phd in business analytics in india

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Best Ph.D Business Analytics Colleges in India

Gender diversity, popular private bba colleges.

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Business Analytics

GITAM School of Business Bangalore - Bengaluru School of Management Studies GITAM, Bengaluru

Fees : ₹ 91.20 K
Ph.D ( 10 Courses )

GITAM HBS Hyderabad - GITAM Hyderabad Business School, Hyderabad

Gitam school of business, visakhapatnam.

Ph.D ( 12 Courses )

Top Institutes Accepting Applications

Ranked amongst top 3% universities globally (QS Rankings)

#39 in NIRF, NAAC ‘A’ Grade | 100% Placement, up to 30% meritorious scholarships | Last Date to Apply: 31st May

NAAC A+ Accredited | Scholarships worth 170 CR

Ranked as India’s #1 Not for profit pvt. University by India Today

NAAC A+ Grade | 23000+ students | 1600+ Teachers

Internship Embedded program | Highest CTC 15.5 LPA | 15th Top West B-School

JNVU Jodhpur - Jai Narain Vyas University, Jodhpur

Ph.D ( 4 Courses )

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KJSIM - K J Somaiya Institute of Management, Mumbai

Exams : GMAT

MAKAUT Kolkata - Maulana Abul Kalam Azad University of Technology, Kolkata

Ph.D ( 6 Courses )

Sri Balaji University, Pune

Fees : ₹ 3.15 Lakhs

University of Science and Technology, Ri Bhoi

Ph.D ( 1 Course )

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Visakhapatnam

Vikrama Simhapuri University, Nellore

Ph.D ( 2 Courses )

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Ph.D. in Business Analytics |

The scope in the field of business analytics is constantly growing and has become the main focus area for research and development in analytics skill levels. Exploring business analytics needs the right focus, technology, people, culture and top management commitment. The analysis and optimization covers a wide area including the interfaces with various other functional fields such as Finance Marketing HR and IT.

Areas of predictive and productivity analysis, reliability modelling, forecasting, and optimization are of particular interest for researchers and businesses. The field of Big Data Analysis and Predictive modelling of business scenarios are areas where a lot of knowledge building and research interest is exhibited. The research Area include in Business analytics are Statistics, Quantitative Techniques, Operation research, and optimization, Big Data Analytics, Business Analytics and Data Mining.

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+91 70282 33777

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Key Information

Programme Code ST1752
Course Type Ph.D.
Mode of study Regular
Campus Vidyavihar - Mumbai
Institute K J Somaiya Institute of Management

Guide Associated

Ph.D Business Analytics

This programme is designed to help young learners gain and apply knowledge of management theories and practices to solve business problems; foster analytical and critical thinking abilities for data-based decision making and ability to develop value based leadership approach.

Programmes offered at

GITAM School of Business, Visakhapatnam campus
GITAM School of Business, Hyderabad campus
GITAM School of Business, Bengaluru campus

Check Eligibility

M.B.A, two year PGDM (AICTE recognized or deemed equivalent by AIU),CA, CS, ICWAI or equivalent Masters degree or a Masters degree holder with at least 7 years of relevant managerial experience

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Message from the Chairperson

The doctoral programme in management at iim ahmedabad (iima), one of the country's first doctoral programmes in management, remains the first choice for students interested in pursuing a career in management in india. iima aspires to be a leading school in management research. to that end, we seek researchers with the potential to become global knowledge creators and research leaders in methodology and practice. the emphasis is on knowledge creation and knowledge expansion. our doctoral students are expected to demonstrate independent research thinking by publishing in prestigious academic journals and giving scholarly presentations on their work. we encourage and support collaborative research with faculty from other universities. we encourage students to join academic, research, and professional networks as early in their careers as possible. the iima doctoral programme offers specializations in agriculture, economics, finance and accounting, human resource management, information systems, innovation and management in education, marketing, organizational behaviour, operations & decision sciences, public systems, and strategy. we strongly encourage multidisciplinary research. we have excellent research facilities, including a library with an impressive collection of management literature, journals, and databases. we provide high-performance computing capability, subject-specific research centres, fellowships, and financial assistance for research and conference attendance. if this excites you, we invite you to apply to the doctoral program and become a member of the iima community., diptesh ghosh chairperson, ph.d. programme, why ph.d. at iima.

Thinking of doing your Ph.D.? If you have outstanding academic credentials, intellectual curiosity, discipline required for deep and meticulous research then the Ph.D. Programme at IIMA is where you should be. You will acquire a solid foundation within your discipline, exposure to new ideas, and mastery of the tools necessary to engage in research as you investigate in-depth today’s most challenging problems.

Vision of the Programme

The objective of the Ph.D. Programme in Management is to equip students with necessary skills to identify and carry out research on complex issues in a specialized field of management. The programme is strongly committed to preparing thought leaders, both for the academic and corporate world. Graduates of the Ph.D. Programme in Management are placed in world class organizations in teaching, research and consulting positions. A total of 422 doctoral students have graduated from IIMA so far.

The Ph.D. Programme in Management seeks candidates with outstanding academic credentials, intellectual curiosity and discipline needed to make scholarly contributions that advance the frontiers of knowledge. It provides a diverse set of opportunities for interdisciplinary learning and research. The student opts for one of eleven functional/sectoral areas and acquires super specialized theoretical knowledge and mastery of practical aspects of the area.

The small class size allows close interaction with faculty members, who provide the intellectual stimulus and help develop the student's research interests and professional goals. Students generally spend a little over four years to complete their Ph.D. which includes two years of rigorous course work.

Course work in the first year provides a general management overview and develops basic skills for analyzing managerial problems. In the second year, students take advanced Ph.D. level courses in their areas of high levels of specialization. After completing the course work, students have to pass an area comprehensive examination to demonstrate that they have reached a level of proficiency in the area of high levels of specialization. The Ph.D. dissertation, for the next couple of years, provides them with an opportunity to make original contribution to an area of management or to one of its source disciplines. Students admitted to the Ph.D. Programme receive a comprehensive fellowship that covers all costs and in addition provides a modest living allowance.

The objective of the Ph.D. Programme in Management is to equip students with necessary skills to identify and carry out research on complex issues in a specialized field of management. The programme is strongly committed to preparing thought leaders, both for the academic and corporate world. Graduates of the Ph.D. Programme in Management are placed in world class organizations in teaching, research and consulting positions. A total of 422 doctoral students have graduated from IIMA so far. The Ph.D. Programme in Management seeks candidates with outstanding academic credentials, intellectual curiosity and discipline needed to make scholarly contributions that advance the frontiers of knowledge. It provides a diverse set of opportunities for interdisciplinary learning and research. The student opts for one of eleven functional/sectoral areas and acquires super specialized theoretical knowledge and mastery of practical aspects of the area. The small class size allows close interaction with faculty members, who provide the intellectual stimulus and help develop the student's research interests and professional goals. Students generally spend a little over four years to complete their Ph.D. which includes two years of rigorous course work. Course work in the first year provides a general management overview and develops basic skills for analyzing managerial problems. In the second year, students take advanced Ph.D. level courses in their areas of high levels of specialization. After completing the course work, students have to pass an area comprehensive examination to demonstrate that they have reached a level of proficiency in the area of high levels of specialization. The Ph.D. dissertation, for the next couple of years, provides them with an opportunity to make original contribution to an area of management or to one of its source disciplines. Students admitted to the Ph.D. Programme receive a comprehensive fellowship that covers all costs and in addition provides a modest living allowance.

Announcements, deadline extended to 29 january 2024, for doctoral programme admissions, ph.d. experiences, my two years journey at iim ahmedabad has been very rewarding. professors, here, are very knowledgeable and supportive. there are abundant research opportunities with hundreds of research seminars occurring every year. campus has excellent infrastructure including classes, sports facilities, hostels and the library is probably the best in india with plethora of resources. ph.d. office, library and administration staff is also very friendly and cooperative. apart from academics, there are plenty of avenues to explore cultural and sports interests..

Atul Karwasara Year of Joining: 2018, Area: Strategy

Ph.D. in innovation and management in education is offered only in IIM A across India, and this unique interdisciplinary course of management and education provides ample opportunity to research in the diverse field within the education sector. The option to choose multiple courses from different management sub-disciplines during coursework in the Ph.D. programme at IIM A has helped me broaden my understanding and knowledge about management education and research. Ph.D. programme at IIM A provides a unique platform in terms of the diverse cohort to hone research skills as the mix of qualitative and quantitative researchers help and support each other in mutual and shared learning.

Nirved Kumar Year of Joining: 2020, Area: RJMCEI

My experience with IIM A, till now, can be summarized in three words - rigour, learning, and development. The coursework is vast and intense. I would admit that the first year of coursework has helped me take a quantum leap into the world of academics. The faculty members are extremely supportive and patient. Additionally, there is ample scope, here, to pursue one’s extra-curricular interests. The community is very tightly knit and my batch profile is so diverse that the past one year was peppered with numerous instances of peer learning - academic as well as non-academic.

Lokesh Malviya Year of Joining: 2020, Area: OB

The Ph.D. Programme of the IIMA admits students who have a strong academic background, are highly motivated and who have the intellectual curiosity to undertake original research.

Ph.d. directory.

Sumit Saurav

Ph.D, V Finance and Accounting

Pratyush Kumar Panda

Ph.D, I Economics

Eeshita Dubey

Ph.D, I Ravi J. Matthai Centre For Educational Innovation

Divyanshu Kukreti

Ph.D, I Information Systems

Areas of Specialisation

Centre for management in agriculture.

At the IIMA, scholarly investigation of agriculture-related management builds on experience that goes back nearly 60 years and touches all aspects.

Communication

Communication - concise, direct, clear, and compelling - is the heart of management.

Teaching and research that span the worlds of economic theory and practice.

Finance and Accounting

Teaching that is a credit to the institution, research that yields a wealth of knowledge.

Human Resources Management

Teaching and investigating all aspects of human resource development, human resource management, industrial psychology and labour relations.

Information Systems

Exploring the interface between ever-advancing information systems and organisaional operations.

Teaching the power of persuasion. Researching new theories or real-life problems.

Operations and Decision Sciences

Teaching and research about how to get the facts, understand them and make optimum use of them.

Organisational Behaviour

Teaching and researching ways to increase the value of the human capital in an organisation.

Public Systems Group

Teaching and researching concepts and skills for effective management of public systems and democratic policy making.

Ravi J. Matthai Centre For Educational Innovation

Innovating, inspiring and influencing the management of education systems in India through teaching and research.

Focusing on organizational strategy and the functions of the chief executive.

What is Ph.D. Programme in Management?

