phd in data science iit delhi

IITD alumnus Anant Yardi donates US$ 10 Milllion to ScAI

Greetings, Traveler!

Wipro launches center of excellence with ScAI

Wipro and iit delhi partnership.

The Wipro CoE on Generative AI is anchored within  ScAI at IIT Delhi.  The CoE will address at-scale real-world problems and build innovative solutions using AI/ML. 

Rajiv Khemani Becomes a Principal Founder for ScAI

Mr. Rajiv Khemani has generously donated half a million USD to Yardi ScAI.

Partnership with University at Buffalo

University at Buffalo has launched joint partnership on AI with Yardi ScAI.

Ananth Krishnan Becomes a Pioneer Founding Donor for SCAI

Mr. Ananth Krishnan, CTO of TCS, donated Rs 2 Crores to the Yardi School of Artificial Intelligence by establishing a new Chair and a new fellowship.

ScAI Won Award at KDD

Prof. Sayan Ranu received KDD Audience Appreciation Award

M.Tech in MINDS

M.tech in machine intelligence & data science (minds).

Yardi School of Artificial Intelligence (Yardi ScAI) at IIT Delhi has been established in September 2020 to strengthen education and research in artificial intelligence (AI), machine learning (ML), data science (DS) and their broad applications such as in healthcare, materials science, robotics, industry 4.0, weather prediction, and transportation.

The focus on applications makes the school multidisciplinary – it currently has support from 40+ faculty members working in several departments. These include departments that typically hire core AI, ML and DS researchers such as computer science, electrical engineering, and mathematics. It also includes researchers specializing in the use of AI for various domains, for example, from biomedical engineering, atmospheric sciences, management sciences, and civil engineering.

News See all News

ScAI Admission Update Summer 2024

Mausam elected as AAAI fellow.

IIT Delhi and ITC Limited join hands in fight against air pollution

Arpan Kar receives Career 360 Most Outstanding Researcher

Wipro launches center of excellence within the Yardi School of Artificial Intelligence

Glass discovery and design: 21 challenges in artificial intelligence and machine learning for glass science

Prof. Abhijnan Chakraborty received Indian National Academy of Engineering (INAE) Young Engineer Award 2022

Prof. Souvik Chakraborty received Indian National Academy of Engineering (INAE) Young Engineer Award

Prof. N.M. Anoop Krishnan received Indian Academy Sciences Young Associate, 2022

Prof. N.M. Anoop Krishnan received W. A. Weyl International Glass Science Award 2022

Prof. Manan Suri received Indian National Academy of Engineering (INAE) Young Engineer Award 2021

IIT Delhi alumnus gifts $10 million to alma mater

Prof. N.M. Anoop Krishnan received The National Academy of Sciences (NASI) Young Scientist Platinum Jubilee Award 2021

Prof. Arpan K. Kar has been selected as one of the recipients of the Clarivate India Research Excellence

IIT Delhi, AIIMS New Delhi and Addverb Co-develop Telerobotic Ultrasound System During COVID Times

ScAI's six month review interview is here

A neuron model for efficient AI systems

Professor Mausam interviewed for recent progress in NLP

ScAI mentioned in new centers that foster research in AI

Professor Hariprasad Kodamana launches online certificate course on Data Science

Prof. N.M. Anoop Krishnan received Indian National Academy of Engineering Young Engineer Award, 2020

KnowDis and ScAI co-organize the KnowDis Machine Learning Day

IIT Delhi and NPTEL run free online course on Artificial Intelligence

Prof. N.M. Anoop Krishnan received Gandhian Young Technological Innovation Award 2020

Prof. Jaydeva has been chosen as Fellow of the INAE, 2020.

Professor Mausam discussing AI and roadmap for a Doordarshan panel

Prof. Manan Suri received IASc Young Associate, 2020

Mr. Arun Duggal becomes the first co-founder of School of AI

Detailed interview on the importance of School of AI in Hindi

IIT Delhi establishes School of AI

Prof. sayan ranu received iasc young scientist award, talk by dr. vinayak abrol.

• 30 April,2024
• 11:00 am - 11:55 am

Talk by Dr. Arambam James Singh

• 23 April,2024
• 11:00 am - 12:00 pm

Talk by Aryan Deshwal

• 16 April,2024

Talk by Dr. Aparajita Khan

• 15 April,2024

Programme@ScAI

Ms(r) in ai, mtech in machine intelligence & data science (minds), ph.d. in core & applied ai.

Research & Innovation See all Research

Graph of Circuits

AI-GENESIS: Advancing Intelligence for Graph-Based Exploration of Novel Electronic SystemsNavigating vast design spaces, intricate performance tradeoffs, resource-intensive simulations, and rapid technological evolution presents substantial hurdles. Our novel Graph-based Semi-Supervised Optimization Framework offers a comprehensive solution to this complex issue. By breaking down the problem into distinct key stages, we achieve both alignment with the actual process and remarkable computational efficiency, without compromising effectiveness.

