Programme Overview

MBA in Business Analytics is a two-year full-time residential program aimed at creating business analytics professionals employable by leading Indian and foreign firms. The business analytics area makes use of sophisticated quantitative and statistical analysis and predictive modeling towards building competitive strategies around data-driven insights that in turn generate impressive business results. The MBA in Business Analytics program integrates technology with statistical and quantitative modeling techniques to provide students with the foundation needed for data-driven decision making, as well as for graduate study in the field of Business Analytics. The focus of the program is on the application of analytics and Technology in all the functional areas of management, including but not limited to, marketing, finance, operations, human resources, entrepreneurship etc.

Academics

The curriculum of MBA in Business Analytics is globally benchmarked with the leading Business Analytics program across the globe and is vetted by industry practitioners. Lectures supplemented by case studies and software tools are carried out in all the courses which enhance students analytical, problem solving and decision-making skills. This facilitates active learning among the students as they face real business issues, apply their classroom knowledge and strengthen their business acumen. An intellectually stimulating learning environment is provided by our well-qualified and experienced faculty. Students can also pursue Off-campus Thesis / Semester Abroad programs in foreign universities/ institutes ranked in the first 400 by QS and Time Higher Education.

Skills for Industry

The Department of Management facilitates the students to earn certification in 21st century industry-relevant skills such as Design Thinking, Data Visualization, and Project Management Practitioner (PMP). To cater to the expectations of Generation Z students, the department has created the Personality Improvement, Leadership Orientation and Teamwork (P.I.L.O.T.) program to provide customized learning experiences according to their needs factoring in their areas of skill gap, learning preferences and future professional choices.

Alumni

The Mentorship Program for MBA in Business Analytics is an unique initiative by the Department of Management at BITS Pilani to impart industry relevant skills to the students in collaboration with the BITS Alumni Association. Under this program, management students are given an opportunity to interact and mentored by BITS alumni experienced in Analytics domain. Alumni are also frequently called for invited talk to share industry insights with the students.

Industry Connect

At the end of their second semester, student go on a two-month integrated industry exposure in the form of summer internships in reputed organizations. All students also have the opportunity to enroll for 6 months of structured Practice School, as a part of the curriculum. In addition, the webinar series organized by the department invites eminent guests from the industry on a regular basis. These guests having huge experience and unparalleled expertise come from varied industries and diverse countries, contributing to student learning.

Course Structure

Management education at BITS Pilani is anchored in the fundamentals of general management with the latest theories and best practices in the business / corporate world. It builds a basic framework of qualitative, quantitative, analytical, strategic and problem solving skills. In addition, courses on programming, statistics, analytics and deep learning will prepare students to develop solutions and build AI products to solve complex business problems. The pedagogy is specially designed to create a healthy learning environment, a blend of theoretical concepts and practical nuances. An optimal mix of learning methods ensures a holistic personality development of the students as well.

Preparatory Courses

Foundation for Information Systems
Fundamentals of Management
Introduction to Spreadsheet Modelling
Introduction to Data Structures

Semester I

Managerial Economics
Financial Statement Analysis & Reporting
Marketing Management
Managing People & Organization
Statistics & Basic Econometrics
Data Management & Warehousing
Programming for Analytics

Semester II

Strategic Management
Corporate Finance
Operations & Supply Chain Management
Data Visualization, Ethics & Data Privacy
Time Series Analysis & Forecasting
Predictive Analytics
Elective (from Group 1)

Semester III

Deep Learning for Business
Prescriptive Analytics for Mathematical Programming
Elective (from Group 1)
Elective (from Group 2)
Elective (from Group 2)
Elective (from Group 2)

Semester IV

Dissertation or Practice School

List of Electives

Group 1

Advanced Spreadsheet & Macro Programming for Business
Big Data Analytics
Bayesian Analysis
Natural Language Processing For Business
Data Structures & Algorithmic Thinking

Group 2

Analytics for Supply Chain
Supply Chain Finance
Discrete Event Simulation
IT Project Management
Marketing Analytics
Digital Analytics
Pricing Analytics
Retail Analytics
Customer Engagement & Analytics
Marketing Research & Metrics
Financial Analytics
Financial Derivative & Analysis
Financial Modelling & Valuation
Financial Technology
People Analytics
Strategy Analytics
Knowledge Management & Digital Strategy
Critical Product Management