Ph.D. Programme in Management at IIMA consists of 11 different areas of high levels of specialization of Management. It prepares students to pursue a career, which requires high scholastic aptitude and academic research. The programme is primarily designed to help students seek research careers in academia or elsewhere.

Where can I get more information about the Ph.D. Program in Management?

Ph.D. Programmes Office Indian Institute of Management, Vastrapur, Ahmedabad 380 015 Tel +91-79-7152 4640/41

What is the average completing time for the Ph.D. Programme in Management?

The average completion time is between four to five years.

Is it possible to complete the Ph.D. programme on a part-time basis?

No. However, a student may seek employment at the end of four and a half years with the concurrence of his / her thesis advisory committee and Ph.D. Programme Chair.

Who should apply? What are the typical backgrounds of Ph.D. students?

Ph.D. programme looks for highly motivated students interested in pursuing research careers in high levels of specialization requiring high scholastic aptitude. Typical students have varied backgrounds. Please follow the link to know about backgrounds of current students.

What are the qualities which IIMA is looking for in applicants to the program?

The Programme looks for highly motivated and disciplined candidates with strong academic preparation who exhibit curiosity, desire to learn, and have an inclination towards high levels of specialized research.

How will I sustain myself for 4-5 years, if I have a family?

IIMA provides sufficient fellowship (including fees, boarding, lodging and stipend) for five years to doctoral students. Please refer later section for details.

Does it help to have an MBA degree before entering the Ph.D. program?

Not really. From the first year itself the student takes Ph.D. level courses alongwith some PGP courses as recommended by his/her Academic Adviser. Hence, a student coming from non-management background is equally placed with those having a management background. Please check the area pages in the Ph.D. Prgramme in Management Brochure for specific requirements. For example, P&QM area encourages students who have a quantitative training from various disciplines to apply for their programme. Similarly, students with a background in Psychology may find the work done in the Organizational Behaviour useful.

How do I apply? What is the process of admission to the programme? Where can I get the forms? Can I apply online?

Application form can be filled-in online. Application fee of Rs. 500/- can be paid through IIMA payment gateway. Candidates have to attach copies of academic certificates/testimonials and qualifying examination score card along with the application. The qualifying exams are: Scores on standardized tests ( CAT / GATE / UGC JRF / GMAT / GRE / ICAR-SRF)

What are the important deadlines?

Last Date for Ph.D. Programme Application: January 17, 2023 Interview dates (Tentative) - March/April, 2023, Joining dates – May/June 2023

What is the purpose of the interview? What is expected at the interview for IIMA? Does it help if I come prepared with a research proposal?

The purpose of the interview is to gauge the academic preparation of the candidate for her/his chosen high level of specialized area in the programme. It also gives the candidate an opportunity to find out if the programme meets the requirements of the student. The student is not expected to have prepared any research proposal. In addition to interview, some of the Areas may conduct written test.

Does the programme accept international students?

Yes, the programme accepts international students. The eligibility requirements are the same as for domestic students. Please write to us specifically for details on the admission process and fees.

How selective is IIMA? What are my chances of getting admitted? How many students are admitted each year?

The selection process is very rigorous and involves four levels of screening and interviews. The number of seats are not fixed for the programme and depend upon the calibre of the applicant who goes through a fair and rigorous selection process.

Do you have an option of doing high level of specialized inter-disciplinary research?

Yes. You could specify this at the time of application. However, you will be housed in one area of specialization. You could take courses on highly specialized areas of study from a variety of areas and choose your thesis topic that cuts across disciplines.

Is the courses work at IIMA very difficult?

The institute expects high levels of specialized academic rigour and integrity. It has stringent requirements at specified stages of the programme, and there are fair and open processes to check that each student passes these at every stage of the programme. The candidates who are unable to meet these requirements are asked to leave the programme without any prejudice. The process of natural justice is followed in each such case.

What are the important stages in the Ph.D. program?

The key stages are

1. First year coursework (Ph.D. Programme Compulsory courses, Area Ph.D. Courses and some recommended PGP course/s),

2. Second year coursework in area of high levels of specialization,

3. Area comprehensive examination,

4. Thesis Proposal defense,

5. Thesis seminar,

6. Thesis defense

How much flexibility exists in the Ph.D. program? Can I change my area of research during my stay at IIMA?

IIMA Ph.D. programme offers a mix of flexibility and rigidity to the students. Students are allowed to change their chosen area of specialized work during the first year at IIMA, if they fulfil specified criteria. Specific deadlines for doing so are provided in the Ph.D. Programme Manual. IIMA offers high degree of flexibility in choosing areas of research. However a student is required to complete his/her area comprehensive exam by beginning of third year and thesis proposal defense within 9 months of the completion of area comprehensive examination. Details are available in the Ph.D. Programme manual.

How do I choose my research topic?

A research topic requires interest and motivation of student and availability of a suitable guide interested in the area of high level of specialization. Each Ph.D. student forms a Thesis Advisory Committee with whom the student has to work towards her/his thesis.

Are Ph.D. students required to teach?

What support is available for presenting research papers in indian and international conferences.

IIMA offers full support for attending up to 4 domestic conferences during the course of the programme. Competitive Travel Grants are available for attending international conferences as per the prevailing policy.

How do I find a job, after completing my Ph.D. studies?

Jobs depend on a student's competence and high level of specialization achieved during the programme. There are recruiters coming to the campus, faculty advisors provide references, and also through other informal/formal channels.

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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.

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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AnalyticsDegrees.org

PhD in Business Analytics Programs

On This Page:

You’re a business analytics professional who aspires to become a university professor. You’re thinking of a PhD in Business Analytics , but wondering if it’s worth the effort. Use our PhD guide to evaluate timelines , coursework , and the dissertation process . Compare different types of business analytics doctorates . Learn if your experience matches up to typical admissions requirements . Explore funding options and employment avenues . Find answers to questions on online degrees and FAQ . Or jump ahead to listings of all the PhD in Business Analytics programs in the country.

What Are PhD in Business Analytics Programs?

A PhD in Business Analytics or a closely related field is a specialist doctorate focused on the intersection of original and groundbreaking research in applied statistics, analytics & business studies. It is almost always offered by a School of Business. Doctoral students who choose this pathway:

Learn how to deploy sophisticated statistical & analytical techniques to address major corporate challenges
Specialize in making complex, data-driven decisions in specific realms of business (e.g. marketing, finance, operations management, etc.)
Become business analytics professors at universities and top-level researchers in the private sector

Can You Earn a PhD in Business Analytics?

Yes. Doctoral programs in business analytics exist, but they are academically-focused and research-driven. A PhD in Business Analytics is not a workplace qualification like an MS in Business Analytics or an MS in Data Science or a practical business administration degree like an MBA or DBA . Most PhD programs in our listings are specifically designed to help students become university professors.

Types of Business Analytics Doctorate Programs

Doctoral programs in this field tend to fall into two main categories: Business Analytics or Operations Management (or a combo of the two). Once you’ve highlighted a few programs, you can use the curriculum links in our listings to dig down into the coursework and explore faculty research interests.

PhD in Business Analytics

At the doctoral level, a PhD in Business Analytics has many of the same hallmarks as a PhD in Data Analytics . It will often involve high-level training in areas such as applied statistics, statistical programming, data mining, simulation, data science, optimization, and decision analysis. You’ll be required to apply all of those skills to a specific area of business research (e.g. marketing, economics, finance, operations, management, etc.). See the Dissertation section for examples of projects.

PhD in Operations Management

A PhD in Operations Management (OM) is focused on optimizing business processes from production through to distribution. Think of supply chains, operations planning & control, distribution networks, pricing, and inventory management. Using your skills in business analytics (see above), you could be challenged to develop theoretical models, conduct empirical studies, and run complex data analyses to find ways to improve these interconnected parts.

PhD in Business Information Technology (or Similar)

Some universities also offer “build your own” doctorates with an interdisciplinary feel. You’ll be able to combine coursework from the School of Business and technical departments. With an interdisciplinary doctorate, you can concentrate your research on whatever you please—operations management, information systems, business & data analytics, or even security & privacy.

Note: If none of these programs feel right, consider a PhD in Data Analytics . You may be able to customize your doctorate with corporate coursework (e.g. econometrics) and industry projects with the School of Business.

How Doctorates in Business Analytics Work: Curriculum & Dissertation

Degree structure.

Doctoral students go through 6 key stages to earn a PhD in Business Analytics—you have to finish one stage (e.g. core coursework) before you can progress to the next one (e.g. qualifying exam). On a full-time schedule, the entire doctorate might take 4-5 years.

Core Coursework

Qualifying/comprehensive exam, dissertation proposal, dissertation, dissertation defense.

Year 1: Core coursework and first-year research papers. Assignment of a faculty mentor.
Year 2: Core coursework, electives, second-year research papers, and the qualifying exam.
Year 3: Any remaining coursework. Preparing research projects for publication. Dissertation proposal.
Year 4: Dissertation work under the guidance of a dissertation advisor and advisory committee.
Year 5: Dissertation work. Research papers & conference submissions. Dissertation defense.

Sample Curriculum

The first two years of your PhD in Business Analytics will contain a set of mandatory research & business courses. These credits are designed to equip you with all the skill sets you might need for your dissertation . Here are a few samples of real course titles from doctoral programs:

Research Methodology & Technical Skills

Probability & Statistics
Linear Algebra
Applied Stochastic Process
Multivariate Analysis
Linear Programming
Data Structures

Business Concerns

Operations Management

Management Information Systems
Microeconomics
Information Analysis for Managerial Decisions
Supply Chain Operations and Information

You can see how PhD programs in business analytics draw on high-level coursework from the Departments of Statistics & Computer Science and coursework from the School of Business. The mix will vary depending on the title & focus of the PhD. Visit the curriculum links in our listings to learn more about each program’s unique approach.

In addition to core coursework , your doctorate will almost always contain electives. You’ll be allowed to choose your own subjects and customize your degree to suit your research goals.

At the doctoral level, electives can be super-specialized. Here are a few examples of electives from PhD programs in Business Analytics & Operations Management:

Business Analytics

Data Structure & Algorithms
Machine Learning
Markov Decision Processes
Artificial Intelligence (AI)
Game Theory
Scheduling Theory
Service Operations

Once you’ve completed your core coursework , you’ll be required to pass a comprehensive exam. The exam is designed to test your knowledge and prepare you for top-tier research projects.

The qualifying exam for a PhD in Business Analytics can take a number of forms. For instance:

At the University of Cincinnati, the PhD in Operations, Business Analytics, and Information Systems qualifying exam consists of a written exam and a oral presentation.
At the University of Oregon, the PhD in Operations and Business Analytics qualifying exam involves a test and a second-year paper that must be presented at a departmental seminar series.