Gravimeter data

Gravimeter data involves measuring changes in the strength of the gravitational field across different locations on Earth. A gravitational anomaly indicates deviations from the expected field strength, uncovering variations in the distribution of mass beneath the surface. By leveraging these anomalies, we provide solutions that utilize graph-based machine learning methods to analyze Earth's subsurface characteristics. This approach offers valuable insights into density anomalies, contributing to a range of fields including geophysics, geology, and environmental monitoring.

Plastic Hotspots Identification from Satellite Images

Plastic pollution of water bodies, such as oceans and rivers, is a global environmental problem. The SPIHSI project leverages AI to identify and track plastic pollution hotspots in water bodies from available satellite imagery.

Spatio-temporal Forecasting on Road Networks

Modeling Spatio-Temporal processes on road networks is a task of paramount significance. ScAI researchers designed Frugal Spatio-temporal Forecasting on Road Networks (FRIGATE). FRIGATE is powered by a spatio-temporal graph neural network (GNN) that integrates positional, topological, and temporal information click here: https://arxiv.org/abs/2306.08277

ScAI at a glance

10+ million dollars, 15+ million dollars, 50+ faculty members, among top in india, industry collaboration.

Yardi ScAI strongly encourages applicants with demonstrated track-record of working at the intersection of an application area and the AI fields. If you are interested in applying to Yardi ScAI but have specific questions about life at IITD, work-life balance in India, opportunities for growth/success at Yardi ScAI, please feel free to reach out the head of ScAI at [email protected]

Alumni / Well Wisher

Admission - Doctoral Programme (PhD)

The Department of Management Studies has a full-fledged PhD programme in Management. With its liberal multidisciplinary approach, the department provides excellent ambience for research amidst the world class infrastructure at IIT Delhi. The research areas are broadly classified into the following areas: Economics; Finance & Accounting; Information Technology & Systems; Marketing; Operations, and Supply Chain Management; and Strategy, and Technology Management.

Specific research and teaching interests of the department include:

You may like to visit the web pages of the faculty members to learn more about the ongoing research. Please click this http://dms.iitd.ac.in/all-faculty-members/

Foreign Nationals:

Foreign nationals, click here for more details. Please feel free to contact for further details: Mr. Alan V Sinate Deputy Registrar (Academics) Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email: [email protected]

Admission: Normally, Ph.D. programmes are advertised in the month of March and October each year, and admissions are carried out in the months of May and December. Further, admission to the Ph.D programme is possible any time of the year with the application being processed and candidates interviewed by the respective DRC/CRC/SRC. Ph.D. scholars can join the Institute at any time of the year, though the course registration will be possible only at the beginning of the subsequent semester. Such candidates must also fulfill the required academic qualification/ experience at the time of interview. They must join the Institute within 4 weeks after the issue of admission offer unless specifically permitted otherwise. Admission is subject to the vacancy being available in the relevant specializations.

Eligibility Criteria: Applicants are requested to check the eligibility criteria published in the latest Information Brochure given in the IIT Delhi website. IIT Delhi Home page – Admission – PG Admission.As per the IIT Delhi norms, the applicants are expected to fulfill the following eligibility criteria:

Note:  This information is extracted from the Information Brochure Ist Semester 2020-2021. Please see the respective brochure for each admission cycle. The department research committee is the authority that takes decisions regarding finalization of shortlisting and evaluation criteria for each admission cycle.

Part-time candidates:  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. 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 off.

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 letterhead from the appropriate authority in the organization clearly stating the following: For the period of his/her studies in the programme, the candidate would be treated as on duty with usual salary and allowances, and That he/she will be fully relieved and granted study leave for a minimum period of 3 years ( 2years for M.Tech. and equivalent degree holders). You are required to submit a “No Objection Certificate” on a proper letterhead from the appropriate authority in the organization clearly stating the following: The candidate is permitted to pursue studies on a part-time basis; 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; and he/she will be fully relieved from duty and permitted to reside at the Institute for the period required residency (This is not a requirement for candidates who are working in NCR or in organizations located within a distance of 50 KMs from the Institute).

Short listing Criteria: After receipt of the applications, the department shall apply additional criteria, also called as short listing criteria to select candidates to be called for a written test and personal interview at the department. These criteria are likely to change in every cycle and shall be published in the department website. The short listing criteria shall be published in the department website, at least two weeks before the interview date. Please see the shortlisting criteria used in cycle, July 2021, below.

General & OBC Categories:

