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MA in Economics at M.P. Mahila Mahavidyalaya
Gorakhpur, Uttar Pradesh
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About the Specialization
What is Economics at M.P. Mahila Mahavidyalaya Gorakhpur?
This MA Economics program at M.P. Mahila Mahavidyalaya, Gorakhpur, focuses on advanced economic theories, quantitative methods, and Indian economic policy. It equips students with analytical skills crucial for understanding complex economic phenomena. Given India''''s dynamic economic landscape, the program prepares graduates for roles in policy analysis, research, and financial sectors, contributing to national development and addressing pressing economic challenges.
Who Should Apply?
This program is ideal for fresh graduates with a Bachelor''''s degree in Economics, Commerce, or related fields, seeking to deepen their understanding of economic principles. It also caters to aspiring researchers, government job seekers, and those aiming for careers in economic analysis. A strong analytical aptitude and interest in socio-economic issues, particularly within the Indian context, are key prerequisites for prospective students.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as economists in government agencies (UPSC, RBI, NITI Aayog), research analysts in think tanks, data analysts in consultancies, or faculty in academic institutions. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential up to INR 10-15 LPA for experienced professionals in the Indian market, reflecting the demand for skilled economists.
Student Success Practices
Foundation Stage
Build Strong Theoretical Foundations- (Semester 1-2)
Focus deeply on core micro and macroeconomics concepts, attending all lectures, and actively engaging in tutorials. Utilize university library resources and online platforms like NPTEL for supplementary learning to clarify complex theoretical frameworks.
Tools & Resources
Core textbooks (e.g., Varian, Mankiw, Dornbusch), NPTEL Economics courses, DDUGU library and e-resources
Career Connection
A strong theoretical base is essential for clearing competitive exams (UPSC, RBI Grade B), for advanced research, and for critical economic policy analysis roles.
Master Quantitative Tools Early- (Semester 1-2)
Dedicate extra time to quantitative methods. Practice regularly with problems from textbooks and previous year question papers. Join study groups to clarify doubts and enhance problem-solving skills, building a robust quantitative aptitude.
Tools & Resources
R.S. Aggarwal (Quantitative Aptitude), Basic statistics software (Excel, R), Online tutorials on econometrics basics
Career Connection
Proficiency in quantitative methods is crucial for data analysis, research roles, and positions in financial institutions and economic policy formulation.
Engage in Economic Debates and News- (Semester 1-2)
Actively follow national and international economic news. Participate in department seminars and discussions. Read economic columns from leading Indian newspapers (e.g., The Economic Times, Business Standard) and government reports to connect theory with real-world issues.
Tools & Resources
Indian financial newspapers, RBI bulletins, NITI Aayog reports, Departmental seminars
Career Connection
Develops critical thinking, current affairs knowledge, and communication skills, all crucial for interviews and policy-oriented roles.
Intermediate Stage
Undertake Subject-Specific Internships- (Semester 3)
Seek out short-term internships with local research organizations, NGOs working on economic development, or state government departments. Focus on roles involving data collection, basic analysis, or policy review to gain practical experience.
Tools & Resources
LinkedIn, Internshala, College career counseling cell, Local government websites
Career Connection
Gaining practical exposure enhances resume value and provides real-world application of theoretical knowledge, especially for roles in development or the public sector.
Develop Econometric Software Proficiency- (Semester 3)
Beyond theoretical econometrics, gain hands-on experience with statistical software. Start with R or Stata for data manipulation, regression analysis, and hypothesis testing. Consider Python for advanced data analysis and machine learning applications.
Tools & Resources
R Studio, Stata, Python (Pandas, NumPy, Scikit-learn), Online courses (Coursera, Udemy) for data science in economics
Career Connection
Highly valued skill for research analyst, data scientist, and econometrician positions in both private and public sectors, increasing employability significantly.
Participate in Economic Research Competitions/Seminars- (Semester 3)
Join or organize department-level paper presentations, economic quizzes, or case study competitions. This helps in refining research skills, public speaking, and quick analytical thinking under pressure, while building a network.
Tools & Resources
College Department of Economics, University-level events, Online economic challenges and forums
Career Connection
Builds a strong academic profile, offers networking opportunities, and boosts confidence for future research, academic, or analytical roles.
Advanced Stage
Focus on Dissertation/Project Excellence- (Semester 4)
Choose a research topic aligned with career interests early. Work closely with a faculty advisor, conduct thorough literature review, collect and analyze data rigorously, and present findings professionally in your final dissertation or project.
Tools & Resources
Research journals (JSTOR, Google Scholar), Citation managers (Mendeley, Zotero), Advanced statistical software (e.g., EViews, SAS)
Career Connection
A high-quality dissertation is a strong portfolio piece for academic, research, or policy analysis roles, showcasing independent research capabilities and problem-solving skills.
