Admission Enquiry

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.

MBA in Business Analytics is a four-semester Work Integrated Learning Programme designed for working professionals, who are aspiring for rapid career progression in the high-growth areas of Business Analytics and Big Data, and wish to stand out in highly competitive workplaces by acquiring a prestigious Master’s degree qualification from a premier institution.

MBA in Business Analytics is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.


Option to submit fee using easy-EMI with 0% interest and 0 down payment.

download brochure

Admission Enquiry

Please fill the below fields for fee details, programme information, and application instructions

Student Speak

  • Programme Highlights
  • Programme Curriculum
  • Learning Methodology
  • Eligibility
  • Fee Structure
  • How to Apply
  • Mode of Examination

Programme Highlights

  1. MBA in Business Analytics is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.
  2. The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break.
  3. The students have access to the state-of-the-art remote labs that can help the students perform data analysis and visualization using latest contemporary software tools.
  4. The students are provided with ample opportunities to visit the Campus and practice some assignments during the Open Lab Weeks
  5. Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques
  6. The Project in the final semester enables students to apply concepts and techniques learnt during the programme.
  7. 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.
  8. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies, simulations and work integrated learning activities.
  9. Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni
  10. Option to submit fee using easy-EMI with 0% interest and 0 down payment.

Programme Curriculum

First Semester

  • Financial and Management Accounting 
  • Managerial Economics 
  • Quantitative Methods 
  • Managing People & Organizations 

Second Semester

  • Marketing 
  • Advanced Statistical Methods 
  • Foundations of Data Science
  • Strategic Management & Business Policy

Third Semester

  • Financial Management 
  • Predictive Analytics 
  • Analytics for Competitive Advantage 
  • Operations Management

Fourth Semester

  • Elective 1
  • Elective 2
  • Project


  • Financial Analytics
  • Project Management
  • Data Visualization and Communication
  • 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

For more information on programme curriculum download the programme brochure.

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.

Learning Methodology


Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

Classes for students admitted during the period Apr 2023 - July 2023 will begin in July / Aug 2023. The class schedule is announced within 1 week of completion of the admission process.

The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.


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


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


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 the exposure to contemporary software packages in the Analytics Lab that can be accessed remotely by the students.

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


The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.


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

  • Employed professionals holding a three year undergraduate degree such as B.Sc./ B.Com./ BCA 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 with minimum two years of relevant work experience after the completion of the degree

Fee Structure

For details on Fee Structure, please click here to download the programme brochure.

How to Apply

For application instructions, programme information and fee structure, please click here to download the Programme Brochure

Mode of Examination

For mode of examinations, please click here to download the programme brochure.

Admissions will begin in October 2023.

download brochure