• For all candidates (Full Time and Part Time PhD): 1st division (minimum 60% marks) or equivalent grade score (GPA) on a 10 point scale, in master’s degree/ CA/CS/ICWA .
• For candidates having only B.Tech/B.E. degree: 75% marks or equivalent grade score (GPA) on a 10 point scale
• For Part-Time and Full-Time sponsored candidates: A mandatory minimum experience of 5 years as on date of registration.
• For Full Time PhD with assistantship: A GATE score >= 300 or Fellowship from any one of the following national exams: UGC (Lectureship or Research Fellowship), CSIR, ICAR, ICMR, DST and INSPIRE. This is not required for those having: i) M.Tech / ME /MBBS or equivalent degrees, or ii) M.A./ M.Sc. from IITs graduating with a CGPA of 8.0 or above, or iii) B.E./B. Tech./Integrated M.Sc. from IITs/CFTIs graduating with a CGPA of 8.0 or above, or iv) MBA degree from IITs or IISc where admission was through JMET.
• Requirement of qualification in GATE / National Exam is waived for the following categories of applicants: i) Currently registered students in Centrally Funded Technical Institutes (CFTIs) pursuing B. Tech./B.E./ Integrated M. Tech/ Integrated M. Sc. programmes, who have completed 6 semesters or more, and have CGPA of 8.000 or above (on a 10 point scale). Such students must obtain a CGPA of 8.000 or above at the time of graduation, and before they formally register for the Ph.D. programme (80% aggregate marks, if marks is the primary mode of evaluation) ii) Graduates of CFTIs (in the programmes marked under (i)) with a final graduation CGPA of more than 8.000 (80% aggregate marks, if marks is the primary mode of evaluation) iii) M.A or M.Sc. graduates from IITs with CGPA 8.000 or above

SC/ST/PH Categories:

• For all candidates (Full Time and Part Time PhD): 55% marks or equivalent grade score (GPA) on a 10 point scale, in master’s degree/ CA/CS/ICWA.
• For candidates having only B.Tech/B.E. degree: 70% marks or equivalent grade score (GPA) on a 10 point scale
• For Full Time PhD with assistantship: A GATE score >= 200 or Fellowship from any one of the following national exams: UGC (Lectureship or Research Fellowship), CSIR, ICAR, ICMR, DST, and INSPIRE. This is not required for those having: i) M.Tech / ME /MBBS or equivalent degrees, or ii) M.A./ M.Sc. from IITs graduating with a CGPA of 8.0 or above or iii) B.E./B. Tech./Integrated M.Sc. from IITs/CFTIs graduating with a CGPA of 8.0 or above, or iv) MBA degree from IITs or IISc where admission was through JMET.
• Requirement of qualification in GATE / National Exam is waived for the following categories of applicants: i) Currently registered students in Centrally Funded Technical Institutes (CFTIs) pursuing B. Tech./B.E./ Integrated M. Tech/ Integrated M. Sc. programmes, who have completed 6 semesters or more, and have CGPA of 8.000 or above (on a 10 point scale). Such students must obtain a CGPA of 8.000 or above at the time of graduation, and before they formally register for the Ph.D. programme (80% aggregate marks, if marks is the primary mode of evaluation) ii) Graduates of CFTIs (in the programmes marked under (i)) with a final graduation CGPA of more than 8.000 (80% aggregate marks, if marks is the primary mode of evaluation) iii) M.A or M.Sc. graduates from IITs with CGPA 8.000 or above.

Written test & Personal Interview: The written test and personal interview will be conducted on the same day. Candidates who are shortlisted for the written test and interview process will have to appear for both. Both the written test and interview will examine the candidates’ communication skills – oral & written, academic disposition, aptitude for management research, and research co-curricular activities. The written test will attempt to assess the subject knowledge in the respective areas of specialization in management and written communication skills of the candidates. The candidates must prepare accordingly. The written test shall be of sixty minutes duration and will contain descriptive-type questions. Note: Please do not ask for the previous year’s test papers as they could be completely different in every cycle.

Results: The list of provisionally selected candidates shall be displayed in the department notice and will be uploaded in the department website.

Programme Structure:  The doctoral programme broadly consists of the following stages:

• Completion of Coursework Requirement – You are expected to complete certain number of credits / advanced level courses (Students with MTech / MBA / MPhil / Equivalent – 9 Credits; Students with B. Tech / Other Master’s Degree – 18 credits) related to your area of research. A course of one credit means fourteen hours of classes, with one hour per week. Normally courses are of three credits. Your thesis supervisor shall advise the same.
• Comprehensive Written & Oral Exam – After completion of course work, you will need to clear comprehensive written & oral exam to undertake independent research.
• Presentation of Research Proposal – Presentation shall be done in front of a committee and the institute.
• Research work – Undertaking of research work as proposed.
• Presentation &Submission of Synopsis -Post research work, you will present the findings / contributions in front of a committee and the institute.
• Final Submission of the thesis – Submission of hardcopy of the thesis for internal and external evaluation.
• Thesis Defense – Open defense of thesis in front of the external examiner and the institute.
• The presentation of research proposal should be completed within 18 months and 24 months from the date of registration for full-time and part-time doctoral students respectively.
• The student is allowed to submit his/her thesis when two articles are published in peer-reviewed journals (or accepted for publication in journal). The student is required to do original work and contribute to the body of knowledge in his/her respective area. The thesis submitted will be evaluated by two examiners (one within India and other outside India). Favorable comments and approvals from the examiners are mandatory for the students to defend his/her thesis publicly.

Programme Duration: The duration of the programme is 4 years with an option of finishing in 3 years. The maximum duration of the programme is 7 years.