After you’ve passed the qualifying exam, you can focus on developing the idea for your dissertation under the supervision of a dissertation advisor/faculty mentor. You may wish to work on a research-based dissertation, which explores new theories & models, or a project-based dissertation, which involves exploring real-life business problems.

You’ll assemble these ideas into a proposal and present your proposal to a dissertation advisory committee. The committee will be composed of experienced faculty members and—occasionally—outside experts. If the committee accepts your proposal, you can get to work on your dissertation.

A PhD dissertation is defined as a work of original research that makes a significant contribution to the theory & practice of a field. Your goal is break new ground in business analytics—new theories, new practices, and new data-driven approaches.

Dissertation Titles

Here are a few examples of real-life PhD dissertation titles in business analytics & closely related fields:

Revenue Maximization Using Product Bundling
Estimating the Statistics of Operational Loss Through the Analyzation of a Time Series
Performance Improvement Through Better Understanding of Supply Chain Resilience
Managing Outsourcing Decisions: Government Policy, Firm Options, and the Economic Impact
Applications of Revenue Management in Healthcare
Three Essays on Optimization and Decision-Making Solutions in Retail Operations

In tandem with your dissertation, you may also be writing up research papers to submit to peer-reviewed journals and industry conferences.

The defense is the final stage of your PhD. You’ll be challenged to present your findings to the dissertation advisory committee and defend your research in an oral & visual presentation. The committee will then ask you questions and discuss your work.

If you have a strong dissertation advisor, you’ll be more than ready for the defense! You’ll know your research backwards and forwards and you’ll be prepped to answer likely questions. You can improve your odds even further by observing other student defenses, practicing with mock presentations, and researching the work of committee members.

PhD in Business Analytics: Admissions

Doctorate in business analytics: what it takes to get in.

PhD programs in business analytics are 1) rare; and 2) typically fully funded . That also means they’re extremely competitive! Some Schools of Business may only accept 2-3 candidates per year. Follow the admissions links in our listings to get a sense of the university’s expectations.

Not sure if you have what it takes? Take a moment to:

Assess your application to see if you can compensate for weak spots (e.g. GPA) with strengths (e.g. research projects, teaching experience, published papers, etc.)
Make sure that your research interests would be a good fit with the PhD program’s faculty, departments, and facilities (e.g. Operations Research Center)
Talk to current PhD students and recent alumni about their experiences with admissions, research work, and employment after graduation

Degree Requirements

For a PhD in Business Analytics, universities will want to see candidates who have a degree in business or a related technical discipline (e.g. data analytics, data science, statistics, etc.). The standard GPA requirement is 3.0 GPA or higher.

Bachelor’s Degree Entry: A number of schools are willing to consider applicants with a bachelor’s degree. However, they may give preference to candidates with prior graduate-level coursework.
Master’s Degree Entry: Some doctoral programs in business analytics are only open to candidates with a master’s degree.

Are you a bachelor’s degree candidate who’s interested in a PhD with a master’s degree entry? Talk to the program coordinator. You may be able to earn a graduate degree at the same university before transferring into the PhD track.

Skills & Proficiencies

A PhD in Business Analytics or a closely related field is a highly technical degree, so universities will often want to see evidence of skills & proficiencies in:

Calculus and linear algebra
Computer programming
Quantitative fields (e.g. maths, statistics, operation research, supply chain management, etc.)

But they will also be looking for skills that all academic professors must have, including:

Oral & written competencies
Teaching & research talents

General Requirements

In addition to your academic transcripts, be prepared to submit:

GRE or GMAT scores
Letters of recommendation
Statement of purpose
TOEFL scores for non-English speaking international applicants

In particular, universities will be looking for candidates with strong quant & analytical scores on the GRE or GMAT.

PhD in Business Analytics: Tuition & Funding

How to fund the phd.

Doctorates in business analytics can be grouped into 2 categories:

Fully funded PhD programs
Tuition-driven PhD programs

Fully funded PhD programs are the norm in this field—they’re designed to prepare graduates to become academic professors.

Fully Funded PhD Programs

A fully funded PhD in Business Analytics means that the university pays for your education. They will waive all tuition costs and provide you with a living stipend as compensation for teaching & research activities.

Assistantships: Most PhD in Business Analytics students work as Teaching Assistants (TAs), Research Assistants (RAs), or course instructors during their studies.
Scholarships & Fellowships: Some high-potential candidates will also receive additional monetary awards on top of the standard living stipend.

Talk to the PhD program coordinator to learn more about funding packages. You may (or may not) qualify for:

Conference stipends, travel support, research-related expenses & other perks
Campus housing
University health insurance
Fee waivers
Summer fellowships & financial support
Professional membership dues

Most universities will cover funding for Years 1-4 of your degree. With certain PhD programs, Year 5 support will be conditional on strong academic performance.

Tuition-Driven PhD Programs

You’ll occasionally run into a doctoral program in business analytics that is tuition-driven. That means the university expects you to pay for the degree by yourself. A PhD in this category could cost between $50,000-$96,000.

Be very cautious about this route! If you can’t get into a fully funded PhD program, consider a master’s degree in a relevant field of interest (e.g. MS in Business Analytics ) or a more flexible doctorate.
You don’t need a PhD in Business Analytics to work in an industry role. It’s only going to be useful if you wish to become a university professor or top-level researcher.

Online PhD in Business Analytics Programs

Can you earn an online phd in business analytics.

Yes—with a caveat. Capitol Technology University offers an Online PhD in Business Analytics and Data Science , but we would classify this more as an “industry” data science degree than an “academic” business analytics doctorate. And you will have to pay for it.

Why Are Online PhD Programs in Business Analytics Hard to Find?

Quality control. Top-tier research universities and high-ranking Schools of Business want to ensure that doctoral students:

Take full advantage of all of their campus facilities (e.g. research centers, labs, and technical infrastructures)
Learn how to teach undergraduates in actual classrooms
Collaborate with faculty, fellow students, and their dissertation advisor on a regular, in-person basis
Be present for seminars, workshops & networking events with visiting experts

We back them up on this matter. If you’re going to commit to a PhD in a niche topic like business analytics, choose one that is fully funded and on-campus.

Career Prospects for PhD in Business Analytics Graduates

As we mentioned, a PhD in Business Analytics or a closely related field is a super-specialized and research-focused degree. It will prepare you for a couple of roles:

Assistant Professor or Post-Doc Position: You’ll be teaching business analytics at the university level to undergraduates.
Senior Research Position: Some niche positions in fields like finance & economics will require top-level research skills (e.g. Senior Statistician).

However, you don’t need a doctorate in business analytics to pursue a senior-level position within the industry:

Many analytics experts simply have an MS and industry certifications .
Many managers & CEOs have an MBA or DBA .

PhD Business Analytics FAQ

What should i look for in a business analytics doctoral program.

Start with our program listings . You can use the curriculum & admissions links to evaluate your degree options and create a shortlist of likely candidates. Once you have some names in mind, consider the following factors:

Funding Package: Almost all PhD programs will be fully funded , but some will have better benefits than others. Ask about perks like health insurance, travel stipends, fellowship awards, and the like.
School of Business Reputation: A PhD in Business Analytics will almost always be offered by a School of Business. Look for Schools that are AACSB-accredited , nationally ranked, and well-regarded in the academic community.
Department Reputations: Investigate each department that’s offering PhD coursework & electives. What kinds of research labs & facilities do they have? Are they working on industry partnerships with the School of Business? Are they exploring new frontiers in analytics?
Faculty Expertise: Faculty profiles will be featured on the PhD program website. These people will be your mentors & advisors, so get to know them. Read through their bios, meet them for a virtual coffee, and learn more about their research interests.
Career Preparation: What kinds of Teaching Assistantship (TA) opportunities will you be offered? Will you be able to submit your PhD research papers to academic journals? Will you be encouraged to present at major business & analytics conferences?
Academic Placements: The vast majority of PhD graduates in business analytics will go on to teach in universities. So find out where alumni have ended up. Some PhD programs provide a list of recent academic placements.
STEM Designation: International students who wish to work in the States after graduation should check and see if the doctorate is a STEM-designated program . This designation is needed to extend the OPT period for students on an F-1 Visa.

You may also want to look up past winners of the UPS George D. Smith Prize from INFORMS. This prize is given to an academic department or program that prepares students to be good practitioners of operations research, management science, or analytics.

What is a Doctor of Business Administration (DBA)?

Like a PhD, a Doctor of Business Administration (DBA) is a terminal degree that includes a dissertation. However, the DBA focuses on applied research instead of original research. DBA students use existing practices and theories and apply them to real-world business problems. Examples of DBA offerings include:

DBA in Business Intelligence
DBA in Data Analytics
DBA in Business Analytics

DBA vs. PhD

DBA students tend to be working professionals who want to explore an area of analytics or BI research that can be applied to their current jobs. They’re willing to pay for a 3-year doctorate that may be online or part-time. And they often secure consultancy & leadership positions within their industry.

PhD in Business Analytics students aspire to become academics, professors & top-level researchers. They’re willing to commit to 5 years of rigorous, in-person study and they’re happy to teach undergraduates, publish papers in academic journals, and live in a world of theoretical research.

What is AACSB Accreditation?

The Association to Advance Collegiate Schools of Business International (AACSB) is a global non-profit association that provides specialized accreditation to Schools of Business.

Schools of Business must go through a stringent assessment process to earn AACSB accreditation. The AACSB evaluates the School’s mission, faculty qualifications, curricula, and ability to provide quality programs.
You can use the AACSB’s handy tool to search for AACSB-accredited schools and filter by location, delivery, format, and even field (e.g. Operations Management, Data Analytics, etc.).

What is a STEM Doctorate?

A STEM doctorate is typically defined as any PhD that contains at least 50% of coursework in the fields of Science, Technology, Engineering & Mathematics.

Are you an international student hoping to work in the States? Ask if the PhD has a “STEM designation” from the U.S. Department of Homeland Security (DHS). Students on an F-1 Visa can apply for Optional Practical Training (OPT) after graduation. With a STEM-designated degree, the OPT period can be extended from 12 months to 36 months.
STEM programs often receive financial support from the government and private industries. That means universities may be able to offer more fully funded PhD programs in STEM fields.

Not all Business Analytics programs are STEM programs! For example, Pitt’s PhD in Business Analytics & Operations contains a lot of business coursework and is classified as a doctorate in Business Administration. Check with the PhD program coordinator before you make a choice.

Is a PhD in Business Analytics Worth It?

Only if it aligns with your career goals in research & academia. A PhD in Business Analytics or a closely related field is an intense, 5-year doctorate that prepares graduates for jobs as university professors & top-level researchers. It’s not designed for professionals who want a practical industry qualification.

