Building Analytics-Driven Leaders for the Digital Economy
The MBA in Business Analytics offered by BITS Pilani is a comprehensive graduate-level programme that provides students with the necessary skills to leverage data-driven methods for making appropriate decisions. It combines core management training with advanced quantitative modelling, analytical thinking and industry-oriented learning. The curriculum and experiential approach to the course offer opportunities for students to build technical skills and problem-solving ability. This will also develop a deeper understanding of how to analyse as well as interpret data from different contexts and apply those insights to a variety of industries.
Design a Degree That Works for You
At BITS Pilani, your academic path is not Linear. It allow you to customise your learning path
according to your aspirations, goals and interest.
The structure of degree programmes and academic regulations also provides certain other flexibilities like choice of electives, number of electives, repetition of courses, departure from normal pace, withdrawal from or substitution of course(s), etc.
Students interested in exploring courses beyond the scope of their curriculum can opt to audit them. This option is for casual learners who are not enrolled in a degree programme.Courses such as Foreign Languages and Music are offered in addition to the core degree programmes. Students may take these courses on an audit basis, subject to the payment of additional fees.
High-performing students may transfer to:
Higher Degree or Ph.D. programmes
Between Ph.D. and Higher Degree levels (based on academic standing). This flexibility supports seamless progression for research-driven students.
One of the most popular flexibilities offered by our educational structure is the dual degree scheme, under which students concurrently work towards completing two integrated first degrees within a reasonable timeframe. All students admitted to Group B programmes are also eligible to work under this scheme for one of the Group A programmes. Assignments to programmes are made based on individual performance during the first year.
In the assignment of dual degrees, first priority is given to students in Group B seeking a second degree under this scheme from among the programmes in Group A. After fully satisfying the known needs of the first priority, a second operation is done to consider the other priority, namely, students in any group seeking a second degree from amongst the programmes in another group. While it would be academically and procedurally acceptable for a student admitted to Group A or B programmes to seek a second degree in Group C in the dual degree scheme, the reverse process is not normally possible. However, a student admitted to Group C will be eligible to compete for a dual degree in any degree in Group C, or any degree in Group B or MMS, but only in Group A.
Practice School
The Original Experiential Learning Model
The Practice School Programme is a hallmark of BITS Pilani’s experiential learning approach. It provides students with an opportunity to practice what they have learnt in global organisations under the supervision of a mentor. Students work on cutting-edge technologies and have the option to practice in their discipline of study or cross-disciplinary areas. In addition to providing students with an opportunity to play roles that require multifunctional skills, this flagship programme also offers many students the chance to secure a PPO.
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Practice School-I
Practice School I is an eight-week course conducted during the summer term after the second year of study. Students are stationed in an organisation during this programme, and after a comprehensive orientation, students largely learn through observation and work on group projects, under the guidance and mentorship of industry experts and a faculty member from BITS. This not only serves as a first exposure for students to the corporate world but also helps nurture their personality traits, communication, and presentation skills.
Practice School-II
Practice School-II offered in the final year of study is a TWENTY-TWO-week full-time program. First-degree students in their final year of study can register for this program either during the first semester or the second semester, and Dual-Degree students can register for a double-semester PS-II program. For higher degree students, the course is titled Practice School, and such students can register for it in their final semester of study.
Practice School Process
Practice School I is an eight-week course conducted during the summer term after the second year of study. Students are stationed in an organisation during this programme, and after a comprehensive orientation, students largely learn through observation and work on group projects, under the guidance and mentorship of industry experts and a faculty member from BITS. This not only serves as a first exposure for students to the corporate world but also helps nurture their personality traits, communication, and presentation skills.
Programme Structure
Focus:Building strong foundations in management principles and analytical techniques, integrating economics, finance, operations, data management and predictive analytics for data-driven decision-making.
Courses :
- Managerial Economics
- Strategic Management
- Financial Statement Analysis & Reporting
- Corporate Finance
- Marketing Management
- Operations & Supply Chain Management
- Managing People & Organization
- Statistics & Basic Econometrics
- Programming for Analytics
- Data Management and Warehousing
- Data Visualisation, Ethics and Data Privacy
- Time Series Analysis and Forecasting
- Predictive Analytics
- Elective Pool I
Focus:Advancing expertise in deep learning and prescriptive analytics, while applying analytical skills through research or industry immersion and specialised electives.
Courses :
- Deep Learning for Business
- Prescriptive Analytics with Mathematical Programming
- Dissertation or Practice School
- Elective Pool I & II
Cutting-Edge Research Labs Shaping the Future of Biotechnology
Molecular Biology Lab (MBL)
Bioinformatics Research Lab
Software Defined Networking Laboratory
Microscopy Room
Green House Lab
Vector Biology (Insectary) Research Lab
Learn From Faculty With Sharp Business Analytics Instinct
Dr. Aariz Faizan Javed
Assistant Professor,
Department of Management Studies
Dr. Aman Srivastava
Professor,
Department of Management Studies
Dr. Anurag Singh
Assistant Professor,
Department of Management Studies