Financial Aid: A scheme for the award of Teaching/Research Assistantship for providing financial assistance to the students exists. In terms of this scheme, those non-sponsored students who are admitted on full-time basis are considered for the award of Half Time Teaching/Research Assistantship. These rates have been significantly enhanced by the MHRD recently and are as indicated below:

Classes: The classes shall be held as per the schedules announced by the department. The classes are held only in weekdays, Mon-Fri. and are conducted during the day and in the evening. There is no concession / exemption of part -time students from attending the classes. You may need to attend the classes during the day. If a course is of one credit, then you will have fourteen weeks of classes, with one hour class / week. The fourteen weeks shall be spread across the semester. The time table in terms of classes and exams are uniform for the MBA, PhD and UG programmes.

Fee: Please refer the Information Brochure for details on the fees.

Other details: Information Brochure: IIT Delhi Home page – Admission – PG Admission ( click here )

Administration / Hostel during interview / Online application related problems:

Mr. Alok Malik Department of Management Studies Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-011-26596782 (O) Email: [email protected] , [email protected]

Mr. Alan V Sinate Deputy Registrar (Academics) Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, INDIA Tel:+91-11-2659 1737 (O) Email:drpgsr[at]admin.iitd.ac.in Email: [email protected] ( Click Here )

IIT DMS Programs

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Doctoral Programme (PhD)

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Executive Management Programme for Supply Chain Leaders

Last date for executive mba admission for batch 2024-2026 is 31st may 2024., list of shortlisted candidates (national & international) for written and personal interview, phd admission semester i, 2024-25, the provisional result of mba and mba (telecom) programme 2024-2026.

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Research updates.

CSE/SIT, IITD

News & Announcements

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2024) Click here. (NEW)

List of Selected Candidates for the PG program December 2023 Click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (Dec 2023). Click here.

PhD/MSR Counselling session to be organized on March 18, 2023 from 11 AM to 12:30 PM. For more details click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (Dec 2022). Click here.

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2022). Click here.

Presentation from MSR orientation. Click here (PDF).

PPT presentation of PhD orientation. Click here.

PhD Symposium to be Organized on Dec 4/Dec 5, 2019. For details, check here.

PhD Symposium to be Organized on Dec 3/Dec 4, 2018. For details, check here.

• IITD Website
• Prospective Students

Ph.D. Programme in Atmospheric Sciences The Ph.D. programme in Atmospheric Sciences is for highly motivated students interested in a research career. Check here for details: Course of study: CAS, IIT Delhi

Key Research Areas:

Check here for details : Ongoing Research at CAS

Atmosphere Numerical Modeling of the Atmosphere, General Circulation, Tropical Meteorology and Indian Monsoon, Land-Surface Process Modeling, Land-Atmosphere Interaction. Associated Faculty: Prof. Somnath Baidya Roy, Prof. Sarvesh Kumar Dubey, Prof. Dilip Ganguly, Prof. Saroj Kanta Mishra, Prof. Manju Mohan, Prof. Sandeep Sukumaran, Prof. Krishna AchutaRao

Ocean Ocean Modelling, Coastal Processes, Ocean State Simulations and Forecasting, Storm Surges and Inundation. Associated Faculty: Prof. A. D. Rao, Prof. Vimlesh Pant, Prof. Samiran Mandal, Prof. Krishna AchutaRao

Climate Climate Dynamics, Climate Variability and Changes, Climate Change, Detection & Attribution, Global and Regional Climate Modeling, Climate Projections, Climate Change Impacts. Associated Faculty: Prof Krishna AchutaRao, Prof. Saroj Kanta Mishra, Prof Sandeep Sukumaran, Prof. Sarvesh Kumar Dubey, Prof Yama Dixit

Aerosols and Air Pollution Urban Meteorology, Air Pollution and Health, Aerosol-Climate Interactions, Heat Island Effect and Fog Prediction, Air Quality Studies. Associated Faculty: Prof. Manju Mohan, Prof. Sagnik Dey, Prof. Dilip Ganguly, Prof. Ravi Kumar Kunchala, Prof. Sajeev Philip

Applied Mathematics Numerical Methods, Data Assimilation and Adjoint Modeling, Inverse Modeling, GPU Computing. Associated Faculty: Prof. Maithili Sharan, Prof. A D. Rao, Prof. Krishna AchutaRao, Prof. Somnath Baidya Roy, Prof. Saroj Kanta Mishra, Prof. Sandeep Sukumaran and Prof. Sarvesh Kumar Dubey

Renewable Energy Renewable Energy Meteorology, Resource Assessment, Forecasting Associated Faculty: Prof. Somnath Baidya Roy, Prof. Sagnik Dey, Prof. Dilip Ganguly

Admissions to the Ph.D. programme

• The admissions to the Ph.D. programme are typically made twice a year – in May/June and November/December. The institute advertises Ph.D. admissions usually in March and October.
• The applications for Ph.D. admissions are to be submitted through the online admission portal.
• The Ph.D. admissions are based on the candidate's performance in an interview conducted by the Centre Research Committee.
• The Centre sets eligibility criteria at a higher level than the institute minimum criteria, which are revised from time to time by the Centre Research Committee. The eligibility for our Ph.D. programme in the last round of admissions is given below:

• Part-time/sponsored full-time admission to the Ph.D. programme is available for professionals working in atmospheric and oceanic sciences with at least one year of relevant work experience.
• The criteria for part-time/sponsored full-time admission are the same as those for the full-time Ph.D. programme, as mentioned above, except that the requirement of the national level qualifying exam is waived off.
• All part-time students working in organizations outside the 50 km radius of IIT Delhi will have to secure leave from their organizations to complete the coursework.
• The typical duration of the coursework is one year.
• The application for admission to the part-time/sponsored full-time Ph.D. should also be made through the online portal, as in the case of a full-time Ph.D.

