

  In doctoral programs, Woxsen offers both full-time, and executive Ph.D. focused on research and interdisciplinary subjects. It also offers a comprehensive, fully residential Ph.D. in data science. For more information, refer to the website .

  • Ph.D. in Data Science at IIT Guwahati

  Indian Institute of Technology (IIT) Guwahati is a prestigious higher education institution established in 1994. Being the only institute that comes in the top 100 world universities under 50 years of age, it offers comprehensive graduate, postgraduate and doctoral programs. The Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI) offers several Ph.D. courses at IIT Guwahati:

  • Ph.D. in AI 
  • Ph.D. in Machine Learning, Deep Learning, or Reinforcement Learning
  • Ph.D. In Computer Vision, Natural Language Processing, and High-Performance Computing.

  For more information about the courses and admission requirements, refer to the website .

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  • Last updated January 7, 2024
  • In AI Trends & Future

  Check Out These 5 Indian Institutes Offering A PhD In Data Science

  
  • Published on February 13, 2019
  • by Disha Misal
  

  Data Science has become popular in India. Many people are shifting their careers from different fields to data science and AI. A PhD in data science is very demanding and is considered extremely prestigious. India is realising its importance in industries and now has several institutes offering a PhD in data science.

  Table of contents

  1. indian statistical institute (isi) :, 2. iit gandhinagar :, 3. iisc bangalore :, 4. iit delhi :, 5. bits pilani :.

  Here are some institutes that currently have their applications open for a PhD in India.

  The PhD program at ISI provides the students with an exceptional academic environment through a variety of educational and research opportunities. The internationally recognized faculty members actively work in several exciting research areas. PhD students are expected to publish papers in conferences and journals of international repute and are encouraged to collaborate with researchers all over the world, travel to conferences and training programs, and have internships with leading government and industry research labs. ISI has a unique opportunity for outstanding students to apply to the PhD program directly after the completion of their Bachelor’s degree. It also offers a unique flexibility in accepting students without the need for an undergraduate/postgraduate degree in computer science.

  The online application has been started on 5th of February and the deadline is on 12th of March. They have their own admission test which will be on 12th of May. You can find the exam and admission details here .

  IIT Gandhinagar, under its computer science engineering department is offering specialisation in data science PhD. Specialisations are open in the area of Data science, machine learning, NLP, game theory, data mining. Admission is offered on the basis of an interview, which is supplemented by a written test if necessary. The Institute invites a limited number of candidates for a written test and interview based on the academic records, statement of purpose. The final selection will be mainly based on academic credentials, written test and/or interview.

  Application Deadline for a PhD at IIT-Gandhinagar this year is 12th February. Written Tests and/or Interviews will be held sometime around 15-17th March. Here are the details.

  IISc has a department dedicated to data sciences called the Department of Computational and Data Sciences (CDS) that offers research-based degree programs. The research programs are M.Tech. (Research) and Ph.D. The Ph.D program at CDS is the flagship program of the department, and it is these doctoral programmes that have helped IISc secure the rank as top university and top academic institution in India. The Ph.D. students contribute the most to the success of the Institute.

  PhD admission involves a written test followed by and interview of the shortlisted candidates. The applications start in October every year. Here are the details.

  IIT Delhi has a research group called Data Analytics and Intelligence Research ( DAIR ), under the department of Computer Science Engineering, which deals with data. It is focused on combining and integrating various fields of data sciences such as machine learning, data management, and data mining towards the goal of building intelligent software systems. They are involved in NLP, statistical relational learning, social network analytics and crowdsourcing. They have various data science and ML specialisations like Algorithms and Complexity Theory, AI and ML, Databases and Data Analytics, Architecture and Embedded Systems, Graphic and Vision, and many others.

  Here are the details.

  BITS Pilani Goa campus provides a PhD course with a specialised subject as data science. They select candidates based on a test followed by an interview. They also have a part-time PhD program for people working in reputed research organisations, academic institutes and industries, situated close to the vicinity of one of the campuses of BITS Pilani.

  The registrations generally start in the month of December every year. You can find the details here .

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  Student corner, staff matters, biostatistics - phd, phd (biostatistics).

  In order to develop manpower in the area of Biostatistics, the department trains research students for doctoral degree. The students are admitted every year and the details of this programme are as follows.

  Program of Study : Development and application of biostatistics in the field of mental health and neurosciences.

  Number of seats : 01* Seat under Institute Fellowship (Candidates with external fellowship are also taken).

  Duration : 3 – 5 Years

  Minimum Qualification for Admission : M.Stat (ISI) / M.Sc in Statistics / Biostatistics / Medical Statistics / Health Statistics / Agricultural Statistics/ Applied Statistics through regular course from recognized Universities/ Institutions.

  Mode of selection : The candidates will be selected through entrance examination followed by interview.

  Fellowship : The selected candidates will receive fellowship as per NIMHANS guidelines (details in NIMHANS Prospectus)

  So far, 17 PhD degrees have been awarded and the following is the list of research areas of the completed and on-going research.

  • Multivariate analysis to predict Prognosis of Patients with Epilepsy.
  • Statistical  studies on rabies.
  • Application of Path coefficient analyses in the field of psychiatry, neurology and neurosurgery.
  • Empirical study on the performance of the linear discriminant function.
  • Cluster analytic approach in psychiatry with a special reference to child psychiatry.
  • Survival regression and their application in mental health and neurosciences.
  • Development of latent structure model for the computation of disability adjusted life years.
  • Prognostic, calibration and validation of survival models for epilepsy.
  • Relative performance of artificial neural network and logistic regression for outcome prediction in schizophrenia.
  • Meta-analytical approach to estimate pattern of prevalence of schizophrenia and epilepsy In India.
  • Evaluation of clustering methods for pattern recognition in scholastic improvement of rural children.
  • Cluster Formation in Latent Class and Finite Mixture Models.
  • On Certain Statistical Methods to Handle Incomplete Data in Research Studies.
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  Search form

  Scheme for doctoral fellowships.

  1. Introduction :

  Ministry of Statistics & Programme Implementation (MOS&PI) is implementing a Plan scheme,namely, “Awards and Fellowships for Outstanding and Meritorious Research Work in Statistics” . The main objective of this plan scheme is to encourage independent and high quality research work in the field of Applied Statistics particularly on issues and problems relating to the Official Statistical System in the country.

  One of the components/sub-scheme of this scheme is " Doctoral Fellowships ". Under this component/sub-scheme the Ministry provides fellowships for supporting research work for Doctoral studies in statistics from individual research scholars initially for a period of two years,  to start with, which is extendable at the sole discretion of the Ministry of Statistics & Programme Implementation on the basis of the assessment/performance  of  Fellow’s research work. 

  2. Objective :

  The objective of the Doctoral Fellowships Scheme is to encourage good quality and useful research work in the field of Applied/Official Statistics particularly on  some of the critical problems relating to existing data gaps in key socio-economic statistics.  The priority  areas of research work include Human Development, Education, Gender Analysis, Environment, Price, Poverty, Labour, Employment, National Income, Agriculture, Rural Development, Industry, Productivity, Water Resources, Health, Power., Urbanisation and Population. Preference is given for specialized research work in official statistics especially in those spheres where there are some serious unresolved methodological and other problems; and also for the work oriented towards improving statistical practices.

  3. Number of Fellowships :

  The number of Doctoral Fellowships to be awarded every year will depend on the recommendation of the Advisory Committee on Awards regarding suitability of the applications for Doctoral Fellowships.

  4. Eligibility

  The applicants who fulfil the following criteria are eligible:-

  • Indian National;
  • Serving in Government with at least 5 years of experience in Applied/Official Statistics
  • Post Graduate degree in Statistics. Ph.D. registered with a University/institute will be preferred. However, the registration within six months of selection for Fellowships is compulsory.

  5. Age Limit :

  The applicants should be within the age group of 26 - 54 years.

  6. Announcement for inviting Applications :

  Applications for Doctoral fellowships will be invited from various ministries, universities having full fledged Departments  of  Statistics, Statistical Institutions, etc.. Besides placing an announcement for inviting the application on the Website of the Ministry, the announcement would also be sent to selected journals and magazines for publicity.

  7. Fellowship Allowances :

  The amount of fellowship and Contingency Allowances for incidental expenditure for Doctoral Fellowships will be as follows: -

  • The amount of Doctoral fellowship will be Rs. 6000/- per month for a period of 2 years and Rs.6400/- per month for the  extended period of 3 rd year on the recommendation of the Advisory Committee.
  • Besides fellowship amount,  Annual Contingency Allowance of  Rs. 15,000/- per  year  will also be given for incurring expenditures on purchase of items relating  to research work such as   journals, periodicals, stationery,  computer time, preparation of  graphs and charts, travel expenses, etc.  The submission of receipts is essential for adjustment of Contingency Allowance.    The equipments procured out of the contingency funds will be the property of the University/College/Institution on completion/ termination of the fellowship.
  • The selected candidates will have the option either to get fellowship or to get reimbursed registration fee and tuition fee provided he/she does not get any remuneration from any part time employment.   He/she will have to give an undertaking to this effect.   In case the reimbursement sought for registration fee and tuition fee for a year exceeds the amount of fellowship during the corresponding period then the reimbursement would be restricted to the permissible amount of the fellowship.  

  8. Other Allowance and facilities :

  The Doctoral Fellows who are awarded the fellowships would be entitled for House rent Allowance as per the rules of the UGC provided they do not avail of the accommodation of the University/Government/Institution.  The fellows would also be entitled for all medical facilities of the University/Institute, if available.   He will also be eligible to avail of other facilities of the university/institute as per the rules in force applicable to  regular fellows.

  The awardee shall be entitled to all types of leave as per rules of the University/Institution.   Leave upto one month may be granted by the University/University. Beyond it, the period of additional leave upto 2 months will have to be got approved by the concerned Department of the applicant. The applicant will not be allowed to avail of more than three months' leave at a stretch under any circumstances. In case the applicant remains on leave beyond 3 months, it may lead to discontinuation of the fellowship which can be renewed by MOS&PI, New Delhi only under specific request of the Univ./college/ Institute, mentioning circumstances and full justification for such renewal sought.

  10. Procedure for Award :

  Candidates having the requisite qualifications may apply in the prescribed form addressed to the Additional Director General incharge of the scheme for Awards & Fellowships, Central Statistical Organisation, Sardar Patel Bhawan, Sansad Marg, New Delhi-110001.  The applicant is required to submit a brief Synopsis of two pages indicating the subject area of research along with recommendation of the subject expert who is prepared to accept him /her for the research work under his/her guidance. Ph.D. registration with a University will be preferred. However, the registration within six months of selection for the fellowship is compulsory. The candidate is further required to submit a 'No Objection certificate' from the Competent Authority. The eligibility to draw the fellowship amount will be governed by the respective government Service Rules. The application for the Fellowship will be screened by the Screening Committee. The Screening Committee will, in turn, forward the applications of the eligible candidates to the Advisory Committee on Awards for obtaining its recommendations followed by the finalisation of fellowships by MOS&PI.

  11. General Conditions of the Fellowships :

  • The Fellowships are generally tenable at any University approved under the University Grants Commission (UGC) Act, 1956 or in the Institution deemed to be University. The Institution/ University shall provide infrastructure facilities for Research Fellows to meet all the requirements as per the U.G.C. rules.
  • The Fellow shall register himself with the University/Institution as Doctoral Fellow.
  •  The Fellow shall not accept or hold appointment, paid or otherwise, or receive any emoluments from any other source during the tenure of the Fellowship except the payment made by the Parent Ministry/Department.
  • The fellow shall submit a half yearly progress report to this Ministry through the Guide/Supervisor countersigned by the Head of the Department. He/she should also submit an annual progress report of the Research Work.
  • The Fellow shall have to submit a comprehensive report to the Ministry of Statistics & Programme Implementation along with three copies of the Published work/Thesis or Dissertation, if any, and abstract in about 500 words of the research work done during the tenure of the Fellowship.
  • Any work done during the tenure of the Fellowship, if published, should invariably mention  the name of the funding agency viz. Ministry of Statistics & Programme Implementation, New Delhi.
  • The Fellow, before the end of the tenure, may be permitted to withdraw from the Fellowship with the prior notice of  two months provided he/she refunds to the Ministry of Statistics and Programme Implementation the entire amount of the Fellowship paid to the Fellow.
  • The MOS&PI, in consultation with the University/Institution concerned, may terminate the Fellowship at any time without assigning any reasons; and the decision of the Ministry in this regard shall be final. 

  12. Mode of Payment :

  Payment of the Fellowship amount and contingency grant will be made to the candidate through the University/college/Institution. The University/college /Institution may open a separate bank account for this purpose. The University/college /Institution is required to send a half yearly Expenditure Statement alongwith Utilisation Certificate. The MOS&PI will release the fellowship funds to the University/college /Institute on a half-yearly basis.

  13. Extension of Fellowship:

  The Fellow shall submit an annual report of the Research Work to this Ministry. For extension of the Fellowship, Head of the Department should send a report with his recommendation. The Advisory Committee shall consider such requests and make its recommendation to MOS&PI for a final decision in each case.

  APPLICATION FOR DOCTORAL FELLOWSHIP

  8. Details of Employment in chronological order:

  9. Research Work Experience:

  • Proposed place of research work (Institution/University/College etc. with complete address indicating telephone no., Fax no., e-mail etc.)
  • If you have got the CSIR/UGC or any type of fellowship for research, provide details thereof.
  •  Particulars of the Guide (Name, designation, official address, specialisation details etc.) if applicable.
  •   Title of the proposed research work :

  Give a description of the proposed research work (in about 1000 words) giving an outline of the problem, its important objectives, hypothesis to be tested, indicating also the relevance and possible benefit to official statistical system of India.

  • Date of registration and commencement of the research ( if already registered)

        alongwith the recommendation of the guide.

  • Bibliographic details of papers published and accepted in standard journals     (Attested copies must be enclosed)
  • Name and designation of the referees from whom testimonials have been asked. The referees should be requested to send the testimonials directly to this Ministry within a month of submission of application.
  • Other relevant particulars, if any, desired to be furnished.

  I hereby declare that all the statements made in the application are true, complete and correct to the best of my knowledge and belief and in the event of any of the information being found false or incorrect, the action may be taken against me as deemed fit.

