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M-A in Economics at S.N.M. College, Maliankara, Moothakunnam
Ernakulam, Kerala
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About the Specialization
What is Economics at S.N.M. College, Maliankara, Moothakunnam Ernakulam?
This M.A. Economics program at Sree Narayana Mangalam College, Ernakulam, focuses on advanced economic theories, quantitative methods, and policy analysis relevant to the Indian context. It delves deep into microeconomics, macroeconomics, econometrics, and development economics, providing a robust foundation for understanding complex economic phenomena. The program stands out by integrating theoretical rigor with practical application, preparing students for the evolving demands of the Indian job market, especially in policy research, analytics, and financial sectors.
Who Should Apply?
This program is ideal for fresh graduates with a Bachelor''''s degree in Economics or related fields who aspire to build a career in economic research, data analysis, or policy formulation. It also suits working professionals seeking to enhance their analytical capabilities and transition into roles requiring advanced economic insights. Candidates with a strong quantitative aptitude and a keen interest in understanding societal and market dynamics, along with a desire to contribute to India''''s economic growth story, will find this program highly rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths in India, including roles as economic analysts, data scientists, researchers, consultants, and public policy advisors. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning upwards of INR 10-15 lakhs. Growth trajectories in Indian companies, government bodies, and international organizations are significant, offering opportunities to influence economic decisions and contribute to national development. The program also serves as a strong foundation for pursuing M.Phil or Ph.D. in Economics.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Focus rigorously on Quantitative Methods and Econometrics. Attend all lectures, solve textbook problems diligently, and use online resources to solidify concepts. Form study groups to tackle challenging mathematical and statistical problems, which are foundational for advanced economic analysis.
Tools & Resources
NPTEL courses on Mathematics for Economists, Swayam, Khan Academy, Alpha C Chiang''''s "Fundamental Methods of Mathematical Economics"
Career Connection
Essential for data analysis, econometric modeling, and research roles in financial services, analytics, and policy research, highly valued in the Indian job market.
Develop Critical Economic Thinking- (Semester 1-2)
Beyond memorizing theories, actively engage with current economic news and policy debates related to India. Read financial newspapers (e.g., The Economic Times, Business Standard) and magazines (e.g., EPW) regularly. Participate in department seminars and discussions to develop an informed perspective.
Tools & Resources
Economic and Political Weekly (EPW), Livemint, Reserve Bank of India (RBI) publications, NITI Aayog reports
Career Connection
Crucial for roles in economic journalism, policy analysis, and think tanks, where understanding real-world implications of theories is paramount for impactful contributions.
Cultivate Academic Writing and Presentation Skills- (Semester 1-2)
Pay close attention to assignments, seminar presentations, and research papers. Learn to structure arguments logically, cite sources correctly, and present complex ideas clearly. Seek regular feedback from professors and peers to continuously improve your communication abilities.
Tools & Resources
Mendeley/Zotero for citation management, Grammarly, university writing centers or workshops
Career Connection
Fundamental for any professional role requiring report writing, research dissemination, and effective communication, from academia to corporate strategy and public relations.
Intermediate Stage
Advanced Stage
Master Econometric Software and Data Analysis- (Semester 3-4)
Gain hands-on proficiency in at least one statistical software package (e.g., R, Python with Pandas/Numpy/Statsmodels, Stata, EViews). Apply these tools to real economic datasets to perform regression analysis, time series analysis, and hypothesis testing, building a robust portfolio.
Tools & Resources
Coursera/edX courses on R/Python for Data Science, official software documentation, datasets from government sources like MOSPI, NSSO, RBI
Career Connection
Direct preparation for roles as data analysts, quantitative researchers, and business intelligence professionals, in high demand in India''''s growing analytics sector across various industries.
Specialize through Electives and Project Work- (Semester 3-4)
Choose electives strategically based on specific career interests (e.g., financial economics, environmental economics, industrial economics). Dedicate significant effort to the final project, making it a capstone experience that demonstrates your analytical and research capabilities to potential employers.