Check here for details: IIT Delhi Curriculum Information

Centre for Atmospheric Sciences, Block VI, Indian Institute of Technology Delhi Hauz Khas, New Delhi-110 016, India

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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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A Comprehensive Guide on RTMP Streaming

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 . 

Read More: Made In Bengaluru: A Kannada Film To Be Released In The Metaverse

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
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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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Certificate Programme in Data Science & Machine Learning

Discover Untapped Potential of Your Business with DS and ML

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By clicking the button below, you agree to receive communications via Email/Call/WhatsApp/SMS from IIT Delhi & Emeritus about this programme and other relevant programmes. Privacy Policy

Application Deadline: May 30, 2024

Programme overview.

The Indian Institute of Technology Delhi (IIT Delhi) presents a comprehensive six-month online Certificate Programme in Data Science & Machine Learning. This industry-oriented program equips you with the expertise to transform data into actionable insights and build powerful predictive models. Master the sought-after skills in data manipulation, analysis, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualisation. Whether you're a working professional seeking to upskill, a graduate aiming to stand out, or an individual passionate about data analysis, this programme is designed for you. The Indian analytics industry is predicted to escalate to USD 98 billion in 2025 and nearly USD 119 billion in 2026. Currently, the demand for data scientists is at an all-time high in India. Analysts have predicted around 11 million job openings in data science by 2026 in India alone. According to Analytics Insights, India will capture 32% of the big data market worldwide and generate USD 20 billion by 2026.

Programme Highlights

Learn from the faculty of IIT Delhi, one of India's Leading Engineering School

Experience high-impact live-learning and appreciate real-world case studies

Gain structured industry-oriented insights and work on real-world data-sets

Participate in peer-to-peer learning and expand your professional network

Receive an industry-recognised Certificate from IIT Delhi

The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings may or may not be made available, at the discretion of faculty members. Emeritus or the institute does not guarantee availability of any session recordings.

The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the program's desired outcomes.

Who is this Programme for?

This programme is best suited for:

Early and mid-level Professionals interested in gaining a relevant and cutting-edge perspective on data science and ML for better career prospects

Professionals who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach and those looking to apply data science and ML to enhance their business growth

Programme Modules

Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. Case studies, real world examples and numerical illustrations are an integral part of multiple modules included in the course.

Emeritus or the institute does not guarantee availability of any session recordings.

The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings will be made available, at the discretion of faculty member.

Self Learning Projects

Hands On learning

Capstone Project: A capstone project in Data Science and Machine Learning serves as the culmination of theoretical knowledge and practical skills acquired throughout the program. It typically involves solving a problem using data-driven techniques and advanced algorithms. Students engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. The project offers an opportunity to demonstrate proficiency in programming languages like Python, statistical analysis, machine learning algorithms, and data visualization techniques. This activity is carried out in groups and students pick one of the three four contexts given to them.

Tools Covered

Note: All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

Programme Coordinators

Associate Professor, Department of Chemical Engineering, Joint Faculty, School of AI, Indian Institute of Technology Delhi

Dr Hariprasad Kodamana is a PhD from IIT Bombay, where he received the Institute Award for Excellence in PhD thesis. His research interests include machine learning, optimisat...

Assistant Professor, Department of Management Studies, Associate Faculty, School of AI, Indian Institute of Technology Delhi

Dr Agam Gupta is a fellow of the Indian Institute of Management Calcutta (IIM Calcutta). His research areas include platform ecosystems, digital marketing, computational socia...

Professor, Department of Chemical Engineering, Associate Faculty, School of AI, Indian Institute of Technology Delhi

Dr Manojkumar Ramteke is a PhD from the Department of Chemical Engineering, IIT Kanpur. He has also worked as a scientist at the Institute of Chemical and Engineering Sciences...

Programme Coordinators might change due to unavoidable circumstances, and revised details will be provided closer to the programme start date.

Programme Certificate

Participants will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% marks on aggregate in any two out of three quizzes, need to satisfactorily complete a group project, and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% marks in the evaluation components, but have a minimum attendance of 90% shall be awarded a participation certificate.

All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIT Delhi.

Only e-certificate will be issued by CEP IIT Delhi.

The organising department for this programme is the Department of Management Studies.

We encourage you to attend all the live sessions and make the best out of these interactive learning experiences. Post-session video recordings will be made available, at the discretion of faculty member.