  I ……………………….. certify that the above particulars are true to the best of our knowledge and in case, the above fellowship is awarded to the applicant, we undertake to enroll him with our Institution to enable him to pursue the proposed Doctoral Research Work.

  Note: Except the attested copies of the mark sheets, certificates and testimonials, six copies of other papers (application and brief synopsis of the proposed research work) have to be submitted.

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  Copyright © 2024 Ministry of Statistics & Programme Implementation

  

  Ph.D. Programmes

  Noida 15 May 2024 PET Date 04 June 2024

  Lucknow ---------- PET Date 30 Jan 2024 & 06 Feb 2024 ( Last for Jan 2024 session): Only those who qualify for PET will be called for Interview

  Jaipur ---------- Last Date To Apply Is 2nd February 2024

  Gurugram (Manesar) 31 May 2024 Last Date to Apply

  Gwalior ---------- Last Date To Apply Is 2nd February 2024

  Greater Noida 02 Jun 2024 PET Dates 4th June 2024 (July 2024 session): Only those who qualify for PET will be called for Interview.

  Mumbai ---------- Last Date To Apply Is 2nd February 2024

  Raipur ---------- Last Date To Apply Is 19th Feb 2024

  Kolkata 06 Jan 2024 Last date to apply

  Ranchi 30 Dec 2023 Last Date To Apply Is 30th December 2023

  Patna ---------- Last Date To Apply Is 30th December 2023

  Mohali ---------- Last Date To Apply Is 30th December 2023

  

  Search Ph.D Program(s) by campus

  Noida Campus

  Agriculture sciences, doctor of philosophy (agriculture).

  Program Code : 10564 (to be used in the application form)

  Master’s Degree in Agriculture/ Agronomy/ Horticulture / Floriculture/ Vegetable Science / Genetics and /OR Plant Breeding / Plant Physiology/ Microbiology / Agricultural Microbiology / Soil Science OR Agricultural Chemistry / Botany / Agricultural Botany / Plant Pathology /Entomology/Water Science & Technology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Agriculture) - Part Time

  Program Code : 10565 (to be used in the application form)

  Master's Degree in Agriculture/ Agronomy/ Horticulture / Floriculture/ Vegetable Science / Genetics and /OR Plant Breeding / Plant Physiology/ Microbiology / Agricultural Microbiology / Soil Science OR Agricultural Chemistry / Botany / Agricultural Botany / Plant Pathology /Entomology/Water Science & Technology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Horticulture)

  Program Code : 10732 (to be used in the application form)

  Master's Degree in any discipline of Agriculture/ Horticulture / Agronomy / Biotechnology / Environmental Sciences / Floriculture/ Vegetable Science / Genetics and / Plant Breeding / Plant Physiology/ Microbiology / Agricultural Microbiology / Soil Science / Agricultural Chemistry / Botany / Agricultural Botany / Plant Pathology /Entomology/Water Science & Technology/ any branch of Life Sciences from any recognised Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Horticulture) - Part Time

  Program Code : 10733 (to be used in the application form)

  Applied Arts / Fine Arts / Performing Arts / Visual Arts

  Doctor of philosophy (fashion).

  Program Code : 10635 (to be used in the application form)

  Master’s Degree in Fashion Design/ Fashion Technology/ Management with specialization in Fashion / Textile Design and Technology/ Merchandising/ Fashion Communication from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Four years Bachelor's degree with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Fashion) - Part Time

  Program Code : 10636 (to be used in the application form)

  Doctor of Philosophy (Fine Arts)

  Program Code : 101060 (to be used in the application form)

  Master’s Degree in Fine Arts / Visual Arts in Painting / Applied Arts / Art History or its equivalent from any accredited Indian or Foreign University in the relevant field with a minimum 55% marks or grade point average.

  Doctor of Philosophy (Fine Arts) - Part Time

  Program Code : 101061 (to be used in the application form)

  Architecture, Planning & Design

  Doctor of philosophy (architecture & planning).

  Program Code : 10740 (to be used in the application form)

  B. Arch / B. Plan and Master's degree in M. Arch/M. Plan/Urban Planning/Regional Planning/Environmental Planning/Housing or Transport Planning/Landscape Architecture/ Urban Design/Architectural Conservation/Building Engineering and Management/Industrial Design from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Architecture & Planning) - Part Time

  Program Code : 10741 (to be used in the application form)

  Arts, Humanities & Social Sciences AND Journalism / Mass Communication / Media

  Doctor of philosophy (defence & strategic studies).

  Program Code : 101285 (to be used in the application form)

  Master's degree with a minimum of 55% marks or equivalent grade point average from any accredited Indian or Foreign University

  Doctor of Philosophy (Defence & Strategic Studies) - Part Time

  Program Code : 101286 (to be used in the application form)

  Doctor of Philosophy (Drama, Films and New Media)

  Program Code : 101773 (to be used in the application form)

  Master's Degree (agg. 55% or grade point average) in Drama / Theatre / Film Studies / Fine Arts OR Any subject with a minimum of 5 years relevant teaching or professional experience in the drama, films, AVCG or related area.

  Doctor of Philosophy (Drama, Films and New Media) - Part Time

  Program Code : 101774 (to be used in the application form)

  Doctor of Philosophy (Economics)

  Program Code : 10708 (to be used in the application form)

  Master's Degree In Economics from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Economics) - Part Time

  Program Code : 10709 (to be used in the application form)

  Doctor of Philosophy (English)

  Program Code : 10327 (to be used in the application form)

  Master’s Degree in English from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (English) - Part Time

  Program Code : 10328 (to be used in the application form)

  Doctor of Philosophy (Geography)

  Program Code : 101579 (to be used in the application form)

  Postgraduation (M.A./M.Sc.) in Geography with 55 % marks minimum

  Doctor of Philosophy (Geography) - Part Time

  Program Code : 101691 (to be used in the application form)

  Doctor of Philosophy (Governance, Public Policy & Law)

  Program Code : 101372 (to be used in the application form)

  Master's degree in Social Science/ Law/Management with a minimum of 55% marks or equivalent grade point average from any accredited Indian or Foreign University.

  Doctor of Philosophy (Governance, Public Policy & Law) - Part Time

  Program Code : 101373 (to be used in the application form)

  Doctor of Philosophy (History)

  Program Code : 10841 (to be used in the application form)

  Master's Degree in relevant stream from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (History) - Part Time

  Program Code : 10842 (to be used in the application form)

  Doctor of Philosophy (International Relations)

  Program Code : 101102 (to be used in the application form)

  Master’s degree preferably in International Relations, Political Science, Defense and Strategic Studies, Public Administration, History, Economics, Public Policy declared equivalent to the Master’s degree by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade point average.

  Doctor of Philosophy (International Relations) - Part Time

  Program Code : 101103 (to be used in the application form)

  Doctor of Philosophy (Mass Communication)

  Program Code : 10217 (to be used in the application form)

  Master's Degree in Mass Communication OR Any subject with a minimum of 5 years relevant teaching or professional experience in the media with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Mass Communication) - Part Time

  Program Code : 10218 (to be used in the application form)

  Doctor of Philosophy (Political Science)

  Program Code : 10644 (to be used in the application form)

  Master’s Degree in Political Science/ International Relations/ Public Administration from any accredited Indian or Foreign University with a minimum of 55% marks or Equivalent Grade.

  Doctor of Philosophy (Political Science) - Part Time

  Program Code : 10645 (to be used in the application form)

  Doctor of Philosophy (Psychology)

  Program Code : 10081 (to be used in the application form)

  Master’s Degree in Psychology/ Sociology/ Child and Human Development/ Forensic Science/ Social Anthropology/ Education/ Social Work/ Management from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Psychology) - Part Time

  Program Code : 10304 (to be used in the application form)

  

  Doctor of Philosophy (Public Policy & Governance)

  Program Code : 101716 (to be used in the application form)

  Postgraduate in relevant field with min. 55%

  Doctor of Philosophy (Sanskrit)

  Program Code : 101569 (to be used in the application form)

  M.A. in Sanskrit with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Sanskrit) - Part Time

  Program Code : 101570 (to be used in the application form)

   M.A. in Sanskrit with a minimum of 55% marks or grade point average

  Doctor of Philosophy (Social Work)

  Program Code : 10613 (to be used in the application form)

  Master's Degree in Social Work / Sociology/ Social Anthropology/ Psychology/ Community Health/ Development Studies from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Social Work) - Part Time

  Program Code : 10614 (to be used in the application form)

  Doctor of Philosophy (Sociology)

  Program Code : 101106 (to be used in the application form)

  M.A Sociology/ Social Work/ Anthropology/ Gender Studies/ Women Studies/ Population Studies/Social Science with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Sociology) - Part Time

  Program Code : 101113 (to be used in the application form)

  Bio-Sciences & Biotechnology

  Doctor of philosophy (anthropology).

  Program Code : 10605 (to be used in the application form)

  Master's Degree in Anthropology/ Life Sciences/ Social Sciences/ Economics/ Political Science/ Philosophy/ Education/ Archaeology/ History/ Public Administration/ Linguistics/ Public Health with 55% marks or equivalent grade point average.

  Doctor of Philosophy (Anthropology) - Part Time

  Program Code : 10606 (to be used in the application form)

  Doctor of Philosophy (Bioinformatics)

  Program Code : 10673 (to be used in the application form)

  Master's degree in Bioinformatics/Biotech/Computer Application from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Bioinformatics) - Part Time

  Program Code : 10674 (to be used in the application form)

  Doctor of Philosophy (Biotechnology)

  Program Code : 10173 (to be used in the application form)

  Master’s Degree in Biotechnology/ Plant Sc./ Animal Sc./ Genetics/ Molecular Biology/ Biochemistry/ Organic Chemistry/ Biophysics/ Life Sciences/ Biological Sciences Or M Pharm from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Biotechnology) - Part Time

  Program Code : 10307 (to be used in the application form)

  Master’s Degree in Biotechnology/ Plant Sc./ Animal Sc./ Genetics/ Molecular Biology/ Biochemistry/ Organic Chemistry/ Biophysics/ Life Sciences/ Biological Sciences / M Pharm from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Cellular & Molecular Oncology)

  Program Code : 10935 (to be used in the application form)

  M.S/M.D/M.D.S/M.D. Homeopathy/M.D Ayurveda/Post Graduation (Life Sciences, Biotechnology, Biochemistry, Genetics, Microbiology, Molecular Medicine, Stem Cell Biology, Cancer Biology, Human Physiology, Chemistry, Bioinformatics, Biophysics, Veterinary Sciences, Pharmacy, Health & Allied Sciences) with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Cellular & Molecular Oncology) - Part Time

  Program Code : 10936 (to be used in the application form)

  Doctor of Philosophy (Genomics)

  Program Code : 101421 (to be used in the application form)

  Master’s degree in any area of Life Sciences with 55% marks

  Fee (INR) in Lacs 1st Semester - : 0.500

  Doctor of Philosophy (Genomics) - Part Time

  Program Code : 101422 (to be used in the application form)

  Fee (INR) in Lacs 1st Semester - : 0.75

  Doctor of Philosophy (Immunology)

  Program Code : 10438 (to be used in the application form)

  Master’s Degree in Immunology/ Virology/ Biophysics/ Life Sciences/ Biological Sciences/ Biotechnology/ Microbiology/ Bioinformatics/ MBBS/ MVSc./ M.Pharm from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Fee (INR) in Lacs 1st Semester - : 0.50

  Doctor of Philosophy (Immunology) - Part Time

  Program Code : 10439 (to be used in the application form)

  Doctor of Philosophy (Marine Science)

  Program Code : 101699 (to be used in the application form)

  Master Degree in Marine Science / Marine Biology / Oceanography/ Fishery Science/ Bio Science/ Life Science from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Marine Science) - Part Time

  Program Code : 101700 (to be used in the application form)

  Doctor of Philosophy (Medical Microbiology)

  Program Code : 101423 (to be used in the application form)

  Doctor of Philosophy (Medical Microbiology) - Part Time

  Program Code : 101424 (to be used in the application form)

  Doctor of Philosophy (Microbial Technology)

  Program Code : 10077 (to be used in the application form)

  Master's Degree in Microbial Technology/ Life Sciences/ Biological Sciences/ Chemistry/ Biophysics/ Biotechnology/ Pharmacy from any accredited Indian or Foreign University with a minimum of 55% marks or equivalent grade point average.

  Doctor of Philosophy (Microbial Technology) - Part Time

  Program Code : 10309 (to be used in the application form)

  Doctor of Philosophy (Molecular Medicine)

  Program Code : 101488 (to be used in the application form)

  Master's degree in Biomedical Sciences/ Molecular biology/Biotechnology/Microbiology/Biological Sciences/ Biochemistry/ Physiology/Genetics/Molecular Medicine /Chemistry/ Pharmacy and allied medical subjects (min 55%) or MBBS (min. 55%).

  Doctor of Philosophy (Molecular Medicine) - Part Time

  Program Code : 101489 (to be used in the application form)

  Doctor of Philosophy (Nanomedicine)

  Program Code : 101433 (to be used in the application form)

  Master's degree in Biology, Chemistry, Physiology, Microbiology, Zoology, MBBS, BDS or equivalent degree from health care sector with a minimum of 55% marks or equivalent grade point average from any accredited Indian or Foreign University.

  Doctor of Philosophy (Nanomedicine) - Part Time

  Program Code : 101434 (to be used in the application form)

  Doctor of Philosophy (Radiation Biology)

  Program Code : 10440 (to be used in the application form)

  Master’s Degree in Radiation Medicine/ Life Sciences/ Microbiology/ Biochemistry from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Radiation Biology) - Part Time

  Program Code : 10441 (to be used in the application form)

  Doctor of Philosophy (Stem Cell Science & Technology)

  Program Code : 10937 (to be used in the application form)

  Doctor of Philosophy (Stem Cell Science & Technology) - Part Time

  Program Code : 10938 (to be used in the application form)

  Doctor of Philosophy (Synthetic Biology and Genome Engineering)

  Program Code : 101662 (to be used in the application form)

  Master's degree in Biomedical Sciences/ Molecular biology / Biotechnology / Microbiology / Biological Sciences/Life Science/Plant Sciences / Plant Molecular Biology/ Biochemistry/ Physiology/Genetics/Molecular Medicine /Chemistry / Pharmacy / Botany / Zoology / Applied Chemistry and other allied biological or medical subjects (min 55% or equivalent CGPA) or MBBS (min. 55%).

