Master of Science in Data Science and Management

About Programme

Business problems need to be jointly addressed by managers and data analysts. Decisions based on analytics need to be made by managers, which they can do only if they understand the data science tools and techniques. Generally, the programmes offered in this domain have focused more on some specific tools and techniques while the business context in which these tools have been applied have received less attention. Hence, a comprehensive programme that focuses both on business knowledge and technical expertise is needed. The IIT and IIMs ‘Master’s in Data Science and Management’ programme will provide better education to future data scientists. The programme will cover general concepts on algorithms, data structures, big data infrastructure, big data analytics life cycle, data security and management, contemporary management thoughts including behavior elements.

Programme Objectives

In today’s environment to remain relevant managers and entrepreneurs need to develop data-driven paradigm to solve new classes of problems which we were not able to solve in the past. Data sciences field is having amazing impact on every aspect of our lives and society.
Education in data science is the key to success and IIT and IIM’s Mater of Science in Data Science and Management programme will provide better education to future data scientists. The programme will cover general concepts on algorithms, data structures, big data infrastructure, big data analytics life cycle, data security and management, contemporary management thoughts including behavior elements. There are four pillars to this programme, i.e., Data, Technology, People, Enterprise Strategy. These pillars are constructed to cultivate the much-required skills for data scientists, i.e., leadership skills, communication skills, eye for business and value, project management, big data analytics life cycle, big data technologies and solutions, data management skills, systems thinking.

Course Content:

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:

• Advanced Machine Learning
• Algorithms
• Business Analytics
• Business Research
• Data Structures
• Data Visualization
• Database Management System
• Design Thinking
• Ethics
• Financial Management
• Generating Business Value with Story Telling and Insights
• Human Resource Management
• Information Systems for Managers
• Introduction to AI
• Legal Aspects of Business
• Linear Optimization
• Machine Learning Foundations
• Managerial Communication
• Managerial Economics
• Marketing Management
• Mathematical and Statistical Methods for Data Science – 1
• Mathematical and Statistical Methods for Data Science – 2
• Operations Management
• Organizational Behaviour
• Probability and Statistics
• Programming Fundamentals for Data Science
• Research Methodology
• Spreadsheet Modeling
• Strategic Management
• Supply Chain Management
• Understanding Financial Statements and Functions of Finance

In the 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 also be a part of the project work and will be working under the direction of expert faculty from both the Institutes.