Learning Outcomes

Build predictive models using neural networks and time series data forecasting models

Gain hands-on experience in machine learning algorithms, the statistical models behind them and the applications of ML

Develop an in-depth understanding of popular methods like regression, clustering, decision trees and deep learning

Learn optimisation formulations to minimise errors and build accurate models

The primary mode of learning for this programme is via live online sessions with faculty members.

Post session video recordings may or may not be made available, at the discretion of faculty members. - Emeritus or the institute does not guarantee availability of any session recordings.

Participant Testimonials

Past Participant Profiles

Work experience.

Top Industries

IT Services

Manufacturing

*Others include Bioinformatics, Education, Healthcare, Infrastructure, Renewable Energy, and Travel, amongst others.

Top Functions

Engineering

Technology Management

*Others include Education, Engineering, Finance, IT Services, and Operations amongst others.

Emeritus Career Services

15 Recorded sessions and resources in the following categories:

Resume and Cover Letter

Navigating Job Search

Interview Preparation

LinkedIn Profile Optimisation

Job Placement Assistance

Job openings are sourced by the CS Team and the virtual hiring drives are conducted for the applicants.

Dedicated online portal for all candidates where they can apply for jobs & track past applications.

Weekly job postings.

Please note:

IIT Delhi or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. IIT Delhi is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

This service is available only for Indian residents enrolled into select Emeritus programmes.

Opportunities for those with more than 5 years of experience may be more challenging due to the emphasis on transitioning to leadership positions within their current firms.

Last Date to Apply : May 2, 2024

Last date to submit the fee: may 8 , 2024, early registrations are encouraged. seats fill up quickly.

Flexible payment options available. View payment plans

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Ph.d theses:.

The Theses Section is housed in the same area in which the Text Book & Book Section is located at the Ground Floor. Central Library receives copies of all the Ph.D. theses awarded at IIT Delhi and they are housed in this section. There are about 7,500 Ph.D. theses currently available in the section. The theses on the stacks have been arranged according to the year of submission and you need to note the details from the WebOPAC for locating the theses. The copies of the Ph.D. theses are also available in the respective departments.

The Database of the Ph.D. theses is accessible through the WebOPAC by Title, Author, Supervisor, Department, Year, etc. and also through another interface specially prepared for searching the theses at: http://eprint.iitd.ac.in/ . ePrints@IITD (Institutional Repository) makes available the abstracts of the theses on-line (title to content pages) from anywhere in the world.

Full-text of the theses are made available at Shodhganga@INFLIBNET Centre: https://shodhganga.inflibnet.ac.in/handle/10603/421373

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Data Science and Artificial Intelligence

Prof. durga toshniwal.

Welcome to the MFSDSAI! The school is involved in several teaching and research activities all round the year. We encourage motivated students and faculty members to join our school.

Events & Announcements

• List of applicants shortlisted for PhD interviews (Autumn 2024-25 admission)
• Important Announcement
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• MFS Symponsium Schedule
• Schedule for for Ph.D. interview (2021-22 Spring Session)
• Schedule for End Term Examination (Autumn Semester 2021-22)
• Shortlisted candidates for Ph.D. interview (2021-22 Spring Session)
• Workshop on Econometric Methods for Economic and Business Research
• Prospectus of newly launched BS-MS (Economics) Programme
• Approved Program Structure of BS-MS (Economics) Programme
• Ph.D Admission for 2021-22 Spring Session - Guidelines

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The School is broadly organized into following discipline areas, and encourages inter-disciplinary studies.

Data Science

Data Science is the union of tools drawn from Mathematics, Statistic and Computer Science to process this Data by extracting meaningful insights from large and complex sets of data. Data Science is a blend of various tools, algorithms, and principles, with strong mathematical and statistical basis, with the goal to visualize, discover, explain and predict hidden patterns from the raw data in an intelligent manner.

Artificial Intelligence

Artificial intelligence systems demonstrate the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.

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Explain to you how all this mistaken idea of denouncing pleasure and praising pain was born and we will give you a complete account of the system.

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Admissions Necessary forms, during admissions and other general purposes, will either be sent by email or be made available on the department/institute homepage (check for updates). Forms for any specific purposes can be collected from the department office .

M.Sc. Economics Semester 3 Seminar Paper Form , Guide Master Project Form , Guide

Internships IIT Roorkee offers SPARK fellowships ↗ for summer internships to students from IIT Roorkee and other universities and institutes.

Scholarships The website of the Senate Committee for Scholarships and Prizes ↗ contains information on awards, scholarships, and fee waivers by IIT Roorkee.

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IIT Delhi’s Certificate Programme in Data Science & Machine Learning: Learn new skills and fast track your career

Studying data science can help sift through vast amounts of data to get analytical insights while machine learning can help you learn patterns from data freely..

Data Science and Machine Learning have revolutionized industries, fuelling innovation, automation and informed decision-making. While the former leverages data to uncover insights and solve complex problems, the latter empowers systems to learn from data and make decisions autonomously. According to Statista 2024: “The Data Science and Machine Learning market size is expected to show an annual growth rate (CAGR 2024-2030) of 17.15%, resulting in a market volume of US$528.10bn by 2030.”