  Doctor of Philosophy (Synthetic Biology and Genome Engineering) - Part Time

  Program Code : 101663 (to be used in the application form)

  Doctor of Philosophy (Virology)

  Program Code : 10436 (to be used in the application form)

  Doctor of Philosophy (Virology) - Part Time

  Program Code : 10437 (to be used in the application form)

  Doctor of Philosophy (Education)

  Program Code : 10321 (to be used in the application form)

  M.Ed./ M.A. (Education)/ Master’s degree in Special Education (M.Ed. (Spl.) from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Education) - Part Time

  Program Code : 10322 (to be used in the application form)

  Doctor of Philosophy (Physical Education)

  Program Code : 10582 (to be used in the application form)

  M.P.Ed/ M.P.E/ M.P.E.S from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Physical Education) - Part Time

  Program Code : 10583 (to be used in the application form)

  Engineering & Technology

  Doctor of philosophy (aerospace engineering).

  Program Code : 101005 (to be used in the application form)

  M.Tech. – Aeronautical / Aerospace / Civil / Mechanical OR M.Sc. – Physics / Mathematics from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average.

  BE / B.Tech  (Aeronautical / Aerospace / Civil / Mechanical) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Aerospace Engineering) - Part Time

  Program Code : 101006 (to be used in the application form)

  M.Tech. – Aeronautical / Aerospace / Civil / Mechanical OR M.Sc. – Physics / Mathematics from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Automobile Engineering)

  Program Code : 101648 (to be used in the application form)

  M. Tech / M.E./M.S. in Mechanical / Automobile / Aerospace / Aeronautical / Power systems/Control Systems/Mechatronics/Industrial Production Engineering/Thermal Engineering/CAD&CAM disciplines with min CGPA of 5.5 or 55% and min 55% aggregate in B.Tech/B.E

  BE / B.Tech (Mechanical / Automobile / Aerospace / Aeronautical / Power systems/Control Systems/Mechatronics/Industrial Production Engineering/Thermal Engineering/CAD&CAM disciplines) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Foreign/ NRI applicants with a Masters’ degree from a foreign university must apply with an equivalence certificate of AIU along with the Online Application Form.

  Doctor of Philosophy (Automobile Engineering) - Part Time

  Program Code : 101649 (to be used in the application form)

  M. Tech / M.E./M.S. in Mechanical / Automobile / Aerospace / Aeronautical / Power systems/Control Systems/Mechatronics/Industrial Production Engineering/Thermal Engineering/CAD&CAM/ disciplines with min CGPA of 5.5 or 55% and min 55% aggregate in B.Tech/B.E.

  Doctor of Philosophy (Civil Engineering)

  Program Code : 10669 (to be used in the application form)

  BE / B Tech (Civil Eng. and relevant areas of Civil Engineering) (min 60%) and ME/ M.Tech/ MS (Civil Eng./ Structural Engineering/ Infrastructural Engineering/ Transportation Eng.) with  minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (Civil Eng. or relevant areas of Civil Engineering) with minimum 80% /  8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Civil Engineering) - Part Time

  Program Code : 10670 (to be used in the application form)

  BE / B Tech (Civil Eng. and relevant areas of Civil Engineering) (min 60%) and ME/ M.Tech/ MS (Civil Eng./ Structural Engineering/ Infrastructural Engineering/ Transportation Eng.) with  minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  Doctor of Philosophy (Computer Science and Engineering)

  Program Code : 10661 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science) (min 60% ) and ME /M Tech/MS (CSE/IT/ECE/Cloud Computing or relevant areas of Computer Science ) with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (CSE/IT or relevant areas of Computer Science) with minimum 80% /  8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Computer Science and Engineering) - Part Time

  Program Code : 10662 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science) (min 60% ) and ME /M Tech/MS (CSE/IT/ECE/Cloud Computing or relevant areas of Computer Science ) with minimum 60% marks or grade point average from any accredited Indian or Foreign University

  Doctor of Philosophy (Defence Technology)

  Program Code : 101653 (to be used in the application form)

  M.E./M. Tech . in any discipline, M.S. in science with minimum 55% mark

  BE / B.Tech in any discipline with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Defence Technology) - Part Time

  Program Code : 101654 (to be used in the application form)

  M.E./M. Tech. in any discipline, M.S. in science with minimum 55% mark

  Doctor of Philosophy (Electrical Engineering)

  Program Code : 10667 (to be used in the application form)

  BE/ B Tech (Elect. Eng./EEE or relevant areas of Electrical Engineering ) (min 60%) and ME/ M.Tech/ MS (Elect. Eng./ EEE/ Power Systems/ Control Systems/ Control and Instrumentation Eng./ Control and Automation/ Power Electronics and Drives/ Electrical Machines ) with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (Elect.Eng./EEE or relevant areas of Electrical Engineering) with minimum 80% /   8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Electrical Engineering) - Part Time

  Program Code : 10668 (to be used in the application form)

  BE/ B Tech (Elect. Eng./EEE and relevant areas of Electrical Engineering ) (min 60%) and ME/ M.Tech/ MS (Elect. Eng./ EEE/ Power Systems/ Control Systems/ Control and Instrumentation Eng./ Control and Automation/ Power Electronics and Drives/ Electrical Machines ) with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  Doctor of Philosophy (Electronics and Communication Engineering)

  Program Code : 10663 (to be used in the application form)

  BE/ B Tech (ECE or relevant areas of Electronics Engineering) (min 60%) and ME/ M.Tech /MS (ECE or Instrumentation or Measurements or Signal Processing or Embedded Systems or VLSI ) with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (ECE or relevant areas of Electronic Engineering) with minimum 80% /  8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Electronics and Communication Engineering) - Part Time

  Program Code : 10664 (to be used in the application form)

  Doctor of Philosophy (Information Technology)

  Program Code : 10535 (to be used in the application form)

  MCA OR M.Sc./M.Tech in (Computer Sc./ Information Tech./ Network Tech./ECE/ Electrical Eng.) from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  BE / B.Tech (Computer Sc./ Information Tech./ Network Tech./ECE/ Electrical Eng.) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Information Technology) - Part Time

  Program Code : 10536 (to be used in the application form)

  Doctor of Philosophy (Mechanical and Automation Engineering)

  Program Code : 10665 (to be used in the application form)

  BE / B Tech (MAE/ME/AE or relevant areas of Mechanical Engineering) (min 60%) and ME/M.Tech/MS in Mechanical and Automation Eng./ Thermal Eng./ Heat Power Eng./ Automobile Eng./ Machine Design/ Production Eng./ Industrial and Production Eng./ Manufacturing/ Industrial production &Management/ Manufacturing and Automation/ Mechanical Eng./ Mechanical and Welding Eng./ Metallurgical and Materials Eng./ Materials Science/ Nuclear Eng./ Fluid Eng./ Energy Systems Eng./ Renewable and Alternative Energy/ Robotics/ Tool Eng./ Turbo-machines/ Hydropower Eng./ Alternate Hydro Energy Systems/ Solar, Renewable and Alternate Energy with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (MAE/ME/AE or relevant areas of Mechanical Engineering) with minimum 80% /  8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Mechanical and Automation Engineering) - Part Time

  Program Code : 10666 (to be used in the application form)

  Doctor of Philosophy (Nuclear Science and Technology)

  Program Code : 10629 (to be used in the application form)

  M.Sc. in Physics/Applied Physics/Chemistry/Radio chemistry Or M. Tech in Nuclear Physics/Nuclear Science/Radio Chemistry from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  BE / B.Tech  in relevant stream of Nuclear Science/Radio Chemistry/Nuclear Physics) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Nuclear Science and Technology) - Part Time

  Program Code : 10630 (to be used in the application form)

  Doctor of Philosophy (Renewable and Alternate Energy)

  Program Code : 10481 (to be used in the application form)

  M. Sc. in Physics with specialization in Solid State Physics/Material Science/ Nanotechnology/ Electronics/ Renewable Energy/Solar energy/ Chemistry/Biochemistry/Biotechnology OR M. Tech. in Electronics/ Material Science/ Renewable Energy/ Solar Energy/ Nanotechnology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.OR

  BE / B.Tech (Electronics/ Material Science/ Renewable Energy/ Solar Energy/ Nanotechnology) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Renewable and Alternate Energy) - Part Time

  Program Code : 10482 (to be used in the application form)

  M. Sc. in Physics with specialization in Solid State Physics/Material Science/ Nanotechnology/ Electronics/ Renewable Energy/Solar energy/ Chemistry/Biochemistry/Biotechnology OR M. Tech. in Electronics/ Material Science/ Renewable Energy/ Solar Energy/ Nanotechnology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Solar Energy)

  Program Code : 10479 (to be used in the application form)

  Doctor of Philosophy (Solar Energy) - Part Time

  Program Code : 10480 (to be used in the application form)

  Doctor of Philosophy (Space Science & Technology)

  Program Code : 101589 (to be used in the application form)

  ME/ M.Tech /MS (ECE, EE, Aerospace Engineering, Instrumentation, Avionics, CSE or related specializations) OR M.Sc. - Physics / Mathematics or any other suitable subjects with a minimum of 55% marks or grade point average from any accredited Indian or Foreign University.

  BE / B.Tech (ECE, EE, Aerospace Engineering, Instrumentation, Avionics, CSE or related specializations) with minimum 80% / 8.0 CGPA is eligible to directly apply for Ph.D programs.

  Doctor of Philosophy (Space Science & Technology) - Part Time

  Program Code : 101590 (to be used in the application form)

  ME/ M.Tech /MS (ECE, EE, Aerospace Engineering, Instrumentation, Avionics, CSE or related specializations) OR M.Sc. - Physics / Mathematics or any other suitable subjects with a minimum of 55% marks or grade point average from any accredited Indian or Foreign University

  Faculty of Arts

  Doctor of philosophy (public policy & governance) - part time.

  Program Code : 101717 (to be used in the application form)

  Health & Allied Sciences

  Doctor of philosophy (hospital administration).

  Program Code : 10639 (to be used in the application form)

  Master's or M.Phil. Degree in all fields of Social Sciences, and Health & Allied Sciences including Hospital Administration, Medical, Dental, Nursing and others from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Hospital Administration) - Part Time

  Program Code : 10640 (to be used in the application form)

  Doctor of Philosophy (Natural Product Chemistry)

  Program Code : 10528 (to be used in the application form)

  M.Pharm. in Pharmaceutical Chemistry/Pharmacognosy OR M.S. (Pharm.) in Natural Products/ Medicinal Chemistry OR M.Sc. Organic Chemistry with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Natural Product Chemistry) - Part Time

  Program Code : 10529 (to be used in the application form)

  Doctor of Philosophy (Neurosciences)

  Program Code : 10623 (to be used in the application form)

  Master's Degree in Neurology/Psychiatry/ Ophthalmology/ Biology/Biotechnology/ Bioinformatics / Chemistry/ Pharmacology/ Physics/ Audiology/ Radiography / Life Sciences/ Veterinary Sciences / Medical Sciences and allied branches or M.Phil. Clinical Psychology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average

  Doctor of Philosophy (Neurosciences) - Part Time

  Program Code : 10624 (to be used in the application form)

  Doctor of Philosophy (Occupational Therapy)

  Program Code : 101417 (to be used in the application form)

  Master’s in occupational therapy from UGC recognized University with 55% marks

  Doctor of Philosophy (Occupational Therapy) - Part Time

  Program Code : 101418 (to be used in the application form)

  Doctor of Philosophy (Pharmaceutical Sciences)

  Program Code : 10311 (to be used in the application form)

  Master’s Degree in Pharmacy from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Pharmaceutical Sciences) - Part Time

  Program Code : 10312 (to be used in the application form)

  Doctor of Philosophy (Physiology)

  Program Code : 101181 (to be used in the application form)

  Master's degree in Medical Physiology/ Animal Physiology / Human Physiology / MD Physiology / MPT / MOT / M.Pharma/ Neuroscience/ Neurophysiology/ Life Sciences / Biomedical Sciences / Biology/ Immunology / Biotechnology in Homeopathic Medicines/ MDS/ other Health & Allied Sciences from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average.

  Doctor of Philosophy (Physiology) - Part Time

  Program Code : 101182 (to be used in the application form)

  Doctor of Philosophy (Physiotherapy)

  Program Code : 10329 (to be used in the application form)

  Master’s Degree in Physiotherapy from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Physiotherapy) - Part Time

  Program Code : 10330 (to be used in the application form)

  Doctor of Philosophy (Public Health)

  Program Code : 10928 (to be used in the application form)

  Minimum 55% marks or equivalent grade point in MD, MS, MPH, M.Pharma / M.Sc (Biotech / Biological Sciences)/ Master's in Social Sciences (Sociology/ Social Work/ Psychology/ Economics/ Political Science/ Anthropology/ Education/ Public Administration/ International Relations/ Human Geography/ Developmental Studies/ Community Health) with 2 years of work experience in Public Health.

  Doctor of Philosophy (Public Health) - Part Time

  Program Code : 10929 (to be used in the application form)

  Doctor of Philosophy (Translational Immunology)

  Program Code : 101809 (to be used in the application form)

  Eligibility : Master’s degree (55% Min) in Biochemistry / Biotechnology / Immunology / Medical Microbiology and other Allied Sciences

  Doctor of Philosophy (Translational Immunology) - Part Time

  Program Code : 101810 (to be used in the application form)

  Master’s degree (55% Min) in Biochemistry / Biotechnology / Immunology / Medical Microbiology and other Allied Sciences

  Doctor of Philosophy (Yoga)

  Program Code : 101664 (to be used in the application form)

  Master degree in Yoga or an equivalent degree with a minimum of 55 % marks from a recognized Institute/University.

  Doctor of Philosophy (Yoga) - Part Time

  Program Code : 101665 (to be used in the application form)

  Hospitality & Tourism

  Doctor of philosophy (hospitality).

  Program Code : 10323 (to be used in the application form)

  Master’s Degree in Hospitality/ Hotel Management/ Management/ Tourism from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Hospitality) - Part Time

  Program Code : 10324 (to be used in the application form)

  Doctor of Philosophy (Travel and Tourism)

  Program Code : 10325 (to be used in the application form)

  Master’s Degree in Tourism/ Hotel Management/ Aviation Management/ Geography/ Sociology/ History from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Travel and Tourism) - Part Time

  Program Code : 10326 (to be used in the application form)

  Doctor of Philosophy (Law)

  Program Code : 10152 (to be used in the application form)

  Master’s Degree in Law from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Law) - Part Time

  Program Code : 10334 (to be used in the application form)

  Management Studies

  Doctor of philosophy (commerce).