Wondering whether to make the leap? Ask recent PhD graduates about their experiences. You’ll find them on LinkedIn, at industry conferences , and within faculty directories on university websites. Be ready to answer questions about your research interests & teaching aspirations.

All Phd in Business Analytics Programs

University of south alabama.

Mitchell College of Business

Mobile, Alabama

Phd in Business Administration - Business Analytics Concentration

University of delaware.

Lerner School Business & Economics

Newark, Delaware

PhD in Financial Services Analytics (FSAN)

Phd in hospitality business analytics, florida international university.

College of Business

Miami, Florida

PhD in Business Administration - Information Systems and Business Analytics

Georgia state university.

Robinson College of Business

Atlanta, Georgia

PhD in Business Administration & Digital Innovation - Data Science & Analytics

University of illinois at urbana-champaign.

College of Liberal Arts & Sciences

Champaign, Illinois

PhD in Mathematics with a Concentration in Actuarial Science and Risk Analytics

Iowa state university.

Debby and Jerry Ivy College of Business

PhD with a Specialization in Information Systems and Business Analytics

University of iowa.

Tippie College of Business

Iowa City, Iowa

Massachusetts

Bentley university.

McCallum Graduate School of Business

Waltham, Massachusetts

PhD in Business, Concentration in Business Analytics

Cuny bernard m baruch college.

Zicklin School of Business

New York, New York

PhD in Operations & Decision Analytics

University of cincinnati.

Carl H. Lindner College of Business

Cincinnati, Ohio

PhD in Operations, Business Analytics and Information Systems

University of oregon.

Division of Graduate Studies

Eugene, Oregon

PhD in Operations and Business Analytics

Pennsylvania, drexel university.

LeBow College of Business

Philadelphia, Pennsylvania

PhD in Business - Business Analytics Specialization

University of pittsburgh-pittsburgh campus.

Katz Graduate School of Business

Pittsburgh, Pennsylvania

PhD in Business Analytics and Operations

The university of tennessee.

Haslam College of Business

Knoxville, Tennessee

PhD in Business Analytics & Statistics

Executive-Friendly Program | High Impact Format

Unlock the Power of Data for Transformative Business Insights

E-masters in data science and business analytics, develop futuristic public policies.

Leverage data for strategic business decisions and accelerate your career growth with IIT Kanpur Masters Degree in Data Science and Business Analytics

Applications closing in

No GATE Score required
IIT Kanpur Alumni Status

Key Highlights of IIT Kanpur e-Masters Degree

Selection Based on academic and professional background and test, interview where necessary. No GATE required.
High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
Executive Friendly Schedule Learn while you earn, with the flexibility to complete the program between 1 - 3 years.
Career Advancement and Networking Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.
IIT Kanpur Alumni Status Become an IIT Kanpur alumni with access to all the alumni privileges.
Credits Transfer Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.

Admission Process

Application Register with Mobile Number Submit Details Remit Application Fee Upload Documents --> Round 2 applications closing on 20th April --> Application Deadline - 12th May -->
Selection Selection Test Starts March 30th Application Review Selection Test * Interview Selection Announcement June 2023 -->

Class Start - July 2024

* Selection test differs for every programme

e-Masters in Data Science and Business Analytics Course Overview

e-Masters in Data Science and Business Analytics program offers working professionals the opportunity to earn a masters degree in data science and business analytics online. This program combines the latest advancements in data science with the practical applications of business analytics, providing professionals with a comprehensive understanding of the field. The program from the Department of Management Sciences (DoMS), formerly known as Department of Industrial and Management Engineering (IME), is designed to help professionals develop the skills and knowledge needed to make data-driven decisions and solve complex business problems. The curriculum covers a wide range of topics, including data mining, machine learning, statistical modeling, big data, and more.

The Masters in Data Science and Business Analytics program is an ideal choice for individuals looking to advance their careers in this rapidly growing field. Graduates will be equipped with the skills and knowledge needed to make an impact in a variety of industries, including technology, finance, healthcare, marketing, and more. With a flexible online format, students can pursue their masters degree in data science and business analytics while balancing work and other commitments.

Graduation Ceremony at IIT Kanpur Campus

Leverage data science applications for making smart business decisions
Get an eMasters Degree from IIT Kanpur
Become a part of IIT Kanpur's alumni network
Learn from a leading research faculty group
Receive mentorship and career support from the IIT Kanpur placement cell
Incubation support for promising startup initiatives
Opportunity to create a meaningful network with diverse professionals

Why do participants choose the eMasters degree?

"I work in EDI technology, which is related to data. I believe this program will help me understand Data Science hands-on, and introduce me to tools and best practices. Also, it’s every Engineer’s dream to study at IIT. So, this program will benefit me in myriad ways; career-wise and personal goals." Ankit, Programming Analyst at Software Company with 2 years of experience
"Exposure to cognitive and prescriptive quantitative methods will provide me with the tools for decision-making beyond conventional methods. The domain electives will help me understand the quantitative methods to address the challenges business leaders face today." Puneet, Vice President at an International Banking Services Company with 17 years of experience

Hear from our Program Alumni

Empower Your Career with IIT Kanpur Masters in Data Science and Business Analytics: Learn from Our Expert Faculty Group of Cutting-Edge Researchers from Various Departments, Including Economic Sciences, Department of Management Sciences (DoMS), Mathematics, and Computer Science & Engineering.

Vipin B Ph.D., Operations, IIT Madras Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Decision Theory, Behavioral Operations Management, Supply Chain Contracts, Optimization in Operations Management, Sustainable Operations, Healthcare Operations
Devlina Chatterjee Ph.D., Management Studies, IISc Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Managerial Economics, Applied Econometrics, Consumer Finance, Tourism economics, Resilience of Social Systems, Empirical Finance
Faiz Hamid Ph.D., Decision Sciences & Information Systems, IIM Lucknow Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Operations Research, Combinatorial Optimization, Network Optimization, Data Science
Sri Vanamalla V Ph.D., Management Studies, IISc Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Applied Operations Research, Optimization and Game Theory
Amey Karkare Ph.D., Computer Science and Engineering, IIT Bombay Associate Professor, Department of Computer Science and Engineering Research Expertise: Compilers, Data Flow Analysis, Heap Analysis
Arnab Bhattacharya Ph.D., Computer Science, Department of Computer Science - University of California, Santa Barbara Associate Professor, Department of Computer Science and Engineering Research Expertise: Databases, Data Mining, Bioinformatics
Subhajit Roy Ph.D., Computer Science and Engineering, IISc Associate Professor, Computer Science and Engineering Research Expertise: Compilers, Program Analysis, Code Optimization, Formal Methods, Artificial Intelligence, Software Engineering, Programming Languages

Jothsna Rajan Ph.D., Public Policy, IIM Bangalore Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Partnerships, Public Administration, Policy Evaluation
Veena Bansal Ph.D., IIT Kanpur Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Data Science, Software Project Management, ERP
Abhinava Tripathi Ph.D., Finance and Accounting, IIM Lucknow Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Financial Markets, Market microstructure, Liquidity, Market Efficiency, Banking, Corporate Banking, Credit risk management in Banking, Project Finance, Investment Management, Derivatives, Security Analysis and Portfolio Management, Corporate Finance, Financial Management, Corporate Valuation and Restructuring, R programming: Quantitative applications in Finance with R, Accounting, Financial Accounting, Management Accounting
Suman Saurabh FPM (Ph.D.), IIM Ahmedabad Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Corporate Finance, Asset Pricing, Behavioral Finance, Mergers and Acquisitions, Financial Derivatives
Amit Shukla FPM, IIM Lucknow Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Emerging Employment Relationship, Citizenship Behaviour, Psychological Ownership, Positive OB, Academic Excellence, Staffing, Talent and Performance Management, Marketing Communications
Vinay Ramani Ph.D., University of Buffalo Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Economics-Operations Management Interface; Industrial Organization; Pricing Strategy
Avijit Khanra Fellow (Ph.D.), IIM Ahmedabad Assistant Professor, By Department of Management Sciences (DoMS) Research Expertise: Inventory Control, Supply Chain Management, Production Scheduling, Analysis of queues
Shankar Prawesh Ph.D., University of South Florida, College of Business Associate Professor, By Department of Management Sciences (DoMS) Research Expertise: Social Media, Agent Based Simulation, Fairness in Big Data

e-Masters in Data Science and Business Analytics Curriculum

A well-researched real-world curriculum by IIT Kanpur’s subject matter experts that fosters hands-on learning and helps you master the desired capabilities by combining deep formal rigour and an intensely practical approach.

eMasters in Data Science and Business Analytics consist of Core (C), Specialization (S), and Electives (E) and Domain Electives (D) modules and Projects (P). Participants are given flexibility in deciding on electives and projects and follow the following structure. 3 Core Modules + 3 Modules from a basket of 5 Advanced Electives + 4 Modules from a basket of 5 Domain Electives + 2 Projects (1 project+1 elective)

Core Modules

Stochastic Elements of Business
Linear and Non-Linear Modeling
Data Mining Tools & Techniques

Advanced Elective Modules

Applied Machine Learning
Optimization Methods for Analytics
Temporal and Cross-Sectional Modeling
Causal Inference Models
Multivariate Data Analysis

Domain Elective Modules

Marketing Analytics
Financial Analytics
Social Media Analytics
Supply Chain Analytics
Human Resource Analytics
Project - 1
Project - 2

Detailed Curriculum

Immersive Learning Format

Online LIVE and self-paced sessions are delivered through AI-powered iPearl.ai
Live interaction as per the faculty availability
Apply learnings through projects while working in teams and establish a peer network
Final module-level exams will be conducted online
Opportunity to meet experts and experience the IITK campus during campus visits

Eligibility

Bachelor's degree (4 years program) in engineering, science, economics with at least 55% marks or 5.5/10 CPI (Or) Master’s degree in engineering, science, economics, commerce, management with at least 55% marks or 5.5/10 CPI
2 years of work experience (an applicant need not be currently employed to be eligible).
Candidates should have had mathematics in Class 12.

Data Science and Business Analytics e-Masters: Fees

Fee structure for candidates opting to complete the program in 1 year .

*For every additional quarter, fees of Rs 15,000 will be applicable.

For Example

Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000

Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000

All other fees remain the same.

Fees paid are non-refundable (after a certain time period) and non-transferable.

Partial Fee waiver available. For more details Click Here

About IIT Kanpur

Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.

Ranked 1st in Innovation, 4th in Engineering and 5th in Overall Category by NIRF 2023
Built on world-class academic research culture
Offers various undergraduate, post-graduate, integrated, and research programs in the field of engineering, science, management, and design

IIT Kanpur Online Masters Degree Courses

In the News

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State-of-the-Art Digital Learning Platform

The eMasters Program by IIT Kanpur will be delivered on iPearl.ai , a State-of-the-Art digital learning platform, powered by TalentSprint. iPearl.ai , highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single-sign on experience for all your learning needs including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.

