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, Environmental Economics, Macroeconomics, Labour Economics, Economic Growth, Public Economics, Game Theory, Network Theory, Industrial Organization and Political Economy. 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. Knowledge of Mathematics at an undergraduate level is useful though not necessary. Selection to the Masters 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 Masters program involves a successful completion of 16 courses (10 compulsory and 6 optional). Additionally, students have to complete a non-credit course on Programming Language offered in the first semester. Further, all university requirements should be met. For details please refer to the SNU website: www.snu.edu.in
The first-year course work consists of 8 compulsory courses and one non-credit course:
|Semester I (Monsoon Semester)||Semester II (Spring Semester)|
|Microeconomics I||Microeconomics II|
|Macroeconomics I||Macroeconomics II|
|Mathematical Methods||Computational Economics|
|Programming Language (non-credit)|
The second year (Semester III and Semester IV) involves 2 compulsory courses in Semester III
|Semester III (Monsoon Semester)||Semester IV (Spring Semester)|
|Econometrics II||Elective III|
|Game Theory||Elective IV|
|Elective I||Elective V|
|Elective II||Elective VI|
The following is the list of possible optional courses offered by the department:
|Advanced Mathematical Economics||Financial Economics|
|Industrial Organisation||Corporate Finance|
|Public Economics||International Finance|
|International Trade||Time Series Analysis|
|Environmental Economics||Development Economics|
|Growth and Business Cycle||Social Choice Theory|
|Machine Learning in Economics||Labour Economics|
|Health Economics||Mechanism Design|
In semesters III and IV, students can also opt for a project course in lieu of a taught course, spread over two semesters, where they work under the supervision of a faculty member to develop a Masters thesis.
Note: The course structure is subject to change with approval from the academic council of the university. Students will be informed about these changes (if any) prior to the commencement of the program.
Admissions: Online application forms for the Masters programme can be obtained from the department website. For 2020, the last date for applying to the M.Sc. program is June 17. The first step in the admission process is a written test held across four cities in India: New Delhi, Kolkata, Bengaluru and Pune. Candidates will be informed about the venue of the test at least a week before the exam date. New exam date will be announced soon. We expect it be towards the end of June. The M.Sc. (Economics) Admission Test will have 40-50 multiple choice questions. There will be 5 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).