

MASTER-OF-ARTS in Economics at Priyadarshini Indira Gandhi Government College for Women


Jind, Haryana
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About the Specialization
What is Economics at Priyadarshini Indira Gandhi Government College for Women Jind?
This Master of Arts in Economics program at Priyadarshini Indira Gandhi Government College for Women, Jind, affiliated with CRSU, focuses on providing a comprehensive understanding of economic theories, policies, and quantitative techniques. It aims to equip students with analytical skills to address complex economic challenges prevalent in the Indian and global contexts. The program emphasizes both theoretical foundations and their practical application, fostering research aptitude and a nuanced perspective on economic issues.
Who Should Apply?
This program is ideal for fresh graduates with a background in Economics, Commerce, or related fields who seek to delve deeper into economic analysis. It also caters to aspiring researchers, educators, and professionals aiming for roles in government organizations, think tanks, or financial institutions. Individuals keen on understanding India''''s socio-economic landscape and contributing to policy formulation will find this specialization particularly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as economic analysts, researchers, data scientists, policy advisors, and consultants in government bodies, NGOs, and the private sector. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more. The strong emphasis on econometrics and policy analysis prepares students for competitive roles in India''''s growing analytics and financial services industries.

Student Success Practices
Foundation Stage
Master Economic Fundamentals through Conceptual Clarity- (Semester 1-2)
Focus on thoroughly understanding core micro and macroeconomics concepts, quantitative techniques, and Indian economic policy. Actively participate in class discussions, solve numerical problems regularly, and form study groups with peers to clarify doubts. Utilize textbooks recommended in the syllabus and external resources like NPTEL lectures for deeper understanding.
Tools & Resources
NPTEL courses, Standard Economics Textbooks (Mankiw, Dornbusch, Salvatore), Khan Academy for Quantitative Methods, Peer study groups
Career Connection
Strong theoretical foundation is crucial for cracking competitive exams (UPSC, RBI Grade B, IES) and for analytical roles in research and policy.
Develop Proficiency in Quantitative and Statistical Tools- (Semester 1-2)
Given the strong quantitative component, dedicate extra time to practice problems in Calculus, Algebra, Probability, and Statistical Inference. Learn to use basic statistical software (like Excel, R, or Python libraries) for data analysis even before formal econometrics courses. This builds a robust analytical toolkit.
Tools & Resources
Excel, R/Python tutorials, NCERT Mathematics books, online platforms like Coursera/edX for statistics
Career Connection
Essential for roles in data analytics, market research, and econometrics-driven policy analysis in both private and government sectors.
Engage with Current Economic Affairs and Policy Debates- (Semester 1-2)
Beyond textbooks, cultivate a habit of reading economic newspapers (e.g., The Economic Times, Business Standard), reputable magazines (e.g., EPW, Frontline), and government reports (e.g., Economic Survey, RBI publications). Participate in college debates or seminars on contemporary economic issues to connect theory with real-world scenarios.
Tools & Resources
The Economic Survey of India, RBI publications, PRS India, The Economist, Livemint, college seminars
Career Connection
Enhances critical thinking, communication skills, and awareness required for policy analysis, journalism, and public service.
Intermediate Stage
Apply Econometrics for Real-World Problem Solving- (Semester 3-4)
Actively engage in econometrics courses by working on practical assignments using statistical software. Identify a simple economic hypothesis and attempt to test it using publicly available datasets (e.g., from NSSO, MOSPI, RBI). This hands-on experience is critical for developing research skills.
Tools & Resources
EViews, Stata, R/Python for econometrics, data portals (NSSO, RBI, World Bank), research papers
Career Connection
Direct preparation for research analyst, data scientist, and econometrician roles in consulting, finance, and academia.
Undertake Research Project/Dissertation with Rigor- (Semester 3-4)
Choose your project/dissertation topic strategically, aligning it with your interests and potential career paths. Work closely with your supervisor, conduct thorough literature reviews, collect and analyze data diligently, and present your findings effectively. Consider publishing a concise version in a college journal or presenting at a student conference.
Tools & Resources
Academic databases (JSTOR, Google Scholar), citation managers (Mendeley, Zotero), statistical software, institutional library resources
Career Connection
Develops independent research skills, critical for PhD aspirations, think tanks, and advanced analytical roles.
Explore Electives for Niche Specialization and Career Alignment- (Semester 3-4)
Carefully choose elective subjects (e.g., Financial Institutions, Industrial Economics, Demography) based on your career interests. Supplement classroom learning with industry reports, case studies, and guest lectures related to your chosen niche. This targeted learning helps in building expertise for specific job markets.
Tools & Resources