The IBEF’s 2023 report says: “In FY23, the public funding for the digital India mission increased by 67% to reach US$1.29 billion (Rs. 10,676 crore). This mission involves a plan for the effective utilization of Data Science and AI to promote financial inclusion, supplement the education sector, and transform the urban infrastructure.”

Indian Institute of Technology Delhi (IIT Delhi)’s Certificate Programme in Data Science & Machine Learning is a comprehensive six-month online course. This industry specific IIT Delhi programme gives you the knowledge to transform data into actionable statistics and build powerful strategies. Gain desired skills in data processing, analytics, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualization. This programme is designed for you – whether you are a working professional who wants to improve your skills, a graduate who wants to stand out from the crowd, or you are a passionate data analyst.

Programme Highlights

• Learn from the faculty of IIT Delhi, one of India's leading engineering schools.
• The learning process will include a combination of live-learning and real-world case studies for better understanding and assimilation.
• Equip yourself with structured industry-oriented insights and work on real-world data sets.
• Be part of peer-to-peer learning and expand your professional network.
• Receive an industry-recognised Certificate from CEP, IIT Delhi.

Key Takeaways

Students will work on a Capstone Project in Data Science and Machine Learning. This will mark a culmination of theoretical knowledge and practical skills gained during IIT’s data science programme. It involves solving a problem using data-driven techniques and advanced algorithms. Students will engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. This Capstone project trains students to engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. With this project, your proficiency in programming languages like Python, statistical analysis, machine learning algorithms, and data visualization techniques will come into focus. Students will be part of groups in this project.

Students will also be trained in tools such as Tableau and Python.

Who This Programme Is Meant For?

• Early and mid-career professionals seeking to stand out in Data Science and Machine Learning to propel their careers forward with precision.
• High-potential professionals keen on insights and with a passion for harnessing data science and machine learning to steer strategic decisions and ignite business expansion.

Industries That Take Data Scientists and Machine Learning Experts

• IT Services (27%)
• Consulting (4%)
• Manufacturing (0.4%)
• Financial Services (1%)
• Others (49%)

Programme Details

3 hours/week Saturday 12:15 PM - 3:15 PM

Programme Fee

(GST will be charged at checkout)

Eligibility

Limited seats, enrol now.

Disclaimer: This article has been produced on behalf of IIT Delhi by HT Media team.

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Top Universities For Data Science In India

Indian institute of technology (iit), madras, the indian institute of technology (iit) madras's wide curriculum in data science equips students with the fundamental knowledge., indian institute of technology (iit), delhi, it is carefully crafted to provide students with a solid grasp of key ideas in data analytics, statistical modelling, and machine learning., indian institute of technology (iit), bombay, a thorough program in data science is offered by iit bombay, with a focus on statistical analysis, machine learning, and data visualisation., international institute of information technology (iiit), a demanding program in data science is provided at iiit hyderabad, with a focus on big data analytics, and natural language processing., delhi technological university (dtu), delhi, deep learning, machine learning, and core principles are all covered in the data science and artificial intelligence program offered by dtu., malaviya national institute of technology (mnit), mnit provides courses covering a broad spectrum of issues in the discipline, such as statistical modelling, data mining, and data analysis., indian institute of technology (iit), jammu, renowned for having excellent research facilities, iit jammu is also home to several eminent ph.d. researchers. this institute created its own syllabus., strict or friendly teacher check out who children learn better from.

IIT Delhi’s Certificate Programme in Data Science & Machine Learning: Learn new skills and fast track your career

D ata Science and Machine Learning have revolutionized industries, fuelling innovation, automation and informed decision-making. While the former leverages data to uncover insights and solve complex problems, the latter empowers systems to learn from data and make decisions autonomously. According to Statista 2024: “The Data Science and Machine Learning market size is expected to show an annual growth rate (CAGR 2024-2030) of 17.15%, resulting in a market volume of US$528.10bn by 2030.”

The IBEF’s 2023 report says: “In FY23, the public funding for the digital India mission increased by 67% to reach US$1.29 billion (Rs. 10,676 crore). This mission involves a plan for the effective utilization of Data Science and AI to promote financial inclusion, supplement the education sector, and transform the urban infrastructure.”

Indian Institute of Technology Delhi (IIT Delhi)’s Certificate Programme in Data Science & Machine Learning is a comprehensive six-month online course. This industry specific IIT Delhi programme gives you the knowledge to transform data into actionable statistics and build powerful strategies. Gain desired skills in data processing, analytics, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualization. This programme is designed for you – whether you are a working professional who wants to improve your skills, a graduate who wants to stand out from the crowd, or you are a passionate data analyst.

Programme Highlights

• Learn from the faculty of IIT Delhi, one of India's leading engineering schools.
• The learning process will include a combination of live-learning and real-world case studies for better understanding and assimilation.
• Equip yourself with structured industry-oriented insights and work on real-world data sets.
• Be part of peer-to-peer learning and expand your professional network.
• Receive an industry-recognised Certificate from CEP, IIT Delhi.

Key Takeaways

Some of the prominent features of this programme are the Capstone Project and exposure to the best tools in the market. Let’s check them out in detail.