Frequently Asked Questions

What is the curriculum for the program.

The curriculum for eMasters in Data Science and Business Analytics comprises Core (C), Advanced Electives, Domain Electives (E) modules, and Projects (P). Participants are given flexibility in deciding on electives and projects and follow the structure of 3 Core Modules + 3 Modules from a basket of 5 Advanced Electives + 4 Modules from a basket of 5 Domain Electives + 2 Projects (1 project+1 elective)

The Core Modules include

Stochastic Elements of Business: This is an introductory module. The emphasis will be on the practical use of data analysis techniques for visualization and summarization of data yielding useful insights. The topics covered include probability, random variables and distributions, limit theorems and point estimation, confidence intervals, hypothesis testing, and analysis of variance.
Linear and Non-Linear Modeling: This module will introduce you to regression tools that help explore causal relationships between different factors within a business environment. The topics covered include regression, linear regression with one and multiple variables, measures of fit, and heteroscedasticity.
Data Mining Tools & Techniques: The module gives an insight into data mining (DM), its theoretical foundations, tools, and techniques. Some of the topics covered include data preparation for DM, supervised and unsupervised learning, decision trees, artificial neural network, native Bayes classifier, classification evaluation, and improvement techniques.
Applied Machine Learning: The module provides a sufficient theoretical understanding of various ML techniques and an opportunity to apply them to a data set using the python programming language.
Optimization Methods for Analytics: In this module, you will learn about optimization models and techniques and how to effectively apply them in solving management and engineering problems. The topics include linear programming, its applications, graphical and simplex method, duality and sensitivity analysis, numerical optimization - search, and gradient methods.
Temporal and Cross-Sectional Modeling: In this module, you will learn about some of the important forecasting tools to be applied in the context of business settings. The module further puts a spotlight on statistical analysis models like ARIMA, and exponential smoothing that uses time series data to better understand the data set or to predict future trends.
Causal Inference Methods: Here, you will be introduced to a set of econometric tools necessary for business decision-making. This is an application-based module where you will learn the importance of conducting causal analysis and how one can use it effectively to optimize business processes. The module will also deliberate on methods that are useful in drawing causal inferences like propensity score matching method, regression discontinuity method, true experiments, and quasi-experiments.
Multivariate Data Analysis: Here, you will learn to recognize the data patterns containing more than two variables as part of multivariate data analysis. In addition, you will learn how multivariate data analysis is used in the corporate environment to support decision-making. The topics covered include factor analysis, ‘R’ type factor analysis, canonical correlation analysis, conjoint analysis, cluster analysis, multidimensional scaling, and structural equation modeling.
Marketing Analytics: Through this module, you will explore how statistical tools can be used to improve marketing decisions and return on marketing investment. Topics covered include marketing analytics, pricing methods, customer lifetime value (CLV) calculation, market segmentation - cluster analysis, retailing - RFM analysis, direct mail optimization, advertising - media selection models, online business, and recommender systems.
Financial Analytics: Here, you will develop the necessary technical knowledge of building financial models and doing financial analytics using Excel NBA/R/Python. The module includes topics covering the application of data analytics in the financial markets: equity markets, fixed-income markets, and derivative markets. The module has a dedicated focus on portfolio analytics and risk management.
Social Media Analytics: Social media has changed how individuals live, buy, interact with each other and consume products, services, and information. This module aims to help you understand the complexity of network effects and how companies can use their social media data to drive their strategies and make profitable decisions.
Supply Chain Analytics: This module encompasses a detailed understanding of the design and management of a supply chain. You will also learn to critically analyze the performance of a supply chain ecosystem statistically and also get exposure to the techniques for improving the performance of a supply chain function in the organization.
Human Resource Analytics: Through this module, you will be able to impart necessary skills for quantification of human attributes and efforts and measuring their efficiency and effectiveness in producing desirable organizational outcomes. Some of the topics covered include capability planning, LAMP framework, evidence-based management (Mercer framework), and talent management audit.

Post Graduate Program in Business Intelligence & Analytics

To get a call from admission office please fill in your details below..

Post Graduate Program in Business Intelligence and Analytics is curated to give business professionals the abilities and information necessary to thrive in the modern, data-driven business environment After completion of this program, participants in a PGBIA program should be able to

About Data Science

A huge and ever-growing repository of data is generated from modern information systems and digital technologies, such as the Internet of Things and cloud computing, on a daily basis. The analysis of this massive data from different sources requires a lot of effort at multiple levels to extract knowledge for decision-making. Therefore, Big Data analysis is an upcoming and growing area of research and development that is in huge demand. There is a plethora of unexplored possibilities for using Big Data across different domains, once various key pain areas are identified. By analyzing the data with the correct tools and methodology, solutions to different business-related problems can be derived. Hence, new avenues and job roles are being created across industries and sectors, with specialized competency that has a priority demand and relevance to business and profitability.

Career Growth :

If you’re looking for a way to jump-start your career, earning your data Analytics certification is an important step to take. Even if you’re already experienced in data Analytics, a professional certification from an advanced data Analytics course can still help you grow in your career, stand out amongst the competition, and even increase your earning potential. In fact, Business Wire revealed through a study that professionals typically saw a salary increase ranging anywhere from 20% to 40% after getting certified.

Flexibility, Freedom and Options :

If you’re looking to get certified in a field where you’ll always have a lot of options and never be bored in your line of work, data Analytics is the way to go. There are so many different industries leveraging the power of data Analytics, from healthcare to finance, to retail and entertainment. In reality, just about every industry and company these days is recognizing the importance of data and the need for qualified data Analysts. Have you ever dreamed of working for a Fortune 500 company, such as Amazon or Facebook? If so, earning a data Analytics certification can be your first step at landing you a job at one of the many Fortune 500 companies actively hiring data Analysts.

Course Outline :

The PGBIA program starts with an overview of basic statistical concepts, including descriptive statistics, inferential statistics, and probability theory. This covers the basics of data cleaning, data transformation, and data visualization

The basics of machine learning, including supervised and unsupervised learning algorithms. The program also covers the various types of models that can be used in machine learning, such as linear regression, logistic regression, decision trees, and clustering algorithms.

The basics of big data, including the technologies used to store, process, and analyze large volumes of data. The program covers the basics of data warehousing, including the various techniques used to store and retrieve data using Spark.

The various techniques used to build predictive models, including regression analysis, time series analysis, and decision trees. The program will also cover the various techniques used to build predictive models using python

The various tools and techniques used to analyze business data, including dashboards, scorecards, and KPI. The program will also cover the various types of analytics, including descriptive, diagnostic, predictive, and prescriptive analytics using Power BI

The various business applications of data analytics, including marketing analytics, financial analytics, supply chain analytics, and HR analytics.

This includes Sample Business Problem: A retail company is experiencing declining sales and wants to understand why customers are leaving and how to retain them. The PGBIA participants will use data analytics to analyze customer behavior and develop a marketing strategy to retain customers.

Phases Of The Project

Data Collection: The participants will collect data on customer demographics, purchase history, website behavior, and social media engagement. They will clean and transform the data, and visualize it to identify patterns and trends.

Analytics Tools: The participants will use various analytics tools and techniques, including regression analysis, clustering algorithms, and decision trees to analyze the data and identify factors that contribute to customer churn.

Insights and Recommendations: Based on the analysis, the participants will develop insights and recommendations for retaining customers. This could include targeted marketing campaigns, loyalty programs, and personalized offers based on customer behavior.

Presentation: The participants will present their findings and recommendations to a panel of judges, including industry experts and faculty members. The presentation will include visualizations of the data, analysis of the results, and a detailed plan for implementing the recommended marketing strategy.

The Course Helps You Prepare For The Following Certifications:

AZ-900 | DP-900| Al-100 | Al-102 | PL-300

The PGBIA program aims to provide working professionals with a comprehensive understanding of the tools and techniques used in data analytics and how they can be applied to solve real-world business problems

1 Year Post Graduate Program In Business Intelligence & Analytics

Mode - Hybrid

Eligibility - 50 % in graduation from any recognized University with minimum 2 years of Work Experience

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Post Graduate Diploma in Business Analytics (PGDBA)

Important Notice for the 2022-2024 Admission Process: COVID-19 and Possible Disruptions: The 2022-2024 PGDBA Admission process is to be conducted taking into account the COVID-19 crisis. The information provided by the 2022-2024 Admission Policy is contingent upon the decisions and directions issued from time to time by the Central, State governments and the Tri-institute PGDBA Admission Committee. Candidates are advised to regularly check PGDBA website for further information.

About The Programme

The Post Graduate Diploma in Business Analytics (PGDBA) – jointly offered by IIM Calcutta, IIT Kharagpur and ISI – aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field. PGDBA is a two year full time residential diploma programme aimed at creating business analytics professionals employable by leading Indian and foreign firms. This programme is designed for those who have an analytical mindset, are interested in tackling challenging business problems, and possess an inclination towards mathematics. Some of the salient features of the programme include courses taught by reputed faculty members at the campuses of three globally renowned institutes, hands-on business analytics training at a related company, continuous interaction with industry leaders throughout the course of the diploma programme, and the availability of placement opportunities at all the three institutes jointly offering this programme.

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About The Programme

The Post Graduate Diploma in Business Analytics (PGDBA) – jointly offered by IIM Calcutta, IIT Kharagpur, and ISI – aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field.

PGDBA is a two year full time residential diploma programme aimed at creating business analytics professionals employable by leading Indian and foreign firms. This programme is designed for those who have an analytical mindset, are interested in tackling challenging business problems, and possess an inclination towards mathematics. Some of the salient features of the programme include courses taught by reputed faculty members at the campuses of three globally renowned institutes, hands- on business analytics training at a related company, continuous interaction with industry leaders throughout the course of the diploma programme, and the availability of placement opportunities at all the three institutes jointly offering this programme.

For information regarding the Batch 2024-26 Admissions, please visit: http://www.pgdba.iitkgp.ac.in/

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Post Graduate Diploma in Business Analytics

As per a report by Allied Market Research, the Global Big Data and Business Analytics Market is expected to grow at a CAGR of 10.9% to reach $420 Billion by 2027.

Be an expert Business Analyst with BITS Pilani Post Graduate Diploma Programme in Business Analytics. It is a two-semester Work Integrated Learning Programme meant for working professionals who aspire for rapid career progression in the high-growth areas of Business Analytics and Big Data, and thus, wish to stand out in highly competitive workplace.

Option to pay fees using an easy EMI with 0% interest and 0 down payment.

