MBA in Business Analytics

The MBA in Business Analytics curriculum is designed to provide comprehensive knowledge and skills required for career advancement in business analytics. The coursework spans four semesters, with the first three semesters covering required coursework and the fourth semester dedicated to a Project. The curriculum blends traditional management fundamentals with specialized analytics courses. First semester courses include Financial and Management Accounting, Managerial Economics, Quantitative Methods, and Managing People & Organizations. Second semester courses include Marketing, Advanced Statistical Methods, Foundations of Data Science, and Strategic Management & Business Policy. Third semester features Financial Management, Predictive Analytics, Analytics for Competitive Advantage, Operations Management, and electives. The fourth semester is dedicated to the Project. Students can choose from a range of electives including 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, and Analytical Models in Finance. The choice of electives is made available to enrolled students at the beginning of each semester, with a limited selection offered at the discretion of the Institute. This allows students to customize their learning experience based on their career goals and interests in specific aspects of business analytics, whether in finance, marketing, operations, or other business domains.

The MBA in Business Analytics programme is designed around a powerful educational approach called Work Integrated Learning (WIL). This internationally recognized approach involves three parties - the student, educational institution, and employer organization - and consists of authentic work-focused experiences as an intentional component of the curriculum. The BITS Pilani Work Integrated Learning Programmes are designed in collaboration with industry partners and subject matter experts, enabling students to remain relevant in their chosen profession. The programme emphasizes experiential learning through exposure to contemporary software packages in the Analytics Lab that can be accessed remotely by students. The Analytics Lab hosts software packages such as Tableau, SPSS, Stata, @risk, StatTools, Eviews, Anaconda Navigator, R, Python, Tora, and PowerBI among others, enabling students to perform descriptive, predictive, and prescriptive analytics related to all functional areas of business. The Finance Lab hosts state-of-the-art Bloomberg Terminals that capture real-time financial market information, along with databases such as "Prowess" for company, sector, and economic information. The Management Lab is equipped with software, simulations, and digital resources for core management areas, including Microsoft Project software and access to multimedia lectures, case studies, and peer-reviewed journals. The curriculum includes continuous assessment through graded assignments, quizzes, mid-semester exams, and comprehensive exams. Carefully chosen real-world cases and assignments are used as problem-solving exercises, and the final semester project allows students to apply their knowledge to complex real-world scenarios.