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M-A in Economics at University of Delhi
Delhi, Delhi
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About the Specialization
What is Economics at University of Delhi Delhi?
This M.A. Economics program at the University of Delhi focuses on rigorous theoretical and empirical training, preparing students for advanced research and policy roles. It provides a deep understanding of economic principles applicable to India''''s dynamic growth trajectory, addressing critical issues like development, public finance, and international trade within the Indian context. The program is recognized for its strong quantitative emphasis.
Who Should Apply?
This program is ideal for fresh graduates with a strong foundation in economics and mathematics, seeking entry into research, academia, or policy-making in India. It also suits working professionals looking to upskill in advanced economic analysis, and career changers aiming to transition into economic research or consulting roles that demand analytical rigor.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including positions in government (IAS, RBI), academia, economic consulting, financial services, and think tanks. Entry-level salaries typically range from INR 6-12 LPA, with significant growth potential. The program''''s reputation aids in securing roles at top Indian and international firms operating in India.
Student Success Practices
Foundation Stage
Master Core Economic Principles- (Semester 1-2)
Dedicate significant effort to thoroughly understand microeconomics, macroeconomics, econometrics, and mathematical methods. Form study groups to discuss complex topics and solve problems collaboratively. Focus on building a strong conceptual foundation as it underpins all advanced studies.
Tools & Resources
NPTEL courses, Standard textbooks (e.g., Mas-Colell, Romer), University library resources, Peer study groups
Career Connection
A robust grasp of fundamentals is crucial for competitive exams (UPSC, RBI Grade B) and for excelling in quantitative roles in research and analysis.
Enhance Quantitative Skills- (Semester 1-2)
Regularly practice problem-solving in econometrics and mathematical methods. Utilize online platforms for coding in R or Python, which are essential for empirical economic analysis. Seek out additional workshops or courses on statistical software if available.
Tools & Resources
Coursera/edX for R/Python, GeeksforGeeks for coding practice, Stata/EViews for econometrics, DU''''s Departmental computer labs
Career Connection
Strong quantitative and software skills are highly valued in analytics, data science, and economic research roles, both in government and private sector.
Engage with Departmental Seminars and Workshops- (Semester 1-2)
Actively attend research seminars and workshops organized by the Delhi School of Economics. This exposes you to ongoing research, diverse economic topics, and helps in identifying potential areas of interest for future specialization or research projects.
Tools & Resources
DSE official seminar schedule, Faculty interaction sessions, Departmental notice boards
Career Connection
Networking with faculty and understanding research trends can open doors to research assistantships and clarify career paths in academia or policy research.
Intermediate Stage
Explore Diverse Elective Options- (Semester 3)
Strategically choose elective courses based on your career interests, whether it''''s public policy, finance, development, or international economics. Consult with faculty and seniors about course content and faculty expertise to make informed decisions.
Tools & Resources
DSE course catalog, Faculty office hours, Alumni network advice
Career Connection
Specializing through electives builds focused expertise, making you a more attractive candidate for specific roles in consulting, finance, or sector-specific policy analysis.
Undertake Research Projects/Internships- (Semester 3-4 (during breaks and alongside studies))
Actively seek opportunities for summer internships with think tanks, research organizations, government bodies (e.g., NITI Aayog), or private firms. If an internship isn''''t feasible, work on a research project under faculty guidance to apply theoretical knowledge.
Tools & Resources
University career services, Faculty recommendations, Online job portals (LinkedIn, Internshala), Research grants if available
Career Connection
Practical experience and a strong research portfolio significantly enhance your CV for placements and higher studies, demonstrating real-world application of economic skills.
Participate in Economic Competitions and Debates- (Semester 3-4)
Join economic societies and participate in inter-college quizzes, debates, and case study competitions. This helps in improving critical thinking, public speaking, and applying economic concepts to current events, fostering teamwork and networking skills.
Tools & Resources
Departmental economic society, University cultural and academic festivals, Online forums for economic discourse
Career Connection
Showcasing problem-solving abilities and communication skills through competitions is highly valued by recruiters and helps build a professional network.
Advanced Stage
Focus on Placement and Interview Preparation- (Semester 4)
Start preparing for placements early by revising core economic concepts, practicing quantitative aptitude, and honing interview skills. Attend mock interviews and workshops organized by the university''''s placement cell. Tailor your resume and cover letters to specific job descriptions.
Tools & Resources
University placement cell resources, Online aptitude test platforms, Interview preparation guides, Alumni mentors
Career Connection
Dedicated and targeted preparation significantly increases your chances of securing preferred placements in top companies, government organizations, and research institutions.