WILP programs are

UGC approved

EMI Option With

0% Interest & 0 Down Payment

Last date to apply

June 17, 2024

Fees per semester

Post Graduate Diploma in Business Analytics Video

Programme Highlights

This programme is of 2 semesters and can be pursued only by working professionals. You can pursue the programme without any career break.
The programme will also enable working professionals to attend contact classes from anywhere over a technology-enabled platform. The contact classes will be conducted mostly on weekends or after business hours.
The programme offers exposure to state-of-the-art data analysis/ visualization tools such as R, Python and Tableau.
Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques.
The students are provided with ample opportunities to visit the Campus and practice some assignments during the Open Lab Weeks
The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work integrated activities.
Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.

UGC Approval

BITS Pilani is an Institution of Eminence under UGC (Institution of Eminence Deemed to be Universities) Regulations, 2017. The Work Integrated Learning Programmes (WILP) of BITS Pilani constitutes a unique set of educational offerings for working professionals. WILP are an extension of programmes offered at the BITS Pilani Campuses and are comparable to our regular programmes both in terms of unit/credit requirements as well as academic rigour. In addition, it capitalises and further builds on practical experience of students through high degree of integration, which results not only in upgradation of knowledge, but also in up skilling, and productivity increase. The programme may lead to award of degree, diploma, and certificate in science, technology/engineering, management, and humanities and social sciences. On the recommendation of the Empowered Expert Committee, UGC in its 548th Meeting held on 09.09.20 has approved the continued offering of BITS Pilani’s Work Integrated Learning programmes.

Programme Curriculum

First Semester
Second Semester
Quantitative Methods
Data Visualization and Communication
Advanced Statistical Methods
Foundations of Data Science
Predictive Analytics
Analytics for Competitive Advantage
Financial Analytics
Project Management
Analytics for HR
Models in Marketing
Supply Chain Analytics
Analytics for Marketing
Analytics for Retail Industry
Operations Research Models
Analytics for Investment Banking
Financial Risk Models
Analytical Models in Finance

Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.

For detailed programme curriculum, download the brochure.

Mode of learning.

The Mode of Learning used in this programme is called - Work Integrated Learning. Internationally, Work Integrated Learning (WIL) is defined as "An educational approach involving three parties - the student, educational institution, and employer organization(s) - consisting of authentic work-focused experiences as an intentional component of the curriculum. Students learn through active engagement in purposeful work tasks, which enable the integration of theory with meaningful practice that is relevant to the students' discipline of study and/or professional development*.

An education model can be considered as WIL if and only if:

The programs are designed and developed by the institute in collaboration with industry.
Work-focused experiences form an active part of the curriculum.
The program structure, pedagogy and assessment enable integration of theory-with relevant practice.

The innovative Work Integrated Learning Programs (WILP) of BITS Pilani are quite aligned with the above definition and requirements. The programs are designed in collaboration with its industry partners, subject matter experts from industry and academia that enable the students to remain relevant in their chosen profession, grow in their career and retain the habit of lifelong learning. The continued availability of workplace related experiences along with the weekly instruction sessions promote integration of theory with practice. An active participation of the organization mentor in the learning process of the student plays a key role. Case studies, simulation exercises, labs and projects further strengthen this integration.

The WILP of BITS Pilani is comparable to its campus-based programs in terms of structure, rigor, instruction, labs, assessment, faculty profile and learning support. The pervasive adoption of technology in all its academic processes makes the same high-quality education of BITS Pilani available to the aspirants at scale with the required flexibility.

Key Benefits of BITS Pilani WILP

1) Can pursue the programme without any career break and along with the job.

2) The programme curriculum is highly relevant to sectors, industries and organisations they work for

3) In addition to the institute, the learning experience of working professionals in the programme is also supported by the employer organisation and Industry Mentors.

4) Effective use of technology to deliver a range of learning interventions at the location of the working professional such as faculty contact sessions, asynchronous learning materials, remote, virtual and cloud labs, Learner support, peer to peer collaboration etc.

5) Contact sessions with faculty take place mostly over weekends or after business hours and are conducted over a technology platform that can be accessed from anywhere.

6) Mid semester and End semester examinations for every semester are conducted mostly at designated examination centres distributed across the country (for details refer to link mode of examinations)

7) Learners can access engaging learning material which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in classroom in simulated, and real work situations.This is achieved through:

Data analysis/ visualization tools such as Linear Optimization, Descriptive Statistics, Multivariate Analysis, Machine Learning & Mining Algorithms using R, Python, Excel and Excel Solver
Controlled experiments are performed in Remote Labs, accessing physical lab equipment using remote control systems.
Real-life scenarios are replicated using simulation games and video-cases, where learners experience implications of applying concepts in practice

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

CASE STUDIES AND ASSIGNMENTS

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

Remote Labs

The students enrolled in the WILP programs have remote access to the labs in the areas of finance, analytics, and general management. These labs play a vital role in enhancing student engagement and enriching the “learning by doing” which has been the cornerstone of BITS Pilani WILPD programs.

Analytics Lab

The Analytics Lab hosts software packages such as Tableau, SPSS, Stata, @risk, StatTools, Eviews, Anaconda Navigator, R, Python,Tora fered in our management programs. This lab enables the students to perform descriptive, predictive, and prescriptive analytics related to all the functional areas of finance, marketing, supply chain management, HR management, etc. The lab has an adequate suite of packages to equip the students to work on different types of data- numeric or text, structured or unstructured.

Finance Lab

The Finance Lab hosts state-of-the-art Bloomberg Terminals that capture real-time information about the financial markets as well as the financial statements and valuable business information of the industry. The databases such as "Prowess” are also made available to the students so that they can download the information of various companies, sectors, and economies; and can undertake projects related to financial accounting, management accounting, corporate finance, derivatives trading, portfolio optimization, equity research, behavioral finance, and fintech among others. The Lab also hosts a simulation on working capital management that gives the students rich experience in managing the working capital and increases their absorption through experiential learning.

Management Lab

The Management Lab is equipped with software, simulations and digital resources that students can leverage in core areas of management. The simulations help improve the decision-making skills, business competence and integrating the application of learnings from various courses. With the Microsoft Project software, the students would be able to plan, schedule, track, collaborate to successfully execute projects, With the HSTalks Business & Management collection, students get access to the digital collection of professionally produced multimedia lectures, case studies, interviews, and peer-reviewed journals by renowned authorities in diverse subject areas such as Global Business Management, Finance, Accounting, Economics, Marketing & Sales, Strategy, Technology, and Operations.

Mode Of Examination

Mode of Examinations applicable for students admitted in Batch starting in July 2024 :

Semester 1, 2 have Mid-Semester Examinations and Comprehensive Examinations for each course. These examinations are mostly scheduled on Friday, Saturday or Sunday. Students need to appear in person for taking the examinations at the institution’s designated examination centres as per the examination schedule, Instructions, rules and guidelines announced before every examination.

Students can take their examination at any of our 32 designated examination centres in India at the following locations:

South Zone : Bangalore - North, Bangalore - Central, Bangalore - South , Bangalore - East, Chennai - North , Chennai - Central , Chennai - South , Hyderabad, Secunderabad, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram and Coimbatore.

North Zone : Delhi, Gurugram, Noida, Jaipur, Chandigarh, Lucknow and Pilani.

West Zone : Mumbai, Navi-Mumbai,Pune, Pune - Pimpri Chinchwad, Goa, Ahmedabad, Indore and Nagpur.

East Zone : Kolkata, Guwahati and Jamshedpur.

In addition to these locations, the Institution also has a designated examination centre in Dubai.

During these semesters, in addition to the above mentioned Mid-Semester and Comprehensive examinations, there will also be Quizzes/Assignments conducted online on the Learning Management System (LMS) as per the course plan in which the students need to participate.

Eligibility Criteria

To apply, candidates must possess one of the following qualifications:

Employed professionals holding B.E./ B.Tech./ M.Sc./ Integrated First Degree of BITS or its equivalent with at least 60% aggregate marks, and minimum one year relevant work experience after the completion of the degree OR
Employed professionals holding a three year undergraduate degree such as B.Sc./ B.Com./ BCA or equivalent with at least 60% aggregate marks, and having studied at least one course in mathematics or statistics at the high school or higher level, and minimum two years of relevant work experience after the completion of the degree

Fee Structure

The following fees schedule is applicable for candidates seeking new admission during the academic year 2024-2025.

Application Fees (one time) : INR 1,500
Admission Fees (one time) : INR 16,500
Semester Fees (per semester) : INR 66,750

Fee Payment Schedule:

Block Amount: INR 25,000 (payable within 7 days of receipt of provisional Admission Offer Letter
Remainder Programme Fee: INR 2,00,000 (payable within 15 days of receipt of Final Admission Offer Letter)
Pay fee in easy EMIs of INR 13,333 with 0% interest. Click here to know more.

The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay INR 83,250/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Option to pay fees using an easy EMI with 0% interest and 0 down payment. Click here to learn more.

Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

For the examination centre at Dubai, in addition to the semester fees, for each semester there will be an examination centre fees of 1000 UAE Dirhams or equivalent per semester out of which 500 UAE Dirhams is to be paid at the time of appearing in Mid-semester examinations at Dubai Centre for that semester and the remaining 500 UAE Dirhams is to be paid at the time of appearing in comprehensive examinations at Dubai centre for that semester.

All the above fees are non-refundable.

Important : For every course in the program institute will recommend textbooks, students would need to procure these textbooks on their own.

How to Apply

Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.
Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press ‘Submit’ button given at the bottom of the form.
Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.
Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani.

In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their HR/ other authorised organisational representative. Such candidates may instead request an email approval to be sent to their official email ID by the HR using the format available through this link .

Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

Who is a Mentor:

Candidates applying to Work Integrated Learning Programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. Wherever the proposed Mentor is not from the same employing organization as that of the candidate, a supporting document giving justification for the same should be provided by the candidate’s employer.

Candidates applying to B.Tech. programmes should choose a Mentor who is an employed professional with B.E./ B.S./ B.Tech./ M.Sc./ A.M.I.E./ Integrated First Degree of BITS or equivalent

Candidates applying to M.Tech., M.Sc., MBA, M.Phil programme should choose a Mentor who is an employedprofessional with:

B.E. / M.Sc. / M.B.A. / M.C.A. / M.B.B.S. etc. and with a minimum of five years of relevant work experience

M.E./ M.S./ M.Tech./ M.Phil./ M.D./ Higher Degree of BITS or equivalent

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their Mentor. Such candidates may instead request an email approval to be sent to their official email ID by the Mentor using the format available through this link .

Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
Make photocopies of the documents mentioned in this Checklist.
Applicants are required to self-attest all academic mark sheets and certificates.
Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are DOC, DOCX, PDF, ZIP and JPEG.
Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.