  Program Code : 10331 (to be used in the application form)

  Master's Degree in Commerce /Finance and Control /Financial Management/ Risk and Insurance Management / Management / Economics/ Chartered Accountants of ICAI/ Cost and Works Accountancy of ICWAI/ Company Secretaryship of ICSI from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Commerce) - Part Time

  Program Code : 10332 (to be used in the application form)

  Doctor of Philosophy (Finance)

  Program Code : 10444 (to be used in the application form)

  Master's Degree in Finance/ Accounting/ Commerce/ Economics/ MBA with specialization in Finance from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Finance) - Part Time

  Program Code : 10445 (to be used in the application form)

  Doctor of Philosophy (Logistics and Supply Chain Management)

  Program Code : 101566 (to be used in the application form)

  Master's Degree or equivalent in Management/Economics/Commerce/MCA with minimum 55% marks

  Doctor of Philosophy (Logistics and Supply Chain Management) - Part Time

  Program Code : 101567 (to be used in the application form)

  Doctor of Philosophy (Management)

  Program Code : 10205 (to be used in the application form)

  Master’s Degree in Management/ Commerce/ Finance/ Economics / Law/ Foreign Trade/ Operations Research/ Information Technology/ Transport and Logistics/ Agriculture and Food Business/ Banking and Finance/ Insurance and Financial Planning/ Public Administration/ Sociology/ Psychology/ Tourism/ Hospitality/ Hospital Management/ Chartered Accountants of ICAI/ Cost and Works Accountancy of ICWAI/ Company Secretaryship of ICSI from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Management) - Part Time

  Program Code : 10303 (to be used in the application form)

  Natural Resources & Environmental Sciences

  Doctor of philosophy (climate change & ecological studies).

  Program Code : 10771 (to be used in the application form)

  M.Tech / M Sc (Forestry / Environmental Sc/Geograph / GIS&RS/Wildlife Sc./Life Sc./Natural Resources Mgmt / Physics/Chemistry/Maths/Climate Sc./Ecology/Molecular Biology/Biochemistry/Renewable Energy) with minimum 55% marks or grade point average.

  Doctor of Philosophy (Climate change & Ecological Studies) - Part Time

  Program Code : 10772 (to be used in the application form)

  Doctor of Philosophy (Environmental Health Science)

  Program Code : 101823 (to be used in the application form)

  M.Sc. (Environmental Health Science, M.Sc. in Environmental Sciences/ Life Sciences (Botany / Zoology/ Chemistry / Microbiology/ Biotechnology / Bioinformatics/ Biochemistry)/ Earth Sciences / atmospheric Sciences/ Marine Sciences/ Environmental Economics/ Environmental Sociology Or M Tech Environmental Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Environmental Health Science) - Part Time

  Program Code : 101824 (to be used in the application form)

  Doctor of Philosophy (Environmental Sciences)

  Program Code : 10320 (to be used in the application form)

  M.Sc. in Environmental Sciences/ Life Sciences (Botany / Zoology/ Chemistry/ Physics/ Microbiology/ Biotechnology/ Bioinformatics/ Biochemistry)/ Earth Sciences/ atmospheric Sciences/ Marine Sciences/ Environmental Economics/ Environmental Sociology Or M Tech Environmental Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Environmental Sciences) - Part Time

  Program Code : 10319 (to be used in the application form)

  M.Sc. in Environmental Sciences/ Life Sciences (Botany / Zoology/ Chemistry/ Microbiology/ Biotechnology/ Bioinformatics/ Biochemistry)/ Earth Sciences/ atmospheric Sciences/ Marine Sciences/ Environmental Economics/ Environmental Sociology Or M Tech Environmental Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Forestry)

  Program Code : 101646 (to be used in the application form)

  Master degree (MSc.) in Forestry or any relevant subject to forestry or Life Science/Agriculture/Botany/Environmental Sciences/ Biological Sciences/Wildlife Science degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Forestry) - Part Time

  Program Code : 101647 (to be used in the application form)

  Master degree (MSc.) in Forestry or any relevant subject to forestry or Life Science/Agriculture/Botany/Environmental Sciences/ Biological Sciences/Wildlife Science degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average

  Doctor of Philosophy (Geo-Informatics and Remote Sensing)

  Program Code : 10603 (to be used in the application form)

  Master Degree in Geology/Applied Geology/Geophysics/Earth Sciences/ Remote Sensing/ Geoinformatics /Geomatics/ Environmental Sciences/ Forestry/ Geography / Urban and Regional planning/ Agricultural Sciences / Soil Sciences/ Marine Science / Oceanography/ Atmospheric Sciences/ Civil Engineering / Planning and Architecture with a minimum of 55% marks or equivalent grade point average.

  Doctor of Philosophy (Geo-Informatics and Remote Sensing) - Part Time

  Program Code : 10604 (to be used in the application form)

  Doctor of Philosophy (Natural Resources & Sustainable Development)

  Program Code : 10625 (to be used in the application form)

  M Sc. (Physics/ Chemistry/ Mathematics/ Life Sciences/ Botany/ Zoology/ Anthropology/ Veterinary Sc./ Environmental Science/ Forestry/ Wildlife/ Natural Resources/ Climate Science/ Ecology/ Genetics Psychology/ Molecular Biology/ Biochemistry/ Renewable Energy) OR Masters degree in Economics, Geography, Sociology, Environmental Studies, Engineering from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Natural Resources & Sustainable Development) - Part Time

  Program Code : 10626 (to be used in the application form)

  Doctor of Philosophy (Wildlife Sciences)

  Program Code : 10657 (to be used in the application form)

  M.Sc. (Botany/Zoology/Forestry/Life Science/Experimental Biology/Environmental Sciences/ Biological Sciences/Wildlife Science or any subject relevant to Wildlife Sciences) or A.I.F.C. or M.V.Sc. or M.Sc. Agriculture or M.A. (Sociology/Anthropology) Degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Wildlife Sciences) - Part Time

  Program Code : 10658 (to be used in the application form)

  Rehabilitation Sciences

  Doctor of philosophy (clinical psychology).

  Program Code : 10883 (to be used in the application form)

  M.Phil. Clinical Psychology (RCI recognized), 55% marks

  Doctor of Philosophy (Clinical Psychology) - Part Time

  Program Code : 10884 (to be used in the application form)

  Doctor of Philosophy (Special Education)

  Program Code : 10773 (to be used in the application form)

  M. Ed Special Education approved by Rehabilitation Council of India (RCI) with a minimum of 55% marks or equivalent Grade Point Average. Or Master degree in Education/ Psychology/ Social Work/Sociology from any UGC recognized university (any accredited Indian of Foreign University) with a minimum of 55 % marks and RCI approved B. Ed Special Education or equivalent qualification with a minimum of 55% marks.

  Doctor of Philosophy (Special Education) - Part Time

  Program Code : 10774 (to be used in the application form)

  Science & Technology

  Doctor of philosophy (biosensors) - part time.

  Program Code : 10492 (to be used in the application form)

  Master's degree in Biosensors/Bioelectronics/Physical Chemistry/Biology/Biochemistry/Biotechnology/Electronic Bio Engineering with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Biosensors) 

  Program Code : 10491 (to be used in the application form)

  Doctor of Philosophy (Chemistry)

  Program Code : 10315 (to be used in the application form)

  Master's Degree in Chemistry/ Biochemistry/ Industrial Chemistry/ Applied Chemistry/ Medicinal Chemistry/ Environmental Chemistry/ Computational Chemistry/ Pharmaceutical Chemistry/ Chemical Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Chemistry) - Part Time

  Program Code : 10316 (to be used in the application form)

  Doctor of Philosophy (Foods and Nutrition)

  Program Code : 10537 (to be used in the application form)

  M.Sc. Food & Nutrition/ Food Sc. & Tech/ Nutrition/ Nutrition & Dietetics/ Clinical Biochemistry/ Public Health Nutrition/ Institutional Management & Dietetics / Dietetics & Food Service Management with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Foods and Nutrition) - Part Time

  Program Code : 10538 (to be used in the application form)

  Doctor of Philosophy (Food Technology)

  Program Code : 10423 (to be used in the application form)

  Masters degree in Food Technology/ Chemical Engineering with specialization in Food Technology/ Agricultural Processing/ Agricultural Processing & Structures/Food Process Engineering/ Post Harvest Engineering/ Food & Bioprocess Engineering/ Biochemical Engineering/ Dairy Engineering/ Food Biotech Engineering with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Food Technology) - Part Time

  Program Code : 10424 (to be used in the application form)

  Doctor of Philosophy (Forensic Sciences)

  Program Code : 10080 (to be used in the application form)

  Master’s Degree in Forensic Sc./ Physics/ Chemistry/ Biochemistry/ Zoology/ Botany / Molecular Biology/ Microbiology/ M.Sc. Mathematics from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Forensic Sciences) - Part Time

  Program Code : 10305 (to be used in the application form)

  Doctor of Philosophy (Materials and Devices) - Part Time

  Program Code : 10486 (to be used in the application form)

  M.Sc. or M.Tech in Solid State Physics, Physics, Solid State Chemistry, Material Sciences, Solar and Alternate Energy, Nanotechnology, MEMS/NEMS, Industrial Physics, Electronic Science, Bio- Chemistry, Biotechnology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Materials and Devices) 

  Program Code : 10485 (to be used in the application form)

  Doctor of Philosophy (Mathematics)

  Program Code : 10317 (to be used in the application form)

  M.Stat., M.Maths. , M.A/ M.Sc. Or equivalent degree in mathematics with minimum of 55% marks or grade point average.

  Doctor of Philosophy (Mathematics) - Part Time

  Program Code : 10318 (to be used in the application form)

  Doctor of Philosophy (Medical Physics)

  Program Code : 101739 (to be used in the application form)

  M.Sc.(Medical Physics) with 55% Marks OR MSc(Physics) + Diploma in Radiation Physics with 55% Marks

  Doctor of Philosophy (Medical Physics) - Part Time

  Program Code : 101740 (to be used in the application form)

  M.Sc. (Medical Physics)  or M.Sc. (Physics) + Diploma in Radiation Physics

  Doctor of Philosophy (Molecular Science & Engineering)

  Program Code : 10933 (to be used in the application form)

  M.S. / M.Sc. (Chemistry/ Physics/ Material Science/ Biological Science/ Biomedical Engineering/ Chemical Engineering) / M.Pharm with a minimum of 55% marks or equivalent grade point average.

  Doctor of Philosophy (Molecular Science & Engineering) - Part Time

  Program Code : 10934 (to be used in the application form)

  Doctor of Philosophy (Nanoscience and Nanotechnology)

  Program Code : 10206 (to be used in the application form)

  M.Sc. in Physics/ Chemistry/ Bioscience/ Nanoscience/ Forensic Science/ Biochemistry/ Material Science/ Electronic Science/ Environmental Science or equivalent with 55% marks in aggrepate OR M.Tech in Nanotechnology/Biotechnology/Materials/Instrumentation / Electronics/ Food Technology/ Pharmacy/ Chemical Engg./ Biomedical Engg. or equivalent with 55% marks in aggregate.

  Doctor of Philosophy (Nanoscience and Nanotechnology) - Part Time

  Program Code : 10207 (to be used in the application form)

  Doctor of Philosophy (Physics)

  Program Code : 10313 (to be used in the application form)

  Master's Degree in Physics/Material Science OR M.Tech in Aerospace Engineering/ Chemical Engineering/ Civil Engineering/ Electrical Engineering /Mechanical Engineering/ Metallurgical Engineering/ Computer Science with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Physics) - Part Time

  Program Code : 10314 (to be used in the application form)

  Doctor of Philosophy (Statistics)

  Program Code : 10627 (to be used in the application form)

  M.Stat., M.A/ M.Sc. Or equivalent degree in statistics from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Statistics) - Part Time

  Program Code : 10628 (to be used in the application form)

  Lucknow Campus

  Program Code : 11327 (to be used in the application form)

  Program Code : 11328 (to be used in the application form)

  Program Code : 11217 (to be used in the application form)

  Program Code : 11218 (to be used in the application form)

  Program Code : 11081 (to be used in the application form)

  Program Code : 11304 (to be used in the application form)

  Program Code : 11173 (to be used in the application form)

  Program Code : 11307 (to be used in the application form)

  Program Code : 11321 (to be used in the application form)

  Program Code : 11322 (to be used in the application form)

  Program Code : 11669 (to be used in the application form)

  BE / B.Tech (in relevant stream) with minimum 80% / 8.0 CGPA is eligible to directly apply for PhD

  BE/B Tech Civil (and relevant areas of Civil Engg) min 60%, ME/M Tech (and relevant areas of Civil Engg) min 60% (or equivalent grade point) from accredited Indian/Foreign university.

  Program Code : 11670 (to be used in the application form)

  Program Code : 11661 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science ) (min 60% ) and ME /M Tech/MS (CSE/IT/ECE/Cloud Computing or relevant areas of Computer Science ) with a minimum of 60% marks or grade point average from any accredited Indian or Foreign University

  Program Code : 11662 (to be used in the application form)

  Program Code : 11663 (to be used in the application form)

  BE/ B Tech (ECE or relevant areas of Electronics Engineering) (min 60%) and ME/ M. Tech /MS (ECE or Instrumentation or Measurements or Signal Processing or Embedded Systems or VLSI ) with a minimum of 60% marks or grade point average from any accredited Indian or Foreign University.

  Program Code : 11664 (to be used in the application form)

  Program Code : 11535 (to be used in the application form)

  Program Code : 11536 (to be used in the application form)

  Program Code : 11665 (to be used in the application form)

  BE / B Tech (MAE/ME/AE or relevant areas of Mechanical Engineering) (min 60%) and ME/M. Tech/MS in Mechanical and Automation Eng./ Thermal Eng./ Heat Power Eng./ Automobile Eng./ Machine Design/ Production Eng./ Industrial and Production Eng./ Manufacturing/ Industrial production &Management/ Manufacturing and Automation/ Mechanical Eng./ Mechanical and Welding Eng./ Metallurgical and Materials Eng./ Materials Science/ Nuclear Eng./ Fluid Eng./ Energy Systems Eng./ Renewable and Alternative Energy/ Robotics/ Tool Eng./ Turbo-machines/ Hydropower Eng./ Alternate Hydro Energy Systems/ Solar, Renewable and Alternate Energy with a minimum of 60% marks or grade point average from any accredited Indian or Foreign University.