Develop Advanced Analytical Tools and Software Proficiency- (Semester 4)
Master advanced econometric software (e.g., Stata, R, Python) and data visualization tools. Work on projects that require handling large datasets and applying sophisticated statistical techniques. Consider pursuing online certifications in specific software or advanced analytics.
Tools & Resources
DataCamp, Udemy for advanced courses, Kaggle for data challenges, Official software documentation
Career Connection
Proficiency in advanced tools is a critical asset for roles in data analytics, quantitative research, and consulting, making you highly competitive in the modern job market.
Network with Alumni and Industry Professionals- (Semester 4 and beyond)
Actively connect with alumni and professionals in your field of interest through LinkedIn, alumni meets, and industry events. These connections can provide mentorship, career guidance, and potential job leads, offering invaluable insights into career trajectories in India.
Tools & Resources
LinkedIn, University alumni association events, Industry conferences and webinars
Career Connection
A strong professional network is invaluable for long-term career growth, mentorship, and staying updated on industry trends and opportunities in India''''s diverse economic landscape.
Program Structure and Curriculum
Eligibility:
- B.A. (Hons.) in Economics from University of Delhi with at least 50% marks, OR B.A./B.Sc. (Hons.) in any subject with Economics as major/minor or B.A./B.Sc./B.Com. with Mathematical Economics/Mathematics/Statistics as a subject with at least 60% marks.
Duration: 2 years (4 semesters)
Credits: 64 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC 401 | Microeconomic Theory I | Core | 4 | Consumer Theory, Producer Theory, Market Equilibrium, Welfare Economics, Decision Making under Uncertainty |
| EC 402 | Macroeconomic Theory I | Core | 4 | National Income Accounting, Consumption and Investment, Business Cycle Theories, Monetary and Fiscal Policy, Aggregate Demand and Supply |
| EC 403 | Econometric Methods I | Core | 4 | Simple and Multiple Regression, Classical Linear Regression Model, Hypothesis Testing, Violations of Assumptions, Estimation Techniques |
| EC 404 | Mathematical Methods for Economics | Core | 4 | Optimization Techniques, Dynamic Optimization, Differential and Difference Equations, Linear Algebra, Calculus and its Applications |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC 405 | Microeconomic Theory II | Core | 4 | Game Theory, General Equilibrium Theory, Information Economics, Externalities and Public Goods, Mechanism Design |
| EC 406 | Macroeconomic Theory II | Core | 4 | Economic Growth Models (Solow, Ramsey), Overlapping Generations Models, Endogenous Growth Theory, Real Business Cycle Theory, New Keynesian Economics |
| EC 407 | Econometric Methods II | Core | 4 | Time Series Econometrics, Panel Data Models, Limited Dependent Variable Models, Simultaneity and IV Estimation, Forecasting Techniques |
| EC 4XX | Elective Course 1 (e.g., Indian Economic Policy) | Elective | 4 | Growth and Structural Change, Fiscal and Monetary Policy, Poverty and Inequality, Agricultural and Industrial Policy, External Sector Reforms |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC 408 | Indian Economic Problems and Policies | Core | 4 | Agriculture and Food Security, Industrial Development and Reforms, Services Sector Growth, Poverty, Inequality and Human Development, Fiscal Federalism and Public Finance |
| EC 4XX | Elective Course 2 (e.g., Public Economics) | Elective | 4 | Public Goods and Externalities, Taxation Theory and Policy, Public Expenditure Analysis, Fiscal Policy and Debt Management, Social Choice Theory |
| EC 4XX | Elective Course 3 (e.g., Development Economics) | Elective | 4 | Theories of Economic Development, Poverty and Income Distribution, Human Capital and Health, Institutions and Economic Growth, Trade and Aid in Development |
| EC 4XX | Elective Course 4 (e.g., International Trade) | Elective | 4 | Classical Trade Theories, New Trade Theories, Trade Policy Instruments, WTO and Multilateral Trading System, International Factor Movements |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC 4XX | Elective Course 5 (e.g., Financial Economics) | Elective | 4 | Asset Pricing Models, Portfolio Theory, Derivatives Markets, Risk Management, Market Efficiency |
| EC 4XX | Elective Course 6 (e.g., Labour Economics) | Elective | 4 | Labour Supply and Demand, Wage Determination, Human Capital Theory, Labour Market Institutions, Discrimination and Inequality |
| EC 4XX | Elective Course 7 (e.g., Behavioral Economics) | Elective | 4 | Bounded Rationality, Heuristics and Biases, Prospect Theory, Intertemporal Choice, Nudge Theory and Policy |
| EC 4XX | Elective Course 8 (e.g., Applied Econometrics) | Elective | 4 | Microeconometrics, Program Evaluation, Causal Inference Methods, Machine Learning in Economics, Big Data Analysis |
