Master of Science in
Data Science and Management

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COURSE CONTENTS

The programme structure is divided into six trimesters from basic to advanced courses.

The trimester I to trimester IV of the programme will cover the following broad topics:
  • Probability and Statistics
  • Programming and Data Structures
  • Mathematical and Statistical Methods
  • Database Management System
  • Machine Learning: Foundation to Advanced
  • Artificial Intelligence: Foundation to Advanced
  • Research Methodology
  • Managerial Communication
  • Optimization
  • Managerial Economics
  • Organizational Behavior
  • Operations and Supply Chain Management
  • Marketing Management
  • Financial Statements and Financial Management
  • Human Resource Management
  • Strategic Management
  • Information Systems
  • Ethics
  • Legal Aspects of Business
  • Business Analytics
  • Data Visualization and Storytelling
and many more...

In the fourth and fifth trimester, participants will be offered a pool of electives to choose from the advanced courses offered by the two Institutes.

In the sixth trimester, participants will undertake a project under the guidance of faculty expertise from both the Institutes.