Industry reports (IBEF, CRISIL), business news, specialized journals, alumni network for career insights
Career Connection
Enables specialization, making you a more attractive candidate for focused roles in finance, development, or sector-specific analysis.
Advanced Stage
Program Structure and Curriculum
Eligibility:
- B.A. with Economics / B.Sc. with Economics/ B.Com. / BBA/ B.Sc. Agri. / B.Tech. with at least 45% marks in aggregate. For SC/ST/Differently-abled candidates, 40% marks in aggregate.
Duration: 2 years (4 semesters)
Credits: 80 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M.A. ECO-101 | Micro Economics-I | Core | 4 | Consumer Behavior, Theory of Production and Costs, Market Structures, Pricing under Imperfect Competition, Welfare Economics |
| M.A. ECO-102 | Macro Economics-I | Core | 4 | National Income Accounting, Theories of Income and Employment, Consumption and Investment Functions, Money and Banking, Inflation and Business Cycles |
| M.A. ECO-103 | Quantitative Techniques for Economic Analysis-I | Core | 4 | Functions, Differentiation, Integration, Matrix Algebra, Differential Equations |
| M.A. ECO-104 | Indian Economic Policy-I | Core | 4 | Basic Economic Issues of India, Agricultural Sector, Industrial Sector, Service Sector, Economic Reforms |
| M.A. ECO-105 | History of Economic Thought | Core | 4 | Ancient Economic Thought, Mercantilism and Physiocracy, Classical School, Marxian Economics, Keynesian Revolution |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M.A. ECO-201 | Micro Economics-II | Core | 4 | General Equilibrium, Welfare Economics, Game Theory, Externalities and Public Goods, Economics of Information |
| M.A. ECO-202 | Macro Economics-II | Core | 4 | Theories of Economic Growth, Open Economy Macroeconomics, Fiscal and Monetary Policies, Rational Expectations, Supply Side Economics |
| M.A. ECO-203 | Quantitative Techniques for Economic Analysis-II | Core | 4 | Probability Theory, Statistical Inference, Correlation and Regression, Index Numbers, Time Series Analysis |
| M.A. ECO-204 | Indian Economic Policy-II | Core | 4 | Poverty and Inequality, Unemployment, Population and Human Development, External Sector, Fiscal Federalism |
| M.A. ECO-205 | Public Economics | Core | 4 | Role of Government, Public Goods and Externalities, Taxation Principles, Public Expenditure, Fiscal Policy |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M.A. ECO-301 | Development Economics-I | Core | 4 | Theories of Economic Development, Characteristics of Developing Economies, Population and Human Capital, Poverty and Inequality, Environmental Economics |
| M.A. ECO-302 | International Economics-I | Core | 4 | Theories of International Trade, Terms of Trade, Commercial Policy, Balance of Payments, Exchange Rate Systems |
| M.A. ECO-303 | Econometrics-I | Core | 4 | Basic Econometric Model, Classical Linear Regression Model, Violation of Assumptions, Dummy Variables, Qualitative Response Models |
| M.A. ECO-304(i) | Financial Institutions and Markets | Elective | 4 | Structure of Financial System, Money Market, Capital Market, Financial Sector Reforms, SEBI |
| M.A. ECO-304(ii) | Computer Applications in Economics | Elective | 4 | Spreadsheet Basics, Data Analysis Tools, Statistical Software for Economics, Presentation Tools, Internet for Research |
| M.A. ECO-304(iii) | Entrepreneurship Development | Elective | 4 | Entrepreneurship Concept, Theories of Entrepreneurship, Entrepreneurial Motivation, Small Business Management, Government Policies for Entrepreneurship |
| M.A. ECO-304(iv) | Urban Economics | Elective | 4 | Urbanization Trends, Urban Housing, Urban Transport, Urban Environmental Problems, Urban Policy in India |
| M.A. ECO-304(v) | Demography | Elective | 4 | Concepts of Demography, Population Theories, Fertility and Mortality, Migration, Population Policy in India |
| M.A. ECO-305 | Project Work/Practical | Project/Practical | 4 | Research Problem Identification, Data Collection Methods, Statistical Analysis, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M.A. ECO-401 | Development Economics-II | Core | 4 | Theories of Underdevelopment, Planning Models, Role of State, Foreign Aid and FDI, Sustainable Development |
| M.A. ECO-402 | International Economics-II | Core | 4 | Economic Integration, WTO and Trade Agreements, International Capital Flows, International Financial Crises, Global Economic Governance |
| M.A. ECO-403 | Econometrics-II | Core | 4 | Time Series Econometrics, Panel Data Models, Simultaneous Equation Models, Forecasting, Applied Econometrics |
| M.A. ECO-404(i) | Industrial Economics | Elective | 4 | Industrial Organization, Market Structure, Firm Behavior, Industrial Policy in India, Foreign Capital and MNCs |
| M.A. ECO-404(ii) | Economics of Environment and Demography | Elective | 4 | Environmental Externalities, Valuation of Environmental Goods, Sustainable Development, Population Growth and Environment, Environmental Policy |
| M.A. ECO-404(iii) | Economics of Infrastructure | Elective | 4 | Types of Infrastructure, Energy Sector, Transport Sector, Water and Sanitation, Social Infrastructure |
| M.A. ECO-404(iv) | Labour Economics | Elective | 4 | Labour Market Theories, Wage Determination, Unemployment, Trade Unions, Labour Welfare in India |
| M.A. ECO-404(v) | Agricultural Economics | Elective | 4 | Role of Agriculture, Agrarian Structure, Agricultural Marketing, Agricultural Finance, Food Security |
| M.A. ECO-405 | Dissertation | Project | 4 | Literature Review, Research Design, Data Analysis, Thesis Writing, Viva-Voce |