Tools & Resources
Research guides, faculty advisors, specialized software relevant to elective (e.g., GIS for environmental, Bloomberg terminal for financial)
Career Connection
Allows for deep specialization, making you a more attractive candidate for targeted roles in specific economic sectors and research areas upon graduation.
Pursue Internships and Prepare for Placements- (Semester 3-4)
Actively seek and complete internships during semester breaks with economic research firms, financial institutions, government departments (like planning boards), or NGOs. Simultaneously, begin preparing for competitive exams (UGC NET, JRF) or company interviews, practicing mock interviews and refining your resume.
Tools & Resources
College career cell, LinkedIn, Internshala, company websites, faculty connections, career counseling services
Career Connection
Converts theoretical knowledge into practical skills and provides invaluable real-world experience, often a prerequisite for entry-level professional economic roles, significantly enhancing placement opportunities.
Program Structure and Curriculum
Eligibility:
- B.A. Economics/B.Sc. Economics/B.B.A/B.Com/B.A./B.Sc. with Economics as subsidiary/equivalent degree with at least 45% marks in the core group (Core and Complementary). SC/ST candidates need only pass marks.
Duration: 4 semesters / 2 years
Credits: 64 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC0101C01 | Microeconomic Theory I | Core | 4 | Consumer Behavior, Theory of Production, Theory of Cost, Market Structures, Welfare Economics |
| EC0101C02 | Macroeconomic Theory I | Core | 4 | National Income Accounting, Classical Macroeconomics, Keynesian Macroeconomics, Consumption and Investment Functions, Money and Prices |
| EC0101C03 | Quantitative Methods for Economic Analysis I | Core | 4 | Set Theory, Matrix Algebra, Differential Calculus, Optimization, Linear Programming |
| EC0101C04 | Indian Economy: Problems and Policies | Core | 4 | Structure of Indian Economy, Agricultural Sector, Industrial Sector, Service Sector, Economic Reforms |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC0102C05 | Microeconomic Theory II | Core | 4 | General Equilibrium, Input-Output Analysis, Game Theory, Externalities, Public Goods |
| EC0102C06 | Macroeconomic Theory II | Core | 4 | Theories of Inflation, Business Cycles, Open Economy Macroeconomics, Fiscal Policy, Monetary Policy |
| EC0102C07 | Quantitative Methods for Economic Analysis II | Core | 4 | Probability Theory, Sampling Distributions, Hypothesis Testing, Correlation and Regression, Time Series Analysis |
| EC0102C08 | Public Economics | Core | 4 | Public Goods, Externalities, Public Revenue, Public Expenditure, Fiscal Federalism in India |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC0103C09 | Econometrics I | Core | 4 | Classical Linear Regression Model, OLS Assumptions, Multicollinearity, Heteroscedasticity, Autocorrelation |
| EC0103C10 | Growth and Development | Core | 4 | Theories of Economic Growth, Models of Development, Poverty and Inequality, Human Development, Sustainable Development |
| EC0103C11 | International Economics | Core | 4 | Theories of International Trade, Terms of Trade, Balance of Payments, Exchange Rate Systems, Trade Policy |
| EC0103E01 | Environmental Economics | Elective | 4 | Environmental Quality, Market Failure, Cost-Benefit Analysis, Pollution Control, Climate Change Economics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC0104C12 | Econometrics II | Core | 4 | Dynamic Econometric Models, Simultaneous Equation Models, Panel Data Models, Time Series Econometrics, Qualitative Response Models |
| EC0104E05 | Industrial Economics | Elective | 4 | Industrial Organization, Market Structure, Firm Behavior, Industrial Policies in India, Mergers and Acquisitions |
| EC0104P01 | Project | Project | 4 | Research Design, Data Collection, Data Analysis, Report Writing, Presentation |
| EC0104V01 | Viva Voce | Viva | 4 | Comprehensive assessment of all papers, Project defense, General economic knowledge, Analytical ability |
