Recognised among the best MA Applied Econometrics colleges in Bangalore, the 1-Year M.A. in Applied Econometrics is an intensive, industry-aligned postgraduate programme designed to build advanced capabilities in economic analysis, econometric modelling, and data-driven decision-making. Developed by the Department of Economics, the programme aligns with the University’s vision of fostering human development through high-quality education, research excellence, and innovation-driven growth.
Positioning the University among the top MA Applied Econometrics colleges in Bangalore, the programme provides learners with a strong theoretical grounding in microeconomics, macroeconomics, financial economics, and advanced econometric theory, complemented by extensive hands-on training in leading analytical tools such as STATA, R Programming, EViews, and machine learning applications. The curriculum emphasises contemporary quantitative techniques, forecasting models, macro-financial analysis, panel data methods, and rigorous empirical research design, enabling students to interpret complex socio-economic issues with analytical precision.
Aligned with the academic and professional benchmarks associated with the best colleges for MA Applied Econometrics in Bangalore, the programme is structured around clearly defined Graduate Attributes, Programme Outcomes (POs), and Programme Specific Outcomes (PSOs). Through internships and a full-scale Econometric Research Project and Dissertation, students develop advanced competencies in model specification, data analysis, empirical estimation, and economic interpretation, preparing them for high-impact roles across academia, industry, government, and policy institutions.
The minimum qualification required to apply for this programme is 55 per cent marks in a 4-year UG degree in Economics, Statistics, Mathematics, Science, Commerce, or Engineering from a recognised university or institution.
Duration: 1 Year (2 Semesters)
Core Foundations & Applied Training
Total Credits: 20
Advanced Applications, Machine Learning & Research
Total Credits: 22
Advanced Econometric Expertise: Rigorous training in microeconometrics, macroeconometrics, panel data methods, time-series analysis, and financial econometrics using industry-standard tools (STATA, R, EViews).
Strong Theoretical Foundation: Robust grounding in advanced microeconomics, macroeconomics, financial economics, and econometric theory for thorough policy and economic analysis.
Hands-on Software Training: Intensive lab-based courses focusing on applied econometric methods, forecasting techniques, computational modelling, and data analytics.
Machine Learning Integration: Specialised modules equipping learners to incorporate machine learning algorithms for predictive modelling and big-data econometric applications.
Industry-Oriented Curriculum: Designed to meet the needs of government agencies, financial markets, think-tanks, consulting firms, and data-driven industries.
Research-Focused Learning: A structured Econometric Research Project and Dissertation that enhances independent inquiry, empirical modelling, and academic writing.
Internship Component: Mandatory internship providing practical exposure to policy evaluation, financial modelling, forecasting, and applied economic research.
High-End Analytical Skills: Training in risk modelling, financial forecasting, econometric simulations, and evaluation of economic policies using real datasets.
Aligned with NEP 2020 and Global Standards: Emphasises critical thinking, ethical reasoning, leadership, and multidisciplinary engagement.
Career-Ready Competencies: Prepares graduates for specialised roles such as Econometrician, Financial Analyst, Data Scientist (Economics), Policy Analyst, and Research Consultant.
The programme integrates a strong career and research development ecosystem, enabling students to build specialised quantitative and analytical expertise.
Certifications in Industry-Relevant Analytical Tools
Mentorship for Research & Professional Development
Graduates of the M.A. in Applied Econometrics emerge with advanced analytical, statistical, and computational competencies suited for diverse roles across academia, government, financial institutions, and industry.
Econometrician, Data Analyst / Senior Data Analyst, Financial Analyst / Quantitative Analyst, Research Associate / Research Scientist, Policy Analyst / Economic Consultant, Machine Learning Analyst / Applied Data Scientist, Business Intelligence Analyst, Forecasting & Risk Modelling Specialist, Banking and Financial Services Roles, PhD Researcher / Academic Career
The programme equips learners with the expertise necessary for leadership roles in applied economics, financial analytics, and quantitative research.
An MA in Applied Econometrics is a postgraduate programme that focuses on applying statistical and mathematical methods to economic data. It trains students in econometric modelling, data analysis, forecasting, and empirical research to support evidence-based economic and policy decision-making.
An Applied Econometrics degree does not directly qualify a graduate to practise as a professional accountant. Accounting roles typically require specialised qualifications such as CA, CPA, or ACCA. However, econometrics graduates may work in finance, analytics, or economic research roles that involve financial data analysis.
Ragnar Frisch is widely regarded as the father of Econometrics. He coined the term “econometrics” and, along with Jan Tinbergen, laid the foundations of the discipline. Both were awarded the first Nobel Prize in Economics in 1969 for their contributions.
Becoming a Chief Economist typically requires advanced education (usually a PhD in Economics or a related field), extensive experience in economic research or policy analysis, strong quantitative and analytical expertise, and a proven track record in leadership and strategic decision-making within academia, industry, or government institutions.
The scope of Econometrics is broad and expanding. It is widely used in economic research, finance, banking, public policy, consulting, international development, data analytics, and regulatory analysis. Econometricians play a key role in forecasting, impact evaluation, and evidence-based policymaking.
The four commonly used types of data in Econometrics are:
Yes, an MA in Applied Econometrics provides strong preparation for doctoral studies. Graduates with strong academic performance and research experience can pursue a PhD in Economics, Econometrics, Public Policy, or related quantitative disciplines.
Applicants must have completed a bachelor’s degree from a recognised university. A background in Economics, Mathematics, Statistics, Engineering, or related quantitative disciplines is typically preferred, subject to the admission norms of the university.
Graduates can pursue roles such as Econometrician, Economic Analyst, Data Analyst, Policy Analyst, Research Associate, Financial Analyst, and Consultant. Opportunities exist across academia, government agencies, financial institutions, think tanks, international organisations, and data-driven private sector roles.