Intensive Placement and Competitive Exam Preparation- (Semester 4)
Begin preparing for specific job roles or competitive exams (UPSC Economics Optional, RBI Grade B, NET/JRF) well in advance. Focus on interview skills, group discussions, mock tests, and comprehensive subject revision, tailoring your preparation.
Tools & Resources
Coaching institutes (if desired), Online test series, Previous year question papers, Career counseling cell for mock interviews
Career Connection
Direct pathway to government jobs, central bank roles, or positions in research and academia, requiring focused and strategic preparation.
Build Professional Networking- (Semester 4 and beyond)
Attend webinars, conferences, and workshops related to economics, both online and offline. Connect with alumni and industry professionals on platforms like LinkedIn to explore career opportunities, gain mentorship, and stay updated on industry trends.
Tools & Resources
LinkedIn, Professional economics associations in India (e.g., Indian Economic Association), University alumni network and events
Career Connection
Opens doors to internships, job referrals, and invaluable insights into industry demands, which are crucial for long-term career advancement and visibility.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree (B.A. with Economics / B.Com. / B.Sc. (Ag) / B.Sc. (Home Sc.)) from a recognized university.
Duration: 4 semesters / 2 years
Credits: 68 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECON101 | Micro Economics – I | Core | 4 | Consumer Behaviour, Theory of Production, Cost and Revenue Analysis, Market Structures, Pricing under Imperfect Competition |
| ECON102 | Macro Economics – I | Core | 4 | National Income Accounting, Classical and Keynesian Theories of Employment, Consumption Function, Investment Function, Multiplier and Accelerator |
| ECON103 | Quantitative Methods for Economic Analysis – I | Core | 4 | Basic Statistics, Measures of Central Tendency, Measures of Dispersion, Correlation Analysis, Regression Analysis |
| ECON104 | Indian Economic Policy – I | Core | 4 | Overview of Indian Economy, Economic Reforms in India, Agriculture Sector Challenges, Industrial Policy, Poverty and Inequality in India |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECON201 | Micro Economics – II | Core | 4 | Welfare Economics, General Equilibrium Analysis, Externalities and Public Goods, Asymmetric Information, Game Theory Basics |
| ECON202 | Macro Economics – II | Core | 4 | Monetary Policy, Fiscal Policy, Inflation and Unemployment, Business Cycles, Open Economy Macroeconomics |
| ECON203 | Quantitative Methods for Economic Analysis – II | Core | 4 | Probability Theory, Sampling and Estimation, Hypothesis Testing, Introduction to Econometrics, Index Numbers and Time Series |
| ECON204 | Indian Economic Policy – II | Core | 4 | India''''s Foreign Trade Policy, Fiscal Federalism in India, Banking and Financial Sector Reforms, Infrastructure Development, Environmental Policies in India |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECON301 | Public Economics | Core | 4 | Role of Government in the Economy, Public Goods and Externalities, Principles of Taxation, Public Expenditure, Fiscal Policy and Debt |
| ECON302 | Development Economics – I | Core | 4 | Concepts of Economic Development, Theories of Underdevelopment, Poverty and Inequality, Human Development Index, Population Growth and Development |
| ECON303 | International Economics | Core | 4 | Theories of International Trade, Tariffs and Non-Tariff Barriers, Balance of Payments, Exchange Rate Regimes, International Economic Organizations |
| ECON304A | Elective I: Environmental Economics | Elective | 4 | Environmental Problems and Economic Growth, Resource Economics, Pollution Control Policies, Valuation of Environmental Goods, Sustainable Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECON401 | Econometrics | Core | 4 | Simple and Multiple Regression Analysis, Assumptions of Ordinary Least Squares (OLS), Problems of Multicollinearity, Heteroskedasticity and Autocorrelation, Dummy Variables and Limited Dependent Variables |
| ECON402 | Development Economics – II | Core | 4 | Development Planning Models, Human Capital and Education, Technology and Development, International Aid and Debt, Sustainable Development Goals (SDGs) |
| ECON403 | Research Methodology in Economics | Core | 4 | Fundamentals of Research Design, Data Collection Methods, Sampling Techniques, Hypothesis Formulation and Testing, Report Writing and Presentation |
| ECON404D | Elective II: Financial Economics | Elective | 4 | Financial Markets and Institutions, Portfolio Theory and Asset Pricing, Risk and Return, Derivatives Markets, Financial Regulation |
| ECON405 | Project / Dissertation | Project | 4 | Problem Identification and Formulation, Literature Review, Methodology Design, Data Analysis and Interpretation, Report Writing and Viva Voce |