Featured Faculty

Prof. Sandeep Kayastha

Prof. Sandeep Kayastha is an Associate Professor in off-campus programs.

Prof. Sandeep Kayastha is an Associate Professor in off-campus programs. He completed his MTech from IIT Kharagpur. Prof Sandeep teaches MBA level courses in Operations Management and allied areas, and conducts Management Development Programs for senior executives in the manufacturing industry. Before joining BITS he worked as a faculty member in several leading educational and research institutes of the country.

Sandeep Kayastha is an active researcher. His current areas of research are marketing and contract law, workload reduction, simulation, and history of technology.

Prof. Krishnamurthy Bindumadhavan

Prof. Krishnamurthy Bindumadhavan is an Associate Professor and Group Leader ...

Prof. Krishnamurthy Bindumadhavan is a Professor and Group Leader of the Management Group, Off Campus Programs at Birla Institute of Technology and Science, Pilani. He is based out of Hyderabad. Prof. Bindumadhavan is a Fellow of IIM, Kashipur (equivalent to PhD), CFA charterholder from CFA Institute, USA and FRM titleholder from GARP, USA. He also holds an MBA from University of Kentucky, USA and an Undergraduate Degree in Engineering. He has over 15 years of international experience in the banking and financial services industry, including 8 years with Capital One, a top 10 US bank, based out of Richmond, Virginia. In addition to working for a bank he has also worked as a consultant, entrepreneur and faculty among other roles. He is very passionate about teaching and joined BITS, Pilani in December 2014.

Prof. Ramesh Venkatraman

Prof. Ramesh Venkatraman is an Associate Professor in the Management Group, Off Ca...

Prof. Ramesh Venkatraman is an Associate Professor in the Management Group, Off Campus Work Integrated Learning Programmes, at BITS Pilani. He is based out of Chennai. Prof. Ramesh holds an MBA from IIT-Madras and BE in Electronics & Communication Engineering from CIT-Coimbatore. He is also a Certified Software Quality Analyst (CSQA) from QAI-USA, Certified in Risk and Information Systems Control (CRISC) and Certified Information Systems Auditor (CISA) from ISACA-USA. He has over 17 years of post-MBA experience in the IT Services industry in leadership roles in organizations such as Infosys, Xansa, HP, and LTI. He has successfully led many initiatives in the areas of Quality Management, Risk Management, IT Service Management, and Delivery Excellence. He is a professional member of ISACA and SPIN. He is passionate about teaching and joined BITS Pilani in January 2021.

Student Speak

Shruti Kothadia

Sanjay Gupta speaks about his experience with the programme

Paroma Sinha speaks about her experience with the programme

1. Is this programme approved by UGC?

Yes, UGC has approved the continued offering of Post Graduate Diploma in Business Analytics as a part of WILP on the recommendations of Empowered Expert Committee. Click here to learn more.

2. Who can apply to this programme?

This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. refer to the programme eligibility criteria.

3. How are classes conducted?

Contact classes are conducted over a technology enabled platform. These classes can be attended via the internet using a computer from any location. These contact classes offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. These are conducted usually over weekends or after business hours for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

4. What kind of certificate will I receive at the end of the programme?

Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani.

Post Graduate Diploma in Business Analytics

5. How will exams be conducted?

Each semester has a Mid-semester Exam and a Comprehensive Exam for each course, which are conducted over weekends. Students will need to appear in-person to take these exams at exams centers in the following locations:

India Centers:

International Centers: Dubai

In case students are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams.

6. Will I be able to interact with the faculty members?

The programme provides a high degree of interactivity between students and the faculty members and programme instructors. Q&A sessions during the contact classes (which you can attend from anywhere over a technology enabled platform) allow participants to pose questions to the faculty members, and seek guidance through voice and chat. Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards.

7. How will I be able to run experiments and access labs for this program?

The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience. Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs. Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge

8. Who is a Mentor? Will BITS Pilani help me find a mentor?

Candidates applying to the programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. For detailed information, please refer to the programme brochure. Kindly note that BITS Pilani does not assign Mentors to programme participants.

9. Do I need to visit a BITS campus during the programme?

The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory.

Industry Endorsements

Ravi Shankar Singh, & Kiran Narendra speak about the collaboration between BITS Pilani & Tata Motors

Kalyani Shekar & Dr Jose from Verizon speak about the partnership between BITS Pilani & Verizon

Markus Bel, Pooja Suresh, & Zoya Kapoor speak about the collaboration between BITS Pilani & SAP

Apparao VV and Sanjay Gupta, EVP HCL Technologies speak about BITS Pilani & HCL collaboration

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PGDM (Executive)
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Post Graduate Certificate in Business Analytics

Approved by aicte, ministry of education, government of india.

Key Information
Program Details
Fee Details

Download Brochure

Not Just a Certification, It is Govt Approved Post Graduation (Credit based, approved by AICTE, Ministry of Education) Admissions open for June 2024 session. Apply now !

“Contact us at +91 9250127573; [email protected] to know more OR book a free slot with our Business Analytics experts ”

Business Analytics Overview

Business Analytics is the combination of skills, technologies, applications and processes used by organisations to gain data-driven insights. These insights can be used to aid decision-making across functional areas and industry sectors. Evolving technology and extensive data floating in verticals like sales, marketing, finance, HR, operations, SCM and Social media etc., has made data analysis imperative for the organisations. It helps organisations to understand and predict patterns, forecast, monitor and optimize its processes.

About the Programme

The demand of Analysts and Data Scientists in the industry has increased tremendously in recent past. Considering this growing demand, AIMA has come up with a comprehensive, Post Graduate programme in Business Analytics. The programme is approved by AICTE, Ministry of HRD and also certified by leading software analytical company – SAS. The curriculum of the programme is designed by academicians and endorsed by industry experts. The programme offers a unique feature of data analysis through a browser based GUI called STATCRAFT for the ease of Data Analysis which eliminates the need to write, lengthy and complex codes in R. The online live lectures are held at weekends; so that, the students can learn new data science skills without any compromise to their professional commitments. These lectures are delivered by the senior professors and experienced professionals and trainers from the industry. To enroll for this programme, students do not require to have any prior learning knowledge or experience of analytics and programming languages. The programme gives an ultimate data analytics experience from scratch to advanced level, thereby making the students industry ready.

Programme Objectives

The programme aims to provide the following to the students:

In depth training on data interpretation and analysis to take informed decisions.
Industry-relevant skills required by Big Data Analysts, Business Analysts and Data Specialists.
In depth knowledge of Big Data platforms as per the industry requirements.
Training on most demanded programming languages R, SAS, Tableau etc.
Training on tools used for Data Analysis like Hadoop, Map Reduce, YARN, Hive, Pig etc.
Training to work on integrated projects to solve Business Analytics problems.
Imparting skills and knowledge on smart data analysis & preparing them to secure various international certifications in the field of analytics.

Programme Highlights

Concepts explained from scratch to advanced level, thereby making the students industry ready.
Hands-on learning with R, Tableau, SAS programming, Predictive modeling and various tools like Hadoop, Map Reduce, YARN, Hive, Pig and many more.
In-depth learning of Data Visualization, Machine Learning and Data Mining.
Option to select 1 elective from: Marketing Analytics or HR Analytics or Fraud analytics.
3-Months Capstone Project or On the job training with placement assistance
Online Live classes at weekends with practice sessions
Access to recorded lectures 24X7 through LMS
Case studies based learning to make the students understand the concepts and industry expectations
Provision of browser based GUI, STATCRAFT for the ease of Data Analysis which eliminates the need to write, lengthy and complex codes.
Experienced faculty from the industry.
200 hrs comprehensive training (135 hrs live classes, 25 hrs of online recorded sessions and 40 hrs of capstone project)
70% practical and 30% theoretical learning
Complimentary AIMA student Membership
Free access to AIMA Library and Pearson Digital Library
Hard Copy study material and books provided
Live projects and assignments
Certificate awarded on completion of programme: Post Graduate Certificate in Business Analytics (Approved by AICTE, Ministry of HRD)
The programme is specifically designed for working professionals and fresh graduates, who want to make advancement in their career and job prospects through the most sought, Business Analytics & Data Science skills.
This programme also useful for those professionals who need to understand and get meaningful insights from the organisational and sectoral data.
Professionals/Organisations in Telecom, Banking, IT Consultancy, Retail & Healthcare who want themselves/their employees to be proficient in Business and Data Analysis.

Class Schedule

Classes are held on Saturday/Sunday. Class timings are updated on student portal, AIMA website and students groups.

Project Work / on the Job Training

The students will be given the opportunity to either work on a term end capstone project in any functional areas from Banking, Finance, Marketing, Human Resources etc. covering business analytics problems or models of real world, based on predefined project area in virtual lab or an internship/live project of 3 months in Business Analytics.

Assessment & Evaluation Process

The assessment process is divided into 2 levels.

Modular Assessment: Based on assignments and projects, practical’s - 70%
Final assessment: Term end assessment covering all subjects - 30%

At the end of the programme, the student will face an online examination of 1 1/2 hour duration for each subject.

Job Roles expected after this Programme

All India Management Association (AIMA), as the national apex body of management profession in the country is committed to enhancing the competence of management profession through its multifaceted activities. AIMA has a broad base of 68 Local Management Associations including two cooperating LMAs abroad, with a membership of over 30,000. AIMA is represented on the Boards of India's premier Business Institutions and also represented on Boards of Government bodies including the AICTE, National Board of Accreditation, National Productivity Council to name a few. In addition, AIMA brings to the Indian managers, the best management practices and techniques through numerous foreign collaborations with professional bodies and institutions.

SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep its customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions and drive relevant change.

Sample Certificate

Ekta Nayyar

Assistant director- center for management education, all india management association (aima).

15 Link Road, Lajpat Nagar – Part III, Near Lajpat Nagar Metro Station, New Delhi – 110024

Mobile : +91 9250127573

Ph: +91 011-47673000 / 49868399 Extn:- 732

Email : [email protected] ; [email protected]

Website : www.aima.in

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Introduction to Analytics with R and Python
Data Analysis using R and Python
Introduction to Big Data
Advanced Analytics using R and Python (Predictive Modeling)
Base SAS Programming
Data Visualisation using Tableau
Machine learning
Data Mining
Marketing Analytics
HR Analytics
Fraud Analytics

Payment Options

For first module pay, at the time of admission and for the subsequent module, before the commencement of classes.

