Graduate program

Master of Management

Analytical foundations. Real problems. The IISc advantage.

About the course

Distinctive Focus

A management education has to do three things: build methodological foundations, develop an understanding of how organisations work, and connect both to the external environment — markets, policy, and public systems. The Master of Management at IISc is designed around all three, with a particular emphasis on analytical rigour. Students complete a hard core in economics, statistics, probability theory, and finance; draw from a soft core of courses across the institute in optimisation, machine learning, and systems modelling; and spend up to six months working on a real problem inside an organisation or policy institution. When AI can run the model, the scarce skill is knowing which model to run, whether to trust it, and what to do when it fails. That is what this programme teaches.

Our core objectives

In the recent years, the Department has received sponsorship for research and consultancy projects

Train students to identify the right analytical approach for a problem and understand how the assumptions built into any model shape the decisions that follow.

Develop the ability to move between the messiness of real organisational situations and the rigour of formal analysis.

Produce graduates who can take responsibility for both the framing of a problem and the quality of the answer.

Course Structure

In the recent years, the Department has received sponsorship for research and consultancy projects

20credits
Hard Core Courses8 × 3
16credits
Soft Core Courses
12credits
Electives
16credits
Project Work
64credits
Total
Course breakdown

Hard core courses

Introductory Probability Theory
Applied Statistics
Operations Management
Marketing Management
Behavioural Science
Managerial Economics
Human Resource Management
Corporate Finance

Business Analytics Stream Core Courses

Operations Research and Optimisation
Data Analytics and Machine Learning
Regression and Time Series Analysis
Financial Instruments and Risk Management
Management Research Seminar Series

Suggested Electives

Network Science and Optimisation (CE/CSA)
Choice Modelling (CE)
Transportation Demand Modelling (CE)
Machine Learning (CSA)
Computational Methods of Optimisation (EE)
Technology for Sustainability
Public Policy Theory and Process
Entrepreneurship for Technology Start-ups
Human Resources Management
Marketing Management
Operations Management
Macroeconomics

Mode of Selection

Written Assessment

Candidates are assessed on analytical reasoning, quantitative ability, and written communication.

Personal Interview

A one-on-one interview to assess academic background, research aptitude, and fit for an analytically oriented management programme.

Apply to the Master of Management

Department of Management Studies, Indian Institute of Science, Bengaluru