Capstone Project

Students will work on a Capstone Project in Data Science and Machine Learning. This will mark a culmination of theoretical knowledge and practical skills gained during IIT’s data science programme. It involves solving a problem using data-driven techniques and advanced algorithms.

Students will engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. This Capstone project trains students to engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. With this project, your proficiency in programming languages like Python, statistical analysis, machine learning algorithms, and data visualization techniques will come into focus. Students will be part of groups in this project.

Tools Covered

Students will also be trained in tools such as Tableau and Python.

Who This Programme Is Meant For?

• Early and mid-career professionals seeking to stand out in Data Science and Machine Learning to propel their careers forward with precision.
• High-potential professionals keen on insights and with a passion for harnessing data science and machine learning to steer strategic decisions and ignite business expansion.

Industries That Take Data Scientists and Machine Learning Experts

• IT Services (27%)
• Consulting (4%)
• Manufacturing (0.4%)
• Financial Services (1%)
• Others (49%)

Programme Details

For detailed info, visit the course page.

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The Indian Institute of Technology Delhi (IIT Delhi) is one of the 5 initial IITs established for training, research, and development in science, engineering, and technology in India. Established as the College of Engineering in 1961, the Institute was later declared an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology Delhi”. It was then accorded the status of a Deemed University with powers to decide its own academic policy, to conduct its own examinations, and to award its own degrees. Since its inception, over 48000 have graduated from IIT Delhi in various disciplines including Engineering, Physical Sciences, Management, and Humanities & Social Sciences. Of these, nearly 5070 received PhD degrees. The rest obtained a Master’s Degree in Engineering, Sciences and Business Administration. These alumni today work as scientists, technologists, business managers, and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics, or are with NGOs. In doing so, they have contributed significantly to the building of this nation, and to industrialisation around the world.

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• IIT-Mandi to launch 5-year integrated MBA in analytics, data science & AI specialisation from 2024-25

IIT-Mandi to launch 5-year integrated MBA in analytics, data science & AI specialisation from 2024-25

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IIT Mandi launched 5 years MBA program from 2024- 2025

IIT Mandi aim to provide students understanding of management as well as skills like analytics , data science and mathematics .

The Indian Institute of Technology (IIT) Mandi on Monday declared a 5-year MBA  ( BBA)   Analytics honors  MBA, DS &AI  programs. The program offers students to make a better understanding of management and skills like data science, mathematics, and statistics through curriculum activities. 

IMBA also provides integrated courses for other streams like humanities, communication, and general knowledge which ensure students' holistic growth and development in graduation. The main goal of this program is to nurture students' holistic growth for future business leaders which helps students with cross-functional management ability and strong technology. 

IIT, Mandi director  Laxmidhar Beher stated “As a premier technology institution, IIT, Mandi has been actively focusing on the industrial requirements with the growing dependence of technologies, data science, and artificial intelligence for making good business decisions which make competitive advantages.  The MBA program for data science and artificial intelligence was introduced in 2022  which stands up with  industrial requirements.

The initial year of the course program focuses on the student's critical thinking, and creative abilities through the foundational course of management, mathematics, statistics, and personal development. In the last year, the course offered specialized courses for students with skills in applied technologies and cross-functional management.

After the completion MBA  five-year course program. The students will be awarded two different degrees i.e. BBA analytics ( Honors) under IMBA and MBA and AI ( Under IMBA ). The student will undertake two industry Internships one of which will be six months duration which ensure the exposure of Industries and also give opportunities to the students to explore entrepreneurship as a career which students further choose from the centre of IIT, Mandi. Interested students can  pursue one one-year start-up venture 

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IIT Mandi launches 5-year integrated MBA programme

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The 5-year MBA program launched by IIT Mandi spans from 2024 to 2025. It is a comprehensive course designed to provide students with a strong foundation in business management over an extended period, allowing for in-depth learning and practical experience.

Eligibility criteria for the 5-year MBA program at IIT Mandi typically include a bachelor's degree in any discipline from a recognized university or institute. Additionally, applicants may need to fulfill specific academic performance requirements and may be required to clear entrance exams or interviews as part of the admission process.

The 5-year MBA program at IIT Mandi offers a distinctive blend of technical expertise from the prestigious IIT brand coupled with comprehensive management education. Students benefit from a holistic curriculum that integrates engineering and technology with business administration, preparing them to excel in today's dynamic and technology-driven business landscape.

Graduates of the 5-year MBA program at IIT Mandi are well-equipped to pursue diverse career paths in various industries such as consulting, finance, technology, healthcare, and entrepreneurship. With a strong foundation in both management principles and technical skills, graduates can assume leadership roles in organizations or venture into entrepreneurship with confidence.

Yes, the 5-year MBA program at IIT Mandi may offer specialized tracks or concentrations to cater to the diverse interests and career goals of students. These concentrations could include areas such as finance, marketing, operations, analytics, and entrepreneurship. Students may have the opportunity to tailor their coursework according to their chosen specialization, enabling them to develop expertise in their preferred field of study.

IIT Mandi Announces Research and Innovation Fair 2024: Call for Applications

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