The two-year Master’s program in economics is a top tier post-graduate program in economics in India. The students admitted to the program will receive training within a nurturing environment, supported by faculty members who are working at the forefront of research in their respective fields. Areas of research for current faculty members include Development Economics, Economic Growth, Environmental Economics, Game Theory and Information Economics, Industrial Organization, Labor Economics, Macroeconomics, Political Economy, and Public Economics. The curriculum imparts a theoretical foundation with strong emphasis on real-world application, resulting in a solid grounding in quantitative methods and econometrics. The admitted students receive rigorous training in tools of economics analysis which enables them to contribute creatively to academia, the corporate sector, the social sector and policy making.
Eligibility Conditions: Minimum qualification for admission to M.Sc. program is an undergraduate degree (in any discipline) with 55% in aggregate. Mathematics in class XI and XII is compulsory. Selection to the master’s program is based purely on the performance in the admission test.
Note: Please note that not all candidates meeting the minimum eligibility criteria may be shortlisted.
Course Structure: The Master’s program involves successful completion of 16 courses (8 compulsory and 8 electives). Additionally, students have to complete a non-credit course on Coding offered in the first year. Further, all university requirements should be met. The first-year course work consists of 7 compulsory courses, one elective course, and one non- credit course:
|Semester I (Monsoon Semester)||Semester II (Spring Semester)|
|Microeconomics I||Microeconomics II|
|Macroeconomics I||Macroeconomics II|
|Mathematical Methods||Econometrics I|
The second year (Semester III and Semester IV) involves one compulsory course and seven elective courses
|Semester III (Monsoon Semester)||Semester IV (Spring Semester)|
|Econometrics II||Elective V|
|Elective II||Elective VI|
|Elective III||Elective VII|
|Elective IV||Elective VIII|
The following is the list of elective courses offered by the department in recent years:
|Industrial Organisation||International Finance|
|Public Economics||Time Series Analysis|
|International Trade||Social Choice Theory|
|Environmental Economics||Labor Economics|
|Growth and Inequality||Game Theory|
|Individual and Collective Choices||Behavioral Economics|
|Contract Theory||Financial Economics|
Matching and Fair Division
|Macro Economics Workshop|
|Computational Economics||Political Economy Workshop|
Open Economy Macroeconomics and International Trade
|Politics and Institutions|
|Independent Research Project||Economics of Discrimination|
In semesters III and IV, students can also opt for a research-based course (Independent Research Project) in lieu of a taught course, spread over two semesters, where they work under the supervision of a faculty member to develop a master’s thesis.
Note: The course structure is subject to change with approval from the academic council of the university.
Admissions: Online application forms for the master’s programme can be obtained from the department website. For 2022, the last date for applying to the M.Sc. program is June 26, 2022. The admission process involves a written test. The entrance exam for M.Sc. in Economics is going to be conducted on July 3, 2022. The M.Sc. (Economics) Admission Test will have multiple choice questions. There will be questions that will test comprehension and analytical abilities. The remaining questions will be from undergraduate level Economics (Theory of Consumer and Producer Behaviour; Market Structures: Perfect Competition, Monopoly and Oligopoly, General Equilibrium, Basic Models of International Trade: Ricardian Model and Hecksher Ohlin Model, National Income Accounting, Aggregate Demand and Aggregate Supply), and basic Mathematics (Permutations and Combinations. Sets and Relations, Functions, Limits, Continuity, Differential and Integral Calculus. Unconstrained and Constrained Optimization. Descriptive Statistics: Measures of Central tendency, Dispersion, Skewness and Kurtosis. Probability Theory, Sampling, Estimation, Inference and Hypothesis Testing).