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.
Admission Enquiry
Please fill the below fields for fee details, programme information, and application instructions
Student Speak
- Programme Highlights
- Programme Curriculum
- Eligibility
- Fee Structure
- How to Apply
- Mode of Examination
- Teaching Methodology
Programme Highlights
- MBA in Business Analytics is a Work Integrated Learning Programme (WILP) spanning four semesters. BITS Pilani's Work Integrated Learning Programmes are approved by the University Grants Commission (UGC).
- Attend live-lectures from anywhere over an online technology-enabled platform. These live lectures would be conducted by faculty mostly on weekends or after business hours enabling working professionals to pursue the programme along with their jobs.
- 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.
- The students are provided with ample opportunities to visit the Campus and practice some assignments during the Open Lab Weeks
- Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques
- The Project in the final semester enables students to apply concepts and techniques learnt during the programme.
- 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, simulations and work integrated learning activities.
- Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni
- 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
Electives
- 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.
Eligibility
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 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.
Teaching Methodology
Teaching Methodology
The Teaching Methodology is based on a powerful educational approach called Work Integrated Learning. For detailed description of work integrated learning Click here
The benefits of the Work Integrated Learning Mode are as follows:
1) It enables Working Professionals to pursue the programme without any career break and along with their jobs.
2) The programme curriculum is designed for high relevance to sectors, industries and organisations the students are presently employed in.
3) Learning experience design also endeavours to integrate support and value addition by the Industry Mentors and employer organizations.
4) Enables working professionals to attend live-lectures from anywhere over an online technology-enabled platform. For the benefit of working professionals these live lectures are conducted by faculty mostly on weekends or after business hours.
5) Leverages the latest educational technologies to provide easy access to asynchronous learning materials, Learner support services and peer to peer collaboration etc.
6) Great emphasis on experiential learning by providing access to state of the art remote labs, virtual labs and cloud labs and simulations as applicable to individual courses.
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 the exposure to contemporary software packages in the Analytics Lab that can be accessed remotely by the students.
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.
PROJECT
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.