  Program Code : 11666 (to be used in the application form)

  X & XII (min 60%), BE / B Tech (MAE/ME/AE or relevant areas of Mechanical Engineering) (min 60%) and ME/M. Tech/MS in Mechanical and Automation Eng./ Thermal Eng./ Heat Power Eng./ Automobile Eng./ Machine Design/ Production Eng./ Industrial and Production Eng./ Manufacturing/ Industrial production &Management/ Manufacturing and Automation/ Mechanical Eng./ Mechanical and Welding Eng./ Metallurgical and Materials Eng./ Materials Science/ Nuclear Eng./ Fluid Eng./ Energy Systems Eng./ Renewable and Alternative Energy/ Robotics/ Tool Eng./ Turbo-machines/ Hydropower Eng./ Alternate Hydro Energy Systems/ Solar, Renewable and Alternate Energy with a minimum of 60% marks or grade point average from any accredited Indian or Foreign University.

  Program Code : 11311 (to be used in the application form)

  Program Code : 11312 (to be used in the application form)

  Program Code : 11152 (to be used in the application form)

  Program Code : 11334 (to be used in the application form)

  Program Code : 11331 (to be used in the application form)

  Program Code : 11332 (to be used in the application form)

  Program Code : 11078 (to be used in the application form)

  Program Code : 11303 (to be used in the application form)

  Doctor of Philosophy (Applied Chemistry)

  Program Code : 11597 (to be used in the application form)

  Master’s Degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Applied Chemistry) - Part Time

  Program Code : 11598 (to be used in the application form)

  Program Code : 11320 (to be used in the application form)

  M.Sc. in Environmental Sciences/ Life Sciences (Botany / Zoology/ Chemistry/ Microbiology/ Biotechnology/ Bioinformatics/ Biochemistry)/ Earth Sciences/ atmospheric Sciences/ Marine Sciences/ Environmental Economics/ Environmental Sociology Or M Tech Environmental Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Program Code : 11319 (to be used in the application form)

  Program Code : 11317 (to be used in the application form)

  Program Code : 11318 (to be used in the application form)

  Program Code : 11313 (to be used in the application form)

  Program Code : 11314 (to be used in the application form)

  Program Code : 11627 (to be used in the application form)

  Program Code : 11628 (to be used in the application form)

  Jaipur Campus

  Doctor of philosophy (architecture).

  Program Code : 12833 (to be used in the application form)

  Bachelors Degree in Architecture with Masters Degree in Architecture, Planning from any accredited Indian or Foreign University with a minimum of 55% marks or equivalent grade point average.

  Program Code : 12708 (to be used in the application form)

  Program Code : 12327 (to be used in the application form)

  Master’s Degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or Equivalent Grade.

  Program Code : 12635 (to be used in the application form)

  Doctor of Philosophy (French)

  Program Code : 12442 (to be used in the application form)

  MA In French with 55% Marks

  Program Code : 12841 (to be used in the application form)

  Master’s Degree in History/Archaeology/Anthropology or any other relevant discipline from any recognized Indian or Foreign University with a minimum of 55% marks or Equivalent Grade.

  Program Code : 12217 (to be used in the application form)

  Master’s Degree in the relevant field with a minimum of 55% marks or equivalent grade

  Program Code : 12644 (to be used in the application form)

  Master's Degree in Political Science/ International Relations/ Public Administration from any accredited Indian or Foreign University with a minimum of 55% marks or Equivalent Grade.

  Doctor of Philosophy (Spanish)

  Program Code : 121151 (to be used in the application form)

  Masters degree in Spanish with a minimum of 55% marks or equivalent grade point average

  Program Code : 12673 (to be used in the application form)

  M.Sc./M.Tech in Biotech/Bioinfo with 55% Marks

  Program Code : 12173 (to be used in the application form)

  Doctor of Philosophy (Microbiology)

  Program Code : 12921 (to be used in the application form)

  M.Sc./M.Tech in Microbiology/Biotechnology/ Botany/ Zoology/ Life Science/ Pharmacy with 55% Marks

  Program Code : 12661 (to be used in the application form)

  Doctor of Philosophy (Engineering)

  Program Code : 12363 (to be used in the application form)

  Program Code : 12535 (to be used in the application form)

  Doctor of Philosophy (Software Engineering)

  Program Code : 12712 (to be used in the application form)

  Faculty of Health and Allied Sciences

  Program Code : 12329 (to be used in the application form)

  As per UGC guidelines

  Program Code : 12323 (to be used in the application form)

  Program Code : 12152 (to be used in the application form)

  Program Code : 12331 (to be used in the application form)

  Program Code : 12078 (to be used in the application form)

  Program Code : 12320 (to be used in the application form)

  M.Sc. in Environmental Sciences/ Life Sciences (Botany / Zoology/ Chemistry/ Microbiology/ Biotechnology/ Bioinformatics/ Biochemistry and any other related disciplines Or M Tech Environmental Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Program Code : 12315 (to be used in the application form)

  Master's Degree in Chemistry/ Biochemistry/ Industrial Chemistry/ Applied Chemistry/ Medicinal Chemistry/ Environmental Chemistry/ Computational Chemistry/ Pharmaceutical Chemistry/ Chemical Engineering from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average

  Program Code : 12423 (to be used in the application form)

  Program Code : 12317 (to be used in the application form)

  Program Code : 12206 (to be used in the application form)

  Masters degree (M.Sc./M.Tech.) in any branch of Physical, Chemical Sciences or the Engineering from any accredited Indian or Foreign University with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Ocean & Atmospheric Sciences)

  Program Code : 12923 (to be used in the application form)

  Master in Physics/Mathematics/Statistics/Meteorology/Oceanography/Atmospheric sciences with 55% marks

  Program Code : 12313 (to be used in the application form)

  Program Code : 12627 (to be used in the application form)

  Gurugram (Manesar) Campus

  Doctor of philosophy (applied linguistics & tesol).

  Program Code : 131199 (to be used in the application form)

  M.A.l in Linguistics, Applied Linguistics, Anthropological Linguistics, Sociolinguistics, English, Classical & Modern Indian Languages, Philosophy, Religion, Psychology, Sociology, History, Anthropology, Culture Studies, Political Science, Buddhist Studies, Foreign Languages (Arabic, Chinese, French, German, Japanese, Persian, Spanish etc.), Mass Communication, Folklore/Folk Literature, Tribal & Regional Literature, Comparative Literature, Translation Studies, and Area Studies from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average

  Doctor of Philosophy (Applied Linguistics & TESOL) - Part Time

  Program Code : 131200 (to be used in the application form)

  M.A. in Linguistics, Applied Linguistics, Anthropological Linguistics, Sociolinguistics, English, Classical & Modern Indian Languages, Philosophy, Religion, Psychology, Sociology, History, Anthropology, Culture Studies, Political Science, Buddhist Studies, Foreign Languages (Arabic, Chinese, French, German, Japanese, Persian, Spanish etc.), Mass Communication, Folklore/Folk Literature, Tribal & Regional Literature, Comparative Literature, Translation Studies, and Area Studies from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average

  Program Code : 13327 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Stream : Literature

  Program Code : 13328 (to be used in the application form)

  Program Code : 131060 (to be used in the application form)

  Master's Degree in Fine Arts/ Painting/ Sculpture/ Design/ Culture Studies/ Art & Aesthetics/ Fashion Technology/Communication/Mass Communcation from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Program Code : 131061 (to be used in the application form)

  Master's Degree in Fine Arts/ Painting/ Sculpture/ Design/ Culture Studies/ Art & Aesthetics/ Fashion Technology/ Communication/Mass Communcation from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Program Code : 13841 (to be used in the application form)

  Program Code : 13842 (to be used in the application form)

  Doctor of Philosophy (Journalism & Mass Communications)

  Program Code : 13601 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Stream : Advertising, Film Studies, Visual Communication, Journalism

  Doctor of Philosophy (Journalism & Mass Communications) - Part Time

  Program Code : 13602 (to be used in the application form)

  Program Code : 131569 (to be used in the application form)

  Master's Degree in Sanskrit from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Program Code : 131570 (to be used in the application form)

  Program Code : 13613 (to be used in the application form)

  Masters degree in sociology/social work/social anthroplogy/psychology/community health/rural develoment from any accredite indian or Foreign university with min 55% marks or equivalent grade point average.

  Program Code : 13614 (to be used in the application form)

  Ph.D. in Political Science

  Program Code : 13644 (to be used in the application form)

  Master’s Degree in Political Science/ International Relations/ Public Administration from any recognized Indian or Foreign University with a minimum of 55% marks or Equivalent Grade.

  Ph.D. in Political Science (Part Time)

  Program Code : 13645 (to be used in the application form)

  Faculty of Architecture and Planning

  Doctor of philosophy (planning).

  Program Code : 13611 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Applicants with B.Arch with excellent academic records(minimum CGPA of 7.5 on a 10 point scale or equivalent or 70% marks) may be considered eligible for admission to Ph.D. program in Engineering & Technology. Stream : Any Field pertaining to Town Planing

  Doctor of Philosophy (Planning) - Part Time

  Program Code : 13612 (to be used in the application form)

  Doctor of Philosophy (Audiology & Speech-Language Pathology)

  Program Code : 131781 (to be used in the application form)

  MSc (Speech & Hearing), MSc (Audiology), MSc (Speech Language Pathology), Master of Audiology and Speech Language Pathology from any UGC recognised university and 55% marks/equiavelnt grade point average.

  Doctor of Philosophy (Dietetics & Applied Nutrition)

  Program Code : 13843 (to be used in the application form)

  M.Sc. Food & Nutrition/ Food Sc. & Tech/ Nutrition/ Nutrition & Dietetics/ Public Health Nutrition/ Institutional Management & Dietetics / Dietetics & Food Service Management with a minimum of 55% marks or equivalent grade point average.

  Doctor of Philosophy (Dietetics & Applied Nutrition) - Part Time

  Program Code : 13844 (to be used in the application form)

  Program Code : 13639 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be MHA/PGDHM from any recognized Indian or Foreign University, with a minimum of 55% marks or Equivalent Grade.

  Program Code : 13311 (to be used in the application form)

  Master Degree in Pharmacy from any PCI approved institution or equivalent Foreign University with a minimum of 55% marks or equivalent grade point average.

  Program Code : 13312 (to be used in the application form)

  Faculty of Law

  Program Code : 13152 (to be used in the application form)

  Master's Degree from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Program Code : 13334 (to be used in the application form)

  Faculty of Management Studies & Behavioural Sciences

  Program Code : 13331 (to be used in the application form)

  Program Code : 13332 (to be used in the application form)

  Program Code : 13078 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Stream : HR,Marketing,Finance,Agriculture Management, Industrial Relations, Operation Research, International Business

  Program Code : 13303 (to be used in the application form)

  Program Code : 13081 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Stream : Clinical,Industrial,Organizational,Occupational

  Program Code : 13304 (to be used in the application form)

  Ph.D. in Economics

  Program Code : 13708 (to be used in the application form)

  Ph.D. in Economics (Part Time)

  Program Code : 13709 (to be used in the application form)

  Faculty of Science Engineering and Technology

  Doctor of philosophy (atmospheric science and technology).

  Program Code : 131051 (to be used in the application form)

  1. The minimum qualification for admission to Ph.D. Programme shall be a Master’s Degree in Physics, Chemistry, Mathematics, Engineering, Geology, Geophysics, Biology, Biotechnology, Earth Science,Environment or any other relevant disciplines with a minimum of 55% marks or equivalent grade. 2. Applicants with B.E. / B.Tech. all streams with excellent academic record (with minimum CGPA of 7.5 on a 10 point scale or equivalent or 70% marks) may also be considered eligible for admission to Ph.D. programme.

  Doctor of Philosophy (Atmospheric Science and Technology) - Part Time

  Program Code : 131052 (to be used in the application form)

  Doctor of Philosophy (Biochemistry)

  Program Code : 13847 (to be used in the application form)

  M.Sc in Chemistry/ Bio Chemistry/in any branch of Life Science with minimum of 55% marks from any recognized national or foreign university

  Doctor of Philosophy (Biochemistry) - Part Time

  Program Code : 13848 (to be used in the application form)

  Program Code : 13173 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Stream : Environmental Studies,Biofuels, Fermentation Technology,Tissue Culture/Medicinal Plants,Soil Microbiology,Stem Cells, Transgenics, Medical Biochemistry,Medical Microbiology, Bioinformatics & Drug Designing

  Program Code : 13307 (to be used in the application form)

  Program Code : 13315 (to be used in the application form)

  Program Code : 13316 (to be used in the application form)

  Doctor of Philosophy (Data Sciences)

  Program Code : 131334 (to be used in the application form)

  Master’s Degree from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Data Sciences) - Part Time

  Program Code : 131335 (to be used in the application form)

  Program Code : 13363 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master`s Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Applicants with B.Tech with excellent academic records(minimum CGPA of 7.5 on a 10 point scale or equivalent or 70% marks) may be considered eligible for admission to Ph.D. program in Engineering & Technology. Stream : Computer Science, Electronics & Communication, Electrical Engineering, Mechanical Engineering, Civil Engineering, Software Engineering

  Doctor of Philosophy (Engineering) - Part Time

  Program Code : 13364 (to be used in the application form)

  The required minimum qualification for admission to Ph.D program shall be a Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade. Applicants with B.Tech with excellent academic records(minimum CGPA of 7.5 on a 10 point scale or equivalent or 70% marks) may be considered eligible for admission to Ph.D. program in Engineering & Technology. Stream : Computer Science, Electronics & Communication, Electrical Engineering, Mechanical Engineering, Civil Engineering, Software Engineering

  Program Code : 13080 (to be used in the application form)

  Master’s Degree in Forensic Sc./ Physics/ Chemistry/ Biochemistry/ in any branch of life science from any recognized Indian or Foreign University with a minimum of 55% marks or grade point average.

