M.Sc. (Online) in Economics and Data Analytics

Economic Sciences

The M.Sc. [Online] in Economics and Data Analytics is designed to equip students and professionals with advanced knowledge at the intersection of economics and data science. The curriculum blends core economic theory with modern analytical tools, enabling participants to address real-world challenges in finance, policy, and business. The program emphasizes hands-on training in software such as R, Python, MS Excel, and STATA, ensuring participants develop both conceptual understanding and technical expertise.

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Curriculum Template

Programme Curriculum
Total Credits
180
9 credits/course
Core Courses
9
81 credits
Elective Courses
11
99 credits

Courses Offered

ECO901E
Core Credits: 9
Microeconomics and Decision Making
Prerequisites: None
ECO902E
Core Credits: 9
Game Theory and Strategic Thinking
Prerequisites: None
ECO903E
Core Credits: 9
Money and Finance Markets
Prerequisites: None
ECO904E
Core Credits: 9
Macroeconomics for Business and Policy
Prerequisites: None
ECO905E
Core Credits: 9
Foundations of Business Finance
Prerequisites: None
ECO906E
Core Credits: 9
Statistics and Data Exploration
Prerequisites: None
ECO907E
Core Credits: 9
Applied Regression Analysis
Prerequisites: Basic understanding of statistics and probability
ECO908E
Core Credits: 9
Development Economics
Prerequisites: None
ECO909E
Core Credits: 9
Impact Evaluation: Methods and Applications
Prerequisites: None
ECO910E
Elective Credits: 9
Contemporary Issues in the Indian Economy
Prerequisites: None
ECO911E
Elective Credits: 9
Mathematical Methods for Data Analysis
Prerequisites: None
ECO912E
Elective Credits: 9
Options, Futures, and Derivatives
Prerequisites: None
ECO913E
Elective Credits: 9
Platform Economics and Business Models
Prerequisites: Basic Microeconomics
ECO914E
Elective Credits: 9
Digital Economics and Market Design
Prerequisites: Intermediate Microecomonics; exposure to basic algorithms desirable
ECO915E
Elective Credits: 9
Machine Learning Applications
Prerequisites: None
ECO916E
Elective Credits: 9
R and Python for Data Analysis
Prerequisites: None
ECO917E
Elective Credits: 9
Economics and Financial Data Analysis
Prerequisites: None
ECO918E
Elective Credits: 9
Environmental Economics and Policy
Prerequisites: None
ECO919E
Elective Credits: 9
Health Economics and Policy
Prerequisites: None
ECO920E
Elective Credits: 9
Public Policy
Prerequisites: None
ECO921E
Elective Credits: 9
Economics and Governance of AI
Prerequisites: None
ECO922E
Elective Credits: 9
Global Economy and International Finance
Prerequisites: None
ECO925E
Project Credits: 9
Project 1
Prerequisites: None
ECO926E
Project Credits: 9
Project 2
Prerequisites: None
ECO927E
Project Credits: 9
Project 3
Prerequisites: None

Eligibility Criteria

  • Minimum CPI 5.5 or 55% marks in the qualifying degree

  • A valid score above department-stated cut-off in approved national-level exams as applicable to the program discipline (GATE/JAM)

or

  • Bachelor’s degree in any discipline
  • Mathematics at the 10+2 level or at least one mathematics course completed during undergraduate studies

The following candidates are exempted from the IITK Online Entrance Test*:

  • Professionals with over 5 years of relevant experience
  • Applicants with valid national-level test scores above the department specified cutoff
  • Candidates nominated ** by Government/Defence/recognized organizations

*The department may conduct an interview/written examination only for those candidates who are exempted from taking the IITK online entrance test for admission in the PG online programs.
** Nominated includes sponsored candidates.

Program Fee

Certificate Format

degree format Click to enlarge

Instructors

Dr. Raghvi Garg
Research Interest:

Microeconomics, Game Theory

Dr. Aditya Vikram
Research Interest:

Microeconomics, Game Theory

Dr. Sukumar Vellakkal
Research Interest:

Macroeconomics, Health Economics

Dr. Sohini Sahu
Research Interest:

Macroeconomics

Dr. Hargungeet Singh
Research Interest:

Foundations of Finance, Mathematical Methods for Data Analysis, Options Futures and Derivatives

Dr. Malabika Koley
Research Interest:

Statistics, Econometrics

Dr. Mahamitra Das
Research Interest:

Applied Econometrics

Dr. Thirumalanathan D
Research Interest:

Mathematics, Game Theory, Machine Learning

Dr. Sujaya Sircar
Research Interest:

Environmental Economics, Labor Economics, Development Economics

Dr. Anna David Thottappilly
Research Interest:

Agricultural Economics, Climate Change, Development Economics

Dr. Vimal Kumar
Research Interest:

Political Economics and Game Theory.

Kumar Alok
Research Interest:

Public Policy

Dr. Anurag Singh
Research Interest:

International macroeconomics, Monetary economics, emerging market business cycles

Program FAQ

General Questions

Yes. The degree is recognized for PhD admissions at IIT Kanpur.

Yes. The curriculum includes a substantial project component to encourage applied learning.

  • The fee is around ₹8.02 lakhs, covering all academic components.


 

Questions for Career and Alumni

Yes. Graduates of these programs become part of the prestigious IIT Kanpur alumni network — a global community of innovators and leaders.

They offer industry-relevant curriculum, flexible learning, and credentials from one of India’s top institutes — helping boost both technical expertise and career growth.