One-time registration fee of ₹ 1,000 will be charged at the time of admission
The fee above is inclusive of all academic charges, study material cost, online course content, LMS, Digital Library, amongst other facilities provided by AIMA. All fees paid are non-refundable.
Programme Codes for Admission Form: P38 for Installment option or P39 for Lump sum option

Specializations Offered

P21 - PGCM Digital Marketing & Strategy

P38 & P39 - PGCM Business Analytics

P50 & 51 - PGCM Entrepreneurship and Family Business

P29 - PGCM International Business

P35 - PGCM Finance

P31 - PGCM Human Resource Development

P33 - PGCM Marketing

P27 - PGCM Operations System

P23 - PGCM Retail Management

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Post Graduate Diploma in Business Analytics (PGDBA)

Mr. Biman Dey Sarkar Dean's Office Indian Statistical Institute 203 B.T. Road Kolkata 700108 [email protected] --> Email: [email protected] Phone: 033-25752521

Programme Overview

The Post Graduate Diploma in Business Analytics (PGDBA) – jointly offered by ISI, IIT Kharagpur and IIM Calcutta – aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field.

PGDBA is a two-year full-time residential diploma programme aimed at creating business analytics professionals employable by leading Indian and foreign firms. This programme is designed for those who have an analytical mindset, are interested in tackling challenging business problems, and possess an inclination towards mathematics. Some of the salient features of the programme include courses taught by reputed faculty members at the campuses of three globally renowned institutes, hands-on business analytics training at a related company, continuous interaction with industry leaders throughout the course of the diploma programme, and the availability of placement opportunities at all the three institutes jointly offering this programme.

IndustryWired

PhD in Business Analytics in 2024

Navigating a PhD in Business Analytics: Your Path to Academic Excellence In 2024

In today’s data-driven world, businesses rely heavily on analytics to make informed decisions and gain a competitive edge. As the demand for skilled professionals in this field continues to rise, pursuing a Doctor of Philosophy (PhD) in Business Analytics presents a compelling opportunity for those seeking to advance their careers and contribute to cutting-edge research. This article serves as a comprehensive guide to navigating the journey of obtaining a PhD in Business Analytics in 2024.

Understanding Business Analytics

Business Analytics is a multidisciplinary field that combines elements of data science, statistics, computer science, and business management to analyze data and extract valuable insights for decision-making. It encompasses a wide range of techniques, including data mining, machine learning, predictive modeling, and optimization.

Assessing Your Readiness

Before embarking on a PhD in Business Analytics, it’s essential to assess your readiness and suitability for doctoral-level research. Consider the following factors:

Educational Background: A strong foundation in mathematics, statistics, computer science, or a related field is essential.
Research Experience: Prior research experience, such as a master’s thesis or participation in research projects, can provide valuable preparation for doctoral studies.
Career Goals: Clarify your career goals and how a PhD in Business Analytics aligns with them. Are you passionate about research, academia, or industry leadership?

Choosing the Right Program

Selecting the right PhD program is critical to your success. Factors to consider include:

Program Reputation: Look for programs with a strong reputation for research excellence and industry relevance.
Faculty Expertise: Investigate the faculty member’s areas of expertise and research interests to ensure alignment with your own.
Resources and Facilities: Assess the program’s resources, including access to data, computational resources, and industry partnerships.
Program Structure: Consider the program’s curriculum, course offerings, and opportunities for interdisciplinary collaboration.

Preparing Your Application

The application process for PhD programs in Business Analytics typically involves:

Transcripts: Submit official transcripts from all undergraduate and graduate institutions attended.
Letters of Recommendation: Obtain letters of recommendation from academic or professional references who can attest to your research potential and qualifications.
Statement of Purpose: Write a compelling statement of purpose outlining your research interests, career goals, and why you are a strong candidate for the program.
Standardized Tests: Some programs may require GRE or GMAT scores, although many are moving towards test-optional policies.
Interviews: Prepare for interviews, if required, by familiarizing yourself with the program and articulating your research interests and goals.

Navigating the PhD Journey

Once admitted to a PhD program, the journey begins. Here are some tips for success:

Build Relationships: Forge strong relationships with faculty mentors and fellow students to foster collaboration and support.
Research Opportunities: Take advantage of research opportunities, including assistantships, internships, and collaborations with industry partners.
Publish and Present: Share your research findings through publications and presentations at conferences to contribute to the academic community and build your professional reputation.
Network: Attend conferences, workshops, and networking events to connect with professionals in academia and industry.

Contributing to the Field

As you progress through your PhD program, aim to make meaningful contributions to the field of Business Analytics. This may involve conducting innovative research, publishing influential papers, and applying your findings to real-world problems in business and society.

Pursuing a PhD in Business Analytics in 2024 offers a pathway to academic excellence, professional growth, and contributions to the rapidly evolving field of data-driven decision-making. By understanding the nuances of doctoral studies, selecting the right program, and actively engaging in research and scholarship, you can position yourself for success in academia, industry, and beyond.

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Best Ph.D Business Analytics Colleges in India
Check out list of top Ph.D in Business Analytics colleges in India with courses, fees, cut-off, admission, placement, reviews, ranking, latest news, and more on careers360.com.
Ph.D in Business Analytics at K J Somaiya Institute Mumbai, India
The research Area include in Business analytics are Statistics, Quantitative Techniques, Operation research, and optimization, Big Data Analytics, Business Analytics and Data Mining. Financial Aid. Help & Support. [email protected]. +91 70282 33777. WhatsApp Chat.
Doctoral Programme (Ph.D)
Master of Business Administration (Business Analytics), (MBA(BA)), Two-year fulltime programme (PGP-BA) ... I truly believe that the PhD programme at IIM Bangalore will shape us into scholars who will contribute to organizations and society through research. ... India Pin Code : 560076 Phone No: +91-80- 26993000 / 26582450. Connect with us ...
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Ph.D Business Analytics
Phd In Business Analytics; Ph.D Business Analytics. Ph.D Business Analytics. This programme is designed to help young learners gain and apply knowledge of management theories and practices to solve business problems; foster analytical and critical thinking abilities for data-based decision making and ability to develop value based leadership ...
44 Top Postgraduate Data Science Courses In India
Analytics India Magazine considered five different parameters for computing the ranking of Analytics or Data Science Programs — Certification Value, ... Praxis Business School's Post Graduate Program in Data Engineering scores the highest student engagement score (0.87) by a considerable margin. Students have to go through an interview ...
Top M.Phil/Ph.D in Management in Business Analytics Colleges in India
> Business Analytics Colleges; List of M.Phil/Ph.D in Management in Business Analytics Colleges in India Based on 2024 Ranking. All Filter. Previous. Sub Stream State Stream City Course Program Type Type Of College Avg Fee Per Year Course Type Agency Affliation Approval Course Duration College Category STUDY MANAGEMENT ABROAD Gender Accepted.
PDF Post Graduate Programme
Post Graduate Programme in Management in Business Analytics (PGPBA) is a newly launched full-time MBA programme at IIM Bangalore. The selection process for PGPBA is same as PGP, which is based on CAT percentile score, academic background, diversity considerations, and personal interviews. The students of this course have been given inputs
IIMA
Ph.D. Programme in Management at IIMA consists of 11 different areas of high levels of specialization of Management. It prepares students to pursue a career, which requires high scholastic aptitude and academic research. The programme is primarily designed to help students seek research careers in academia or elsewhere.
5 Indian Institutes Offering PhD In Data Science
3. IISc Bangalore : 4. IIT Delhi : 5. BITS Pilani : Here are some institutes that currently have their applications open for a PhD in India. 1.Indian Statistical Institute (ISI): The PhD program at ISI provides the students with an exceptional academic environment through a variety of educational and research opportunities.
All PhD in Business Analytics Programs
Tuition-Driven PhD Programs. You'll occasionally run into a doctoral program in business analytics that is tuition-driven. That means the university expects you to pay for the degree by yourself. A PhD in this category could cost between $50,000-$96,000.
Masters in Data Science and Business Analytics Program
The curriculum covers a wide range of topics, including data mining, machine learning, statistical modeling, big data, and more. The Masters in Data Science and Business Analytics program is an ideal choice for individuals looking to advance their careers in this rapidly growing field. Graduates will be equipped with the skills and knowledge ...
Post Graduate Program in Business Intelligence & Analytics
Post Graduate Program in Business Intelligence and Analytics is curated to give business professionals the abilities and information necessary to thrive in the modern, data-driven business environment After completion of this program, participants in a PGBIA program should be able to. Use data analytics tools and techniques to solve real-world business challenges
Post Graduate Diploma in Business Analytics (Pgdba)
About The Programme. The Post Graduate Diploma in Business Analytics (PGDBA) - jointly offered by IIM Calcutta, IIT Kharagpur and ISI - aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field.
PGDBA
Indian Institute of Management Calcutta. Diamond Harbour Road, Joka, Kolkata 700104. Phone: +91 33 7121 1201, 1202. Email : pgdba [at]iimcal [dot]ac [dot]in. The Indian Institute of Management Calcutta (IIMC) was established as the first national institute for Post-Graduate studies and Research in Management by the Government of India.
PhD After MBA in India: Eligibility, Benefits, Salary, PhD Abroad 2022
To pursue Ph.D. after an MBA in Commerce and Management, a candidate must hold a masters' degree, MBA, or MPhil with a minimum aggregate of 55%. Candidates can seek employment in leading sectors such as Finance, Management, Commerce, etc. with an average salary of INR 3,00,000 - INR 40,00,000. Program Name.
Post Graduate Diploma in Business Analytics
As per a report by Allied Market Research, the Global Big Data and Business Analytics Market is expected to grow at a CAGR of 10.9% to reach $420 Billion by 2027. Be an expert Business Analyst with BITS Pilani Post Graduate Diploma Programme in Business Analytics.
Post Graduate Certificate in Business Analytics
Considering this growing demand, AIMA has come up with a comprehensive, Post Graduate programme in Business Analytics. The programme is approved by AICTE, Ministry of HRD and also certified by leading software analytical company - SAS. The curriculum of the programme is designed by academicians and endorsed by industry experts.
Top MBA/PGDM in Business Analytics Colleges in India
Top 526 MBA/PGDM in Business Analytics Colleges in India by Fees, Ranking, Admission and Placement. Select Goal & City. Select Goal. Search for Colleges, Exams, Courses and More.. Write a Review Get Upto ₹500* ... PG Diploma in Management Business Analytics CAT 2023 Cutoff : 75
Post Graduate Diploma in Business Analytics (Pgdba)
The Post Graduate Diploma in Business Analytics (PGDBA) - jointly offered by ISI, IIT Kharagpur and IIM Calcutta - aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field. PGDBA is a ...
PhD in Business Analytics in 2024
Pursuing a PhD in Business Analytics in 2024 offers a pathway to academic excellence, professional growth, and contributions to the rapidly evolving field of data-driven decision-making. By understanding the nuances of doctoral studies, selecting the right program, and actively engaging in research and scholarship, you can position yourself for ...