  Program Code : 13305 (to be used in the application form)

  Program Code : 13317 (to be used in the application form)

  Program Code : 13318 (to be used in the application form)

  Doctor of Philosophy (Nanotechnology)

  Program Code : 131055 (to be used in the application form)

  M.Sc. in Physics/ Chemistry/ Bio-science/ Nano-science/ Forensic Science/ Biochemistry/ Material Science/ Electronic Science/ Environmental Science or equivalent with 55% marks in aggregate OR M.Tech in Nanotechnology/Biotechnology/Materials/Instrumentation / Electronics/ Food Technology/ Pharmacy/ Chemical Engg./ Bio-medical Engg. or equivalent with 55% marks in aggregate.

  Doctor of Philosophy (Nanotechnology)- Part Time

  Program Code : 131056 (to be used in the application form)

  Program Code : 13313 (to be used in the application form)

  Program Code : 13314 (to be used in the application form)

  Ph.D in Information Technology

  Program Code : 13535 (to be used in the application form)

  Ph.D in Information Technology - Part Time

  Program Code : 13536 (to be used in the application form)

  Doctor of Philosophy (Audiology & Speech-Language Pathology) - Part Time

  Program Code : 131782 (to be used in the application form)

  Doctor of Philosophy (Earth and Environmental Sciences)

  Program Code : 131470 (to be used in the application form)

  Post Graduate/ M. Phil. degree in any of following domain: (a). Environmental Science, Life Science, Earth Science, Geology, Geography and allied subjects. (b). Natural Science, Engineering and allied subjects. (c). Basic and Interdisciplinary subjects related with Environmental Sciences.

  Doctor of Philosophy (Earth and Environmental Sciences) - Part Time

  Program Code : 131471 (to be used in the application form)

  Gwalior Campus

  Program Code : 14327 (to be used in the application form)

  The minimum qualification for admission to Ph.D. Programme shall be a Master's Degree in the relevant field with a minimum of 55% marks or equivalent grade.

  Program Code : 14601 (to be used in the application form)

  Program Code : 14081 (to be used in the application form)

  Master Degree in Psychology with a minimum of 55% marks or equivalent grade point average from any accredited Indian or Foreign University.

  Program Code : 14173 (to be used in the application form)

  Program Code : 14363 (to be used in the application form)

  1. The minimum qualification for admission to Ph.D. Programme shall be a Master's Degree in the relevant field with a minimum of 55% marks or equivalent grade. Applicants with B.Tech./B. Arch. with excellent academic record (with minimum CGPA of 6.0 on a 10 point scale or equivalent or 55% marks) may be considered eligible for admission to Ph.D. programme in Engineering & Technology. Streams : Computer Science Engg., Electronics & Communication, Mechanical Engg & Civil Engg.

  Program Code : 14152 (to be used in the application form)

  Program Code : 14078 (to be used in the application form)

  The minimum qualification for admission to Ph.D. Programme shall be a Master's Degree in the relevant field with a minimum of 55% marks or equivalent grade. Applicants with Chartered Accountancy (CA) qualifications from ‘The Institute of Chartered Accountants of India' (ICAI) with a minimum 55% marks or equivalent grade may be considered eligible for admission to Ph.D. programmes in the field of Commerce and other related areas of Ph.D. in Management.

  Program Code : 14320 (to be used in the application form)

  Program Code : 14597 (to be used in the application form)

  Doctor of Philosophy (Applied Mathematics)

  Program Code : 14599 (to be used in the application form)

  Program Code : 14595 (to be used in the application form)

  Greater Noida Campus

  Program Code : 16363 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science ) (min 60% ), and ME /M Tech/MS (CSE/IT/ECE/Cloud Computing or relevant areas of Computer Science ) with a minimum of 55% marks or grade point average from any accredited Indian or Foreign University /MCA OR M.Sc./M.Tech in (Computer Sci./ Information Tech./ Network Tech./ECE/ Electrical Eng.) from any accredited Indian or Foreign University with a minimum of 60% marks or grade point average.

  Program Code : 16364 (to be used in the application form)

  BE /B Tech (CSE/IT/CE or relevant areas of Computer Science ) (min 60% ), and ME /M Tech/MS (CSE/IT/ECE/Cloud Computing or relevant areas of Computer Science ) with a minimum of 55% marks or grade point average from any accredited Indian or Foreign University /MCA OR M.Sc./M.Tech in (Computer Sci./ Information Tech./ Network Tech./ECE/ Electrical Eng.) from any accredited Indian or Foreign University with a minimum of %60 marks or grade point average.

  Program Code : 16078 (to be used in the application form)

  Master’s Degree in Management/ Commerce/ Finance/ Economics / Law/ Foreign Trade/ Operations Research/ Information Technology/ Transport and Logistics/ Agriculture and Food Business/ Banking and Finance/ Insurance and Financial Planning/ Public Administration/ Sociology/ Psychology/ Tourism/ Hospitality/ Hospital Management/ Chartered Accountants of ICAI/ Cost and Works Accountancy of ICWAI/ Company Secretaryship of ICSI from any accredited Indian or Foreign University with a minimum of 60% marks or grade point average.

  Program Code : 16303 (to be used in the application form)

  Mumbai Campus

  Program Code : 17833 (to be used in the application form)

  B. Arch / B. Plan and Master's degree in M. Arch/M. Plan/Urban Planning/Regional Planning/Environmental Planning/Housing or Transport Planning/Landscape Architecture/Urban Design/Architectural Conservation/Building Engineering and Management/Industrial Design from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Doctor of Philosophy (Architecture) - Part Time

  Program Code : 17834 (to be used in the application form)

  Program Code : 17708 (to be used in the application form)

  M.A./ M.sc with minimum 55% marks in Economics, development Studies, Management, Statistics, Rural Development, South Asian Studies, International Relations, Area Studies, Public Administration, Public Policy, Globalization and any such allied social sciences fields.

  Program Code : 17709 (to be used in the application form)

  Program Code : 17635 (to be used in the application form)

  Program Code : 17636 (to be used in the application form)

  Program Code : 17644 (to be used in the application form)

  M.A./ M.sc with minimum 55% marks in development Studies, Statistics, Rural Development, Political Sciences, South Asian Studies, International Relations, Area Studies, Public Administration, Public Policy, Globalization and any such allied social science fields.

  Program Code : 17645 (to be used in the application form)

  Program Code : 17081 (to be used in the application form)

  Program Code : 17304 (to be used in the application form)

  Program Code : 17173 (to be used in the application form)

  Master's Degree from any recognized Indian or Foreign University, in the relevant field with a minimum of 55% marks or Equivalent Grade

  Program Code : 17307 (to be used in the application form)

  Program Code : 171005 (to be used in the application form)

  M.Tech.M.E.- Aeronautical / Aerospace / Civil / Mechanical/ Automobile from any accredited Indian University or Foreign University in the relevant field with a minimum of 60% marks or equivalent grade point average

  Program Code : 171006 (to be used in the application form)

  M.Tech.M.E.– Aeronautical / Aerospace / Civil / Mechanical/ Automobile from any accredited Indian University or Foreign University in the relevant field with a minimum of 60% marks or equivalent grade point average

  Program Code : 17669 (to be used in the application form)

  BE / B Tech (Civil Eng. and relevant areas of Civil Engineering) and ME/ M.Tech/ MS (Civil Eng. and relevant areas of Civil Engineering) with a minimum of 60% marks or grade point average at PG level from any accredited Indian or Foreign University.

  Program Code : 17670 (to be used in the application form)

  Program Code : 17661 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science and Engineering ) and ME /M Tech/MS (CSE/IT/ or relevant areas of Computer Science & Engineering) with a minimum of 60% marks or grade point average at PG level from any accredited Indian or Foreign University

  Program Code : 17662 (to be used in the application form)

  Program Code : 17665 (to be used in the application form)

  BE / B Tech (MAE/ME/AE or relevant areas of Mechanical Engineering) (min 60%) and ME/M.Tech/MS in Mechanical and Automation Eng./ Thermal Eng./ Heat Power Eng./ Automobile Eng./ Machine Design/ Production Eng./ Industrial and Production Eng./ Manufacturing/ Industrial production &Management/ Manufacturing and Automation/ Mechanical Eng./ Mechanical and Welding Eng./ Metallurgical and Materials Eng./ Materials Science/ Nuclear Eng./ Fluid Eng./ Energy Systems Eng./ Renewable and Alternative Energy/ Robotics/ Tool Eng./ Turbo-machines/ Hydropower Eng./ Alternate Hydro Energy Systems/ Solar, Renewable and Alternate Energy with minimum 60% marks or grade point average from any accredited Indian or Foreign University.

  Program Code : 17666 (to be used in the application form)

  Program Code : 17327 (to be used in the application form)

  Masters Degree in English from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average

  Program Code : 17328 (to be used in the application form)

  Program Code : 17535 (to be used in the application form)

  Program Code : 17536 (to be used in the application form)

  Program Code : 17152 (to be used in the application form)

  Master’s degree in Law with minimum 55% marks or equivalent grade or M. Phil in law or LL.B Degree with 55% of marks with at least 10 years of legal practice or experience in a judicial / legal job with published professional work or otherwise proven research interest. These candidates will be treated as Corporate Research Scholar.

  Program Code : 17334 (to be used in the application form)

  Doctor of Philosophy (Built Environment)

  Program Code : 17633 (to be used in the application form)

  Master’s Degree or equivalent in Real Estate / Urban Management/ Urban or Regional Planning/ Civil Engineering/ Construction Engineering/ Economics/ Commerce/ Law / Architecture / Mathematics / Sociology or MBA from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Doctor of Philosophy (Built Environment) - Part Time

  Program Code : 17634 (to be used in the application form)

  Doctor of Philosophy in Management (Marketing/Finance/HR/IT)

  Program Code : 17931 (to be used in the application form)

  Master’s Degree from any recognized Indian or Foreign University in the relevant field with a minimum of 55% marks or grade point average.

  Doctor of Philosophy in Management (Marketing/Finance/HR/IT) - Part Time

  Program Code : 17932 (to be used in the application form)

  Program Code : 17320 (to be used in the application form)

  Program Code : 17319 (to be used in the application form)

  Program Code : 17315 (to be used in the application form)

  Program Code : 17316 (to be used in the application form)

  Program Code : 17317 (to be used in the application form)

  Program Code : 17318 (to be used in the application form)

  Program Code : 17313 (to be used in the application form)

  Program Code : 17314 (to be used in the application form)

  Raipur Campus

  Program Code : 18741 (to be used in the application form)

  Program Code : 18327 (to be used in the application form)

  Program Code : 18328 (to be used in the application form)

  Program Code : 18173 (to be used in the application form)

  Master's Degree in Biotechnology/ Plant Sc./ Animal Sc./ Genetics/ Molecular Biology/ Biochemistry/ Organic Chemistry/ Biophysics/ Life Sciences/ Biological Sciences Or M Pharm from any accredited Indian or Foreign University in the relevant field with a minimum of 55% marks or equivalent grade point average

  Program Code : 18307 (to be used in the application form)

  Program Code : 18661 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science ) (min 55% ) and ME /M Tech/MS (CSE/IT/ECE or relevant areas of Computer Science) with a minimum of 55% marks or grade point average from any accredited Indian or Foreign UniversityMaster’s Degree from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Program Code : 18662 (to be used in the application form)

  BE /B Tech (CSE/IT or relevant areas of Computer Science ) (min 55% ) and ME /M Tech/MS (CSE/IT/ECE or relevant areas of Computer Science) with a minimum of 55% marks or grade point average from any accredited Indian or Foreign University

  Program Code : 18535 (to be used in the application form)

  Program Code : 18536 (to be used in the application form)

  Ph.D. (Psychology)

  Program Code : 181181 (to be used in the application form)

  Master’s Degree in Psychology from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Ph.D. (Psychology) - Part Time

  Program Code : 181182 (to be used in the application form)

  Program Code : 18313 (to be used in the application form)

  Program Code : 18314 (to be used in the application form)

  Program Code : 18205 (to be used in the application form)

  Master's Degree in Management/ Commerce/ Finance/ Economics / Law/ Foreign Trade/ Operations Research/ Information Technology/ Transport and Logistics/ Agriculture and Food Business/ Banking and Finance/ Insurance and Financial Planning/ Public Administration/ Sociology/ Psychology/ Tourism/ Hospitality/ Hospital Management/ Chartered Accountants of ICAI/ Cost and Works Accountancy of ICWAI/ Company Secretaryship of ICSI from any accredited Indian or Foreign University with a minimum of 55% marks or grade point average.

  Program Code : 18303 (to be used in the application form)

  Program Code : 18315 (to be used in the application form)

  Program Code : 18316 (to be used in the application form)

  Kolkata Campus

  Program Code : 19304 (to be used in the application form)

  Master's Degree in Psychology/Sociology /Child and Human Development/Forensic Science/Social Anthropology/Education /Social Work/management fron any accredited Indian or Foreign University in the relevant field with minimum of 55% marks or equivalent grade point average.

  Program Code : 19708 (to be used in the application form)

  Program Code : 19709 (to be used in the application form)

  Program Code : 19327 (to be used in the application form)

  Program Code : 19328 (to be used in the application form)

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  • Open access
  • Published: 08 May 2024

  Measurement and analysis of change in research scholars’ knowledge and attitudes toward statistics after PhD coursework

  • Mariyamma Philip 1  

  BMC Medical Education volume  24 , Article number:  512 ( 2024 ) Cite this article

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  Metrics details

  Knowledge of statistics is highly important for research scholars, as they are expected to submit a thesis based on original research as part of a PhD program. As statistics play a major role in the analysis and interpretation of scientific data, intensive training at the beginning of a PhD programme is essential. PhD coursework is mandatory in universities and higher education institutes in India. This study aimed to compare the scores of knowledge in statistics and attitudes towards statistics among the research scholars of an institute of medical higher education in South India at different time points of their PhD (i.e., before, soon after and 2–3 years after the coursework) to determine whether intensive training programs such as PhD coursework can change their knowledge or attitudes toward statistics.

  One hundred and thirty research scholars who had completed PhD coursework in the last three years were invited by e-mail to be part of the study. Knowledge and attitudes toward statistics before and soon after the coursework were already assessed as part of the coursework module. Knowledge and attitudes towards statistics 2–3 years after the coursework were assessed using Google forms. Participation was voluntary, and informed consent was also sought.

  Knowledge and attitude scores improved significantly subsequent to the coursework (i.e., soon after, percentage of change: 77%, 43% respectively). However, there was significant reduction in knowledge and attitude scores 2–3 years after coursework compared to the scores soon after coursework; knowledge and attitude scores have decreased by 10%, 37% respectively.

  The study concluded that the coursework program was beneficial for improving research scholars’ knowledge and attitudes toward statistics. A refresher program 2–3 years after the coursework would greatly benefit the research scholars. Statistics educators must be empathetic to understanding scholars’ anxiety and attitudes toward statistics and its influence on learning outcomes.

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  A PhD degree is a research degree, and research scholars submit a thesis based on original research in their chosen field. Doctor of Philosophy (PhD) degrees are awarded in a wide range of academic disciplines, and the PhD students are usually referred as research scholars. A comprehensive understanding of statistics allows research scholars to add rigour to their research. This approach helps them evaluate the current practices and draw informed conclusions from studies that were undertaken to generate their own hypotheses and to design, analyse and interpret complex clinical decisions. Therefore, intensive training at the beginning of the PhD journey is essential, as intensive training in research methodology and statistics in the early stages of research helps scholars design and plan their studies efficiently.

  The University Grants Commission of India has taken various initiatives to introduce academic reforms to higher education institutions in India and mandated in 2009 that coursework be treated as a prerequisite for PhD preparation and that a minimum of four credits be assigned to one or more courses on research methodology, which could cover areas such as quantitative methods, computer applications, and research ethics. UGC also clearly states that all candidates admitted to PhD programmes shall be required to complete the prescribed coursework during the initial two semesters [ 1 ]. National Institute of Mental Health and Neurosciences (NIMHANS) at Bangalore, a tertiary care hospital and medical higher education institute in South India, that trains students in higher education in clinical fields, also introduced coursework in the PhD program for research scholars from various backgrounds, such as basic, behavioral and neurosciences, as per the UGC mandate. Research scholars undertake coursework programs soon after admission, which consist of several modules that include research methodology and statistical software training, among others.

  Most scholars approach a course in statistics with the prejudice that statistics is uninteresting, demanding, complex or involve much mathematics and, most importantly, it is not relevant to their career goals. They approach statistics with considerable apprehension and negative attitudes, probably because of their inability to grasp the relevance of the application of the methods in their fields of study. This could be resolved by providing sufficient and relevant examples of the application of statistical techniques from various fields of medical research and by providing hands-on experience to learn how these techniques are applied and interpreted on real data. Hence, research methodology and statistical methods and the application of statistical methods using software have been given much importance and are taught as two modules, named Research Methodology and Statistics and Statistical Software Training, at this institute of medical higher education that trains research scholars in fields as diverse as basic, behavioural and neurosciences. Approximately 50% of the coursework curriculum focused on these two modules. Research scholars were thus given an opportunity to understand the theoretical aspects of the research methodology and statistical methods. They were also given hands-on training on statistical software to analyse the data using these methods and to interpret the findings. The coursework program was designed in this specific manner, as this intensive training would enable the research scholars to design their research studies more effectively and analyse their data in a better manner.

  It is important to study attitudes toward statistics because attitudes are known to impact the learning process. Also, most importantly, these scholars are expected to utilize the skills in statistics and research methods to design research projects or guide postgraduate students and research scholars in the near future. Several authors have assessed attitudes toward statistics among various students and examined how attitudes affect academic achievement, how attitudes are correlated with knowledge in statistics and how attitudes change after a training program. There are studies on attitudes toward statistics among graduate [ 2 , 3 , 4 ] and postgraduate [ 5 ] medical students, politics, sociology, ( 6 – 7 ) psychology [ 8 , 9 , 10 ], social work [ 11 ], and management students [ 12 ]. However, there is a dearth of related literature on research scholars, and there are only two studies on the attitudes of research scholars. In their study of doctoral students in education-related fields, Cook & Catanzaro (2022) investigated the factors that contribute to statistics anxiety and attitudes toward statistics and how anxiety, attitudes and plans for future research use are connected among doctoral students [ 13 ]. Another study by Sohrabi et al. (2018) on research scholars assessed the change in knowledge and attitude towards teaching and educational design of basic science PhD students at a Medical University after a two-day workshop on empowerment and familiarity with the teaching and learning principles [ 14 ]. There were no studies that assessed changes in the attitudes or knowledge of research scholars across the PhD training period or after intensive training programmes such as PhD coursework. Even though PhD coursework has been established in institutes of higher education in India for more than a decade, there are no published research on the effectiveness of coursework from Indian universities or institutes of higher education.

  This study aimed to determine the effectiveness of PhD coursework and whether intensive training programs such as PhD coursework can influence the knowledge and attitudes toward statistics of research scholars. Additionally, it would be interesting to know if the acquired knowledge could be retained longer, especially 2–3 years after the coursework, the crucial time of PhD data analysis. Hence, this study compares the scores of knowledge in statistics and attitude toward statistics of the research scholars at different time points of their PhD training, i.e., before, soon after and 2–3 years after the coursework.

  Participants

  This is an observational study of single group with repeated assessments. The institute offers a three-month coursework program consisting of seven modules, the first module is ethics; the fifth is research methodology and statistics; and the last is neurosciences. The study was conducted in January 2020. All research scholars of the institute who had completed PhD coursework in the last three years were considered for this study ( n  = 130). Knowledge and attitudes toward statistics before and soon after the coursework module were assessed as part of the coursework program. They were collected on the first and last day of the program respectively. The author who was also the coordinator of the research methodology and statistics module of the coursework have obtained the necessary permission to use the data for this study. The scholars invited to be part of the study by e-mail. Knowledge and attitude towards statistics 2–3 years after the coursework were assessed online using Google forms. They were also administered a semi structured questionnaire to elicit details about the usefulness of coursework. Participation was voluntary, and consent was also sought online. The confidentiality of the data was assured. Data were not collected from research scholars of Biostatistics or from research scholars who had more than a decade of experience or who had been working in the institute as faculty, assuming that their scores could be higher and could bias the findings. This non funded study was reviewed and approved by the Institute Ethics Committee.

  Instruments

  Knowledge in Statistics was assessed by a questionnaire prepared by the author and was used as part of the coursework evaluation. The survey included 25 questions that assessed the knowledge of statistics on areas such as descriptive statistics, sampling methods, study design, parametric and nonparametric tests and multivariate analyses. Right answers were assigned a score of 1, and wrong answers were assigned a score of 0. Total scores ranged from 0 to 25. Statistics attitudes were assessed by the Survey of Attitudes toward Statistics (SATS) scale. The SATS is a 36-item scale that measures 6 domains of attitudes towards statistics. The possible range of scores for each item is between 1 and 7. The total score was calculated by dividing the summed score by the number of items. Higher scores indicate more positive attitudes. The SAT-36 is a copyrighted scale, and researchers are allowed to use it only with prior permission. ( 15 – 16 ) The author obtained permission for use in the coursework evaluation and this study. A semi structured questionnaire was also used to elicit details about the usefulness of coursework.

  Statistical analysis

  Descriptive statistics such as mean, standard deviation, number and percentages were used to describe the socio-demographic data. General Linear Model Repeated Measures of Analysis of variance was used to compare knowledge and attitude scores across assessments. Categorical data from the semi structured questionnaire are presented as percentages. All the statistical tests were two-tailed, and a p value < 0.05 was set a priori as the threshold for statistical significance. IBM SPSS (28.0) was used to analyse the data.

  One hundred and thirty research scholars who had completed coursework (CW) in the last 2–3 years were considered for the study. These scholars were sent Google forms to assess their knowledge and attitudes 2–3 years after coursework. 81 scholars responded (62%), and 4 scholars did not consent to participate in the study. The data of 77 scholars were merged with the data obtained during the coursework program (before and soon after CW). Socio-demographic characteristics of the scholars are presented in Table  1 .

  The age of the respondents ranged from 23 to 36 years, with an average of 28.7 years (3.01), and the majority of the respondents were females (65%). Years of experience (i.e., after masters) before joining a PhD programme ranged from 0.5 to 9 years, and half of them had less than three years of experience before joining the PhD programme (median-3). More than half of those who responded were research scholars from the behavioural sciences (55%), while approximately 30% were from the basic sciences (29%).

  General Linear Model Repeated Measures of Analysis of variance was used to compare the knowledge and attitude scores of scholars before, soon after and 2–3 after the coursework (will now be referred as “later the CW”), and the results are presented below (Table  2 ; Fig.  1 ).

  

  Comparison of knowledge and attitude scores across the assessments. Later the CW – 2–3 years after the coursework

  The scores for knowledge and attitude differed significantly across time. Scores of knowledge and attitude increased soon after the coursework; the percentage of change was 77% and 43% respectively. However, significant reductions in knowledge and attitude scores were observed 2–3 years after the coursework compared to scores soon after the coursework. The reduction was higher for attitude scores; knowledge and attitude scores have decreased by 10% and 37% respectively. The change in scores across assessments is evident from the graph, and clearly the effect size is higher for attitude than knowledge.

  The scores of knowledge or attitude before the coursework did not significantly differ with respect to gender or age or were not correlated with years of experience. Hence, they were not considered as covariates in the above analysis.

  A semi structured questionnaire with open ended questions was also administered to elicit in-depth information about the usefulness of the coursework programme, in which they were also asked to self- rate their knowledge. The data were mostly categorical or narratives. Research scholars’ self-rated knowledge scores (on a scale of 0–10) also showed similar changes; knowledge improved significantly and was retained even after the training (Fig.  2 ).

  

  Self-rated knowledge scores of research scholars over time. Later the CW – 2–3 years after the coursework

  The response to the question “ How has coursework changed your attitude toward statistics?”, is presented in Fig.  3 . The responses were Yes, positively, Yes - Negatively, No change – still apprehensive, No change – still appreciate, No change – still hate statistics. The majority of the scholars (70%) reported a positive change in their attitude toward statistics. Moreover, none of the scholars reported negative changes. Approximately 9% of the scholars reported that they were still apprehensive about statistics or hate statistics after the coursework.

  

  How has coursework changed your attitude toward statistics?

  Those scholars who reported that they were apprehensive about statistics or hate statistics noted the complexity of the subject, lack of clarity, improper instructions and fear of mathematics as major reasons for their attitude. Some responses are listed below.

  “The statistical concepts were not taught in an understandable manner from the UG level” , “I am weak in mathematical concepts. The equations and formulae in statistics scare me”. “Lack of knowledge about the importance of statistics and fear of mathematical equations”. “The preconceived notion that Statistics is difficult to learn” . “In most of the places, it is not taught properly and conceptual clarity is not focused on, and because of this an avoidance builds up, which might be a reason for the negative attitude”.

  Majority of the scholars (92%) felt that coursework has helped them in their PhD, and they were happy to recommend it for other research scholars (97%). The responses of the scholars to the question “ How was coursework helpful in your PhD journey ?”, are listed below.

  “Course work gave a fair idea on various things related to research as well as statistics” . “Creating the best design while planning methodology, which is learnt form course work, will increase efficiency in completing the thesis, thereby making it faster”. “Course work give better idea of how to proceed in many areas like literature search, referencing, choosing statistical methods, and learning about research procedures”. “Course work gave a good idea of research methodology, biostatistics and ethics. This would help in writing a better protocol and a better thesis”. “It helps us to plan our research well and to formulate, collect and plan for analysis”. “It makes people to plan their statistical analysis well in advance” .

  This study evaluated the effectiveness of the existing coursework programme in an institution of higher medical education, and investigated whether the coursework programme benefits research scholars by improving their knowledge of statistics and attitudes towards statistics. The study concluded that the coursework program was beneficial for improving scholars’ knowledge about statistics and attitudes toward statistics.

  Unlike other studies that have assessed attitudes toward statistics, the study participants in this study were research scholars. Research scholars need extensive training in statistics, as they need to apply statistical tests and use statistical reasoning in their research thesis, and in their profession to design research projects or their future student dissertations. Notably, no studies have assessed the attitudes or knowledge of research scholars in statistics either across the PhD training period or after intensive statistics training programs. However, the findings of this study are consistent with the findings of a study that compared the knowledge and attitudes toward teaching and education design of PhD students after a two-day educational course and instructional design workshop [ 14 ].

  Statistics educators need not only impart knowledge but they should also motivate the learners to appreciate the role of statistics and to continue to learn the quantitative skills that is needed in their professional lives. Therefore, the role of learners’ attitudes toward statistics requires special attention. Since PhD coursework is possibly a major contributor to creating a statistically literate research community, scholars’ attitudes toward statistics need to be considered important and given special attention. Passionate and engaging statistics educators who have adequate experience in illustrating relatable examples could help scholars feel less anxious and build competence and better attitudes toward statistics. Statistics educators should be aware of scholars’ anxiety, fears and attitudes toward statistics and about its influence on learning outcomes and further interest in the subject.

  Strengths and limitations

  Analysis of changes in knowledge and attitudes scores across various time points of PhD training is the major strength of the study. Additionally, this study evaluates the effectiveness of intensive statistical courses for research scholars in terms of changes in knowledge and attitudes. This study has its own limitations: the data were collected through online platforms, and the nonresponse rate was about 38%. Ability in mathematics or prior learning experience in statistics, interest in the subject, statistics anxiety or performance in coursework were not assessed; hence, their influence could not be studied. The reliability and validity of the knowledge questionnaire have not been established at the time of this study. However, author who had prepared the questionnaire had ensured questions from different areas of statistics that were covered during the coursework, it has also been used as part of the coursework evaluation. Despite these limitations, this study highlights the changes in attitudes and knowledge following an intensive training program. Future research could investigate the roles of age, sex, mathematical ability, achievement or performance outcomes and statistics anxiety.

  The study concluded that a rigorous and intensive training program such as PhD coursework was beneficial for improving knowledge about statistics and attitudes toward statistics. However, the significant reduction in attitude and knowledge scores after 2–3 years of coursework indicates that a refresher program might be helpful for research scholars as they approach the analysis stage of their thesis. Statistics educators must develop innovative methods to teach research scholars from nonstatistical backgrounds. They also must be empathetic to understanding scholars’ anxiety, fears and attitudes toward statistics and to understand its influence on learning outcomes and further interest in the subject.

  Data availability

  The data that support the findings of this study are available from the corresponding author upon request.

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  Acknowledgements

  The author would like to thank the participants of the study and peers and experts who examined the content of the questionnaire for their time and effort.

  This research did not receive any grants from funding agencies in the public, commercial, or not-for-profit sectors.

  Author information

  Authors and affiliations.

  Department of Biostatistics, Dr. M.V. Govindaswamy Centre, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560 029, India

  Mariyamma Philip

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  Contributions

  Mariyamma Philip: Conceptualization, Methodology, Validation, Investigation, Writing- Original draft, Reviewing and Editing.

  Corresponding author

  Correspondence to Mariyamma Philip .

  Ethics declarations

  Ethics approval and consent to participate.

  This study used data already collected data (before and soon after coursework). The data pertaining to knowledge and attitude towards statistics 2–3 years after coursework were collected from research scholars through the online survey platform Google forms. The participants were invited to participate in the survey through e-mail. The study was explained in detail, and participation in the study was completely voluntary. Informed consent was obtained online in the form of a statement of consent. The confidentiality of the data was assured, even though identifiable personal information was not collected. This non-funded study was reviewed and approved by NIMHANS Institute Ethics Committee (No. NIMHANS/21st IEC (BS&NS Div.)

  Consent for publication

  Not applicable because there is no personal information or images that could lead to the identification of a study participant.

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  The authors declare no competing interests.

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  Philip, M. Measurement and analysis of change in research scholars’ knowledge and attitudes toward statistics after PhD coursework. BMC Med Educ 24 , 512 (2024). https://doi.org/10.1186/s12909-024-05487-y

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  Received : 27 October 2023

  Accepted : 29 April 2024

  Published : 08 May 2024

  DOI : https://doi.org/10.1186/s12909-024-05487-y

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  PHD position: Linking in silico trials to organoids data and innovative trial design (DC11) - MSCA Joint doctoral network ORGESTRA

  

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  The objectives of this PhD project is to propose patient-centred innovative screening platform trial designs using organoids models and auxiliary data including patient’s disease trajectory and treatments’ temporality. The PhD candidate will develop clinical trial designs using organoid models and auxiliary data for exploratory clinical trials based on patients’ screening, disease trajectory and treatment personalisation. These designs will take into account all information organoid models and auxiliary data using Bayesian evidence synthesis approaches. 

  ORGESTRA is a EU funded Marie Skłodowska-Curie Joint Doctorate Network training 13 PhD candidates to conduct advanced research that addresses critical challenges in the field of organoid technologies for disease modelling, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified young scientists in new scientific and technological knowledge. At the end of your PhD, you will obtain joint/double PhD diplomas from two reputed universities within the ORGESTRA network.  Universite Paris Cite – Paris, France  and  Utrecht University – Utrecht, Netherlands , 

  The network is developing personalized disease models using stem cell-derived organoids for rare diseases, including the lung and kidney diseases, cystic fibrosis and cystinosis. Research will aim to identify pathogenetic mechanisms, druggable targets, and drug mode of action for effective and innovative treatment strategies and to classify the pathway to clinic. We will also address ethical and regulatory issues to foster acceptance and implementation of organoid models and develop a living technologies toolset to enable a swift transfer from bench to bedside.

  Mobility is an essential part of MSCA PhD projects. Secondments are mandatory. 

  Requirements

  Masters in statistics or biostatistics or applied mathematics, At least level C in English, Good communication skills in English, Coding in R or/and Python, knowledge in Bayesian statistics will be appreciated.

  Additional Information

  Marie Sklodowska-Curie PhDs are paid a highly competitive salary according to the Marie-Curie programme regulations composed of Living allowance: (multiplied by a country coefficient) – corresponds to the Monthly Gross salary, a mobility allowance (private mobility related costs) and Family allowance (if applicable).

  The net salary calculation depends on the employment rules and conditions in each country. The total allowances received for DC’s salary are subject to tax and social contributions (employer’s and employee’s).

  The applicant must have a Master’s degree (or any equivalent diploma). Note: A Master’s degree (or equivalent) is not necessary at the time of the application, but will be required at the date of recruitment.

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  The applicant can be of any nationality but at the date of recruitment should not have resided in France where the primary research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work, studies, etc.) in that country. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

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  PhD in Higher Education – Educational Leadership Degree Shaping Organizations for Success

  

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  If you’re interested in pursuing a research-based career or opportunities in academia, Liberty University’s 100% online Doctor of Philosophy (PhD) in Higher Education Administration – Educational Leadership may be a great fit for you. Our higher education PhD online has been designed with your success in mind. Whether you’d like to become a department chair, the dean of a school, provost, or university president, our online doctorate in higher education administration can help you reach your career goals.

  As of October 2020, 61.8% of high school graduates between the ages of 16 and 24 were enrolled at a college or university.* This statistic speaks to the importance of qualified higher education administrators. Millions of young Americans attend college in hopes of earning an education, boosting their earning potential, increasing their employability, and forging lifelong connections.

  As a higher education administrator, you’ll play a crucial role in building and maintaining a university setting that students want to attend. The role of a university administrator isn’t just about negotiating with accrediting partners or providing feedback to department chairs — it’s about ensuring that the future of the world is in good hands.

  *Bureau of Labor Statistics, U.S. Department of Labor, at College Enrollment and Work Activity of Recent High School and College Graduates Summary (viewed online Dec. 2, 2022).

  

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  We recognize that your personal responsibilities don’t stop when you enroll in a degree program, which is why our doctorate in higher education online is offered 100% online in mostly 8-week courses with no required intensives. That way, you won’t have to worry about traveling to campus for classes or spend time away from your job, family, or community.

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  In our PhD in Higher Education Administration – Educational Leadership, you can learn about teaching the college student, college and university administration, historical perspectives of higher education, and the economic impact of higher education. You will also study the specifics of accreditation.

  In the educational leadership specialization, you’ll study issues and trends in technology and learning as well as policy analysis. You’ll also be able to choose between two courses: organizational analysis and problem-solving for educators, or conflict resolution. Our educational leadership cognate is rounded out by an elective course, which allows you to study a topic you’re most passionate about.

  Upon completion of your core courses, you’ll begin to venture into dissertation preparation. The research courses in our online doctor of higher education include advanced educational statistics, quantitative and qualitative methods of research, and a dissertation literature review. You will also study research concepts and methodology as part of your research courses.

  And finally, the dissertation portion of your degree will consist of multiple courses. Through these courses, you will choose a topic, research your topic, and present your findings to our School of Education faculty.

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  **Bureau of Labor Statistics, U.S. Department of Labor, at Postsecondary Education Administrators (viewed online Sept. 29, 2021). Cited projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth.

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  Ill Nigerian PhD student who complained faces losing UK visa

  Home office notification of sue agazie highlights ‘weaponisation of immigration status’ by universities when students complain, say critics.

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  Supporters of a Nigerian PhD student facing potential deportation after her doctoral studies were halted by illness and a breakdown in relations with her supervisor have claimed her plight highlights the precarity of international students who complain about their course.

  Sue Agazie, a copywriter from Lagos, moved to the UK in January 2023 to begin a PhD in marketing at Newcastle University Business School on the understanding, she claimed, that she was likely to receive a full scholarship for her studies or would gain enough part-time academic work to cover her living costs.

  However, funding and paid work did not materialise in the way suggested, said Ms Agazie, who added that she has run up huge debts to finance her PhD.

  Amid a breakdown in relations with her primary supervisor over her money troubles, Ms Agazie was then diagnosed with kidney failure in September 2023.

  With a formal complaint launched against Newcastle and her supervisor over allegedly misleading her over funding, Ms Agazie has now been informed that Newcastle has contacted the Home Office over her absence from supervisions – a move that could see her visa revoked.

  That would mean her husband and young child, who travelled with Ms Agazie to north-east England, would also be forced to leave the country.

  Her case is now being championed by Unis Resist Border Controls, a campaign group that raises awareness of how migrant university staff have  been affected by the UK’s hostile environment policies.  More than 250 people – including many PhD students and scholars – have signed a  petition  urging the Home Office to stop any visa curtailment.

  Its spokeswoman Sanaz Raji, a visiting researcher at Northumbria University , said the notification of the Home Office was an example of the “weaponisation of her immigration status” in a disputes process.

  In a statement, Newcastle said “complaints are investigated following the university’s standard procedures”. “Where a complaint has been made by a postgraduate student about their supervisor, our normal practice would be to investigate the matter and explore arrangements for an alternative supervisor if that becomes necessary,” it continued.

  “We can’t discuss individual cases, but we offer a range of support to postgraduate students including advice on visa issues, hardship funding, and support to have a break in study where there is an illness or other circumstances.”

  Under Home Office rules, higher education institutions must notify authorities if students fail to attend class or discontinue their course, although Ms Agazie said she intends to finish her studies.

  The lack of support for a “critically ill” student  also indicated how “universities instrumentalise migrant students from the Global South as sources of income that they can afterwards dispose of”, said Ms Raji in a reference to the multimillion-pound revenues received by universities from international postgraduates.

  According to official statistics, Nigeria is the UK’s third largest source of international students behind China and India with about  44,000 studying in 2021-22,  mostly at postgraduate level.

  According to Ms Raji, Ms Agazie was led to believe that many PhD students in her situation had found plentiful paid work and obtained scholarships, but these apparent success stories did not stand up once they were investigated.

  With the threat of visa revocation looming, students would, however, be reluctant to complain if things go wrong, said Ms Agazie. “Forcing an international student into immigration problems while a complaint is under way…is basically telling international students not to complain,” she said.

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  From candidate wealth to criminal records, research reveals alarming election statistics

  Informed Voter Project Research has also studied manifestos of seven major parties 

  

  Consider this - Maharashtra chief minister Eknath Shinde's wealth grew at a rate of 669% over the last five years, making it the highest rate of wealth growth amongst candidates across nine Mumbai-area constituencies. 

  This was closely followed by sitting MP Rahul Shewale whose wealth grew at a rate of 619% in the same period. The greatest wealth accumulation declared during the current elections, is by BJP Rajya Sabha MP Piyush Goyal at 110.96 crore, followed by Shiv Sena (ES) candidate and sitting MLA from Jogeshwari (East) Ravindra Waikar at 54.51 crore. 

  While the average growth rate of wealth for the 'ordinary Indian' has been merely 3.5% in the last 5 years, the wealth of candidates belonging to the ruling NDA alliance has grown 150%, that is, 43 times faster than the wealth of the 'ordinary Indian'. This and more such alarming statistics have been put out by MumbaiVotes.com, part of the Informed Voter Project, a non-profit citizen-researcher-driven civil society collective. 

  In a recent press conference, Vivek Gilani, founding trustee of the project, revealed findings from the "exhaustive" research and evaluation conducted over the past three months. 

  During the fifth phase of elections, the 'Informed Voter project' analysed the annual growth rate of wealth of the candidates contesting from nine parliamentary constituencies across Mumbai (Mumbai North, Mumbai North West, Mumbai North East, Mumbai North Central, Mumbai South Central, Mumbai South, Thane, Palghar, and Kalyan). It was found that the average wealth growth of candidates across the Eknath-Shinde faction of Shiv-Sena is the highest amongst all parties contesting in the nine Mumbai-Area constituencies. Not only that but also the difference between the magnitude of average wealth owned by NDA candidates in the Mumbai-Area and the INDIA alliance was observed to be starkly disparate; while the average wealth of an NDA candidate was found to be Rs 32.8 crore that of a INDIA bloc candidate was seen to be Rs 10.9 crore.

  At the same time, criminal records were analysed too and this is what showed up - Of the major political parties, in the list of all candidates with pending criminal charges, Shiv Sena (Uddhav Balasaheb Thackeray) scored the most Red Flags (44) followed by Shive Sena (Eknath Shinde) and Vanchit Bahujan Aghadi (VBA) with 34 RED FLAGS each. In terms of Serious/Violent Criminal Charges (with possible prison terms of 10 years or greater), as declared in their affidavits submitted to the Election Commission of India, VBA topped the list with 20 serious red flags. 

  The Informed Voter Project also analysed manifestos of political parties as the campaigning picks up heat. The manifestos of seven major parties (BJP, INC, CPI(M), NCP (SP), SHS (UBT), and All India Trinamool Congress, and CPI) were studied through a double-blinded process of narrative analysis (text coding) by analysts. The narrative analysis/coding consisted of evaluating each element according to the following parameters: Diagnostic Rigor, Clarity of Scope of the Promise, Clear timeline, Clear budget outlay, Clear implementation plan, and Clear commitment-oriented language. 

  The promises were graded using only the above parameters; not on whether the Analysis Panel felt the solutions being proposed were meritorious and beneficial to society i.e. their own political perspectives on the subject were not a factor in evaluation. Promises that were predicated by diagnostic rigour, defined a clear scope of beneficiaries or stakeholders, included a clear timeline, proposed budgetary expenditure to fulfil the promise, articulated a clear implementation plan and were framed using language demonstrating clear commitment and action (as opposed to merely being notional or conveying of intention) scored ‘higher’ than others. 

  'When it came to agriculture and farmer welfare, it was the promises laid down by the Trinamool Congress that came up trumps. This manifesto had clear references to the shortcomings of the current government (“agriculture’s share in the union budget almost being halved from 4.4% to 2.5% over the past 4 years”) as well as specific solutions to some prevalent issues in this sector,' as per the release. The manifesto of the Shiv Sena (Uddhav Bal Thackeray) scored low on all 6 hierarchical counts from diagnostic rigour to clear timelines when it came to farmer issues.

  It was also found that the BJP manifesto scored poorly in the area of law and justice, being rated consistently low across major counts, while the INC fared better, securing the second-highest score after Trinamool. The INC manifesto has dedicated sections explaining the legal entitlements and protections owed to various citizen groups that they recognise as SC/ST and OBCs, religious and linguistic minorities, persons with disabilities and LGBTQIA+. 

  It also emphasizes the need to ensure press freedom through the Press Council of India Act, and supports the withdrawal of acts tilted towards government censorship such as the Broadcasting Services (Regulation) Bill, 2023 and Digital Personal Data Protection Act, 2023. While freedom of expression is also mentioned clearly by NCP, there are no specific instances provided, which reduced its scope, and diagnostic rigour, said the report by the Informed Voter Project.  

  As per IVP (Informed Voter Project), in the area of gender issues, especially those related to women, NCP (Sharad Pawar faction) scored high, coming in third after Trinamool and CPI(M) manifestos by “endeavouring” to achieve 50% reservations for women in government jobs and fast-tracking women’s reservations in Parliament. This is echoed by the INC manifesto as well, which additionally promises 33% reservations for women in Lok Sabha elections like Trinamool and CPI(M).

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