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    Applied Econometrics

    Applied Econometrics
    Overview

    The 1-Year M.A. in Applied Econometrics is a rigorous, industry-aligned postgraduate programme designed to cultivate advanced expertise in economic analysis, econometric modelling, and data-driven decision-making. Anchored in the University’s commitment to academic excellence, research innovation, and societal impact, the programme integrates strong theoretical foundations with intensive hands-on training in contemporary analytical tools, including STATA, R, EViews, and Machine Learning applications.

    Developed by the Department of Economics, the curriculum foregrounds applied quantitative reasoning, financial and macroeconomic modelling, and real-world economic problem-solving. Learners engage deeply with advanced microeconomics, macroeconomics, financial economics, econometric theory, and time-series forecasting, enabling them to critically interpret complex socio-economic and financial phenomena.

    Aligned with clearly articulated Graduate Attributes, Programme Educational Objectives (PEOs), Programme Outcomes (POs), and Programme Specific Outcomes (PSOs), the programme emphasises analytical rigour, technological proficiency, ethical research practices, and interdisciplinary thinking. Through software-intensive coursework, a mandatory internship, and a full-length econometric research dissertation, students develop the capacity to design empirical studies, analyse large datasets, and translate evidence into actionable insights for industry, government, and policy institutions. The integration of machine learning into the econometric framework positions graduates for leadership roles in analytics-driven, research-oriented environments across a data-intensive global economy.

    Start Date
    August 2026
    Duration

    1 Year

    Study Campus

    #44/4, District Fund Road
    Jayanagar 9th Block
    Bengaluru – 560069

    Degree Awarded

    MA in Applied Econometrics 

    Total Number of Credits

    42 Credits

    Eligibility

    The minimum qualification required to apply for this programme is 55 percent marks in 4 Years UG in Economics, Statistics, Mathematics, Science, Commerce and Engineering degrees from a recognised university or institution.

    Modules

    Semester I
      • Advanced Microeconomics
      • Advanced Macroeconomics
      • Advanced Econometric Theory
      • Applied Econometric Methods and Software
      • Time Series Econometrics and Forecasting with EViews
      • Advanced Financial Economics
    Semester II
      • Microeconometrics: Methods and Applications
      • Applied Macroeconometric Modelling
      • Panel Data Econometrics with STATA
      • Financial Econometrics with R Programming
      • Machine Learning for Econometrics
      • Econometric Research Project and Dissertation
      • Internship

    Course Highlights

    • Advanced Econometric Competence
      Comprehensive training in microeconometrics, macroeconometrics, time-series analysis, panel data econometrics, and financial econometrics using industry-standard tools such as STATA, R Programming, and EViews.

    • Strong Theoretical Foundations
      In-depth engagement with Advanced Microeconomics, Advanced Macroeconomics, Financial Economics, and Econometric Theory to enable rigorous economic reasoning and policy analysis.

    • Hands-on Software-Based Learning
      Extensive lab-based training in applied econometric methods, forecasting models, computational analysis, and data interpretation.

    • Machine Learning Integration
      Dedicated modules in Machine Learning for Econometrics, enabling students to enhance predictive accuracy, manage large datasets, and apply modern analytical algorithms.

    • Industry-Relevant Curriculum Design
      Structured to meet the evolving needs of financial institutions, government agencies, research organisations, think tanks, and analytics-driven industries.

    • Research-Intensive Training
      A full-length Econometric Research Project and Dissertation focused on independent empirical inquiry, model specification, estimation, and scholarly reporting.

    • Mandatory Internship Exposure
      Real-world immersion in applied economic analysis, forecasting, and policy evaluation, strengthening professional readiness.

    • NEP and Global Alignment
      Designed to foster critical thinking, ethical responsibility, leadership, and multidisciplinary engagement in line with national and international academic benchmarks.

    Career Enhancement Programmes

    The programme offers structured career enhancement initiatives that strengthen analytical depth, software proficiency, and professional preparedness through:

    1. Industry-Relevant Certifications

    • Certificate Course in Applied Econometrics and Statistical Data Analysis
    • Certificate Course in Financial Econometrics and Forecasting
    • Software Certification in STATA / EViews
    • Certification in R Programming / Python for Data Science
    • Machine Learning and AI courses via Coursera, LinkedIn Learning, and SWAYAM

    2. Research and Professional Mentorship

    • One-to-one academic mentoring for dissertation and research design
    • Career guidance for analytics, finance, consulting, and policy roles
    • Resume development, interview preparation, and career profiling
    • Coaching for competitive examinations (RBI, NABARD, SEBI, IES, UGC-NET)
    • Placement readiness through mock interviews and domain-specific assessments
    Applied Econometrics

    Career Outcomes

    Graduates of the Applied Econometrics programme are well-prepared for diverse and evolving professional pathways, including:
     
    Applied Economic & Econometric Analysis
    Graduates shape evidence-based decisions by designing, estimating, and validating econometric models. They explain economic behaviour and forecast outcomes. They analyse complex data to evaluate market trends, policy effects, and financial dynamics. They turn quantitative evidence into insights that guide organisations, regulators, and stakeholders. Their responsibilities ensure transparent models, data integrity, and careful interpretation of results in high-stakes contexts.
     
    Data-Driven Decision-Making & Digital Analytics
    Graduates drive analytics with econometric reasoning, data tools, and machine learning. They clean, model, and interpret large datasets to enable predictions, assess risk, and evaluate performance. This pathway stresses ethical data use, accountable algorithms, and responsible analytics in business, finance, and public systems.
     
    Policy Research, Governance & Public Impact
    Graduates create public value by turning empirical research into policy evidence. They support impact assessments, regulatory analysis, and socio-economic evaluation for governments, think tanks, and international organisations. By combining econometric rigour, research skills, and communication, they support policy that is transparent, inclusive, and data-driven, in line with national priorities and NEP 2020.
     
    Financial, Market & Risk Analytics
    Graduates analyse financial systems and markets using quantitative models and forecasting. They support decisions in banking, investment, insurance, and corporate finance by interpreting economic signals and testing assumptions. Their work relies on ethical judgment, regulatory awareness, and precision to help ensure financial stability and responsible growth.
     
    Research, Academic & Knowledge-Creation Pathways
    Graduates design and conduct independent research, contributing to academics, doctoral studies, and research roles. They learn to frame questions, manage data, and communicate findings clearly. This pathway encourages lifelong learning, integrity, and advances economic knowledge in global research settings.
     
    These pathways show a strong base in analytical thinking, ethics, and adaptability. Graduates stay relevant and impactful as economic roles, technology, and societal needs change.

    Ready to take the next step? Our counsellors are here to provide you with more information about the programme.
    Call us +91 73376 13222

    Not sure of your choice? Visit us at the Admissions Office located in Jayanagar 9th Block and meet us.
    Access the map here.

    FAQ's

    The programme develops advanced quantitative, econometric, and analytical skills. It combines theoretical economics with hands-on training in software such as STATA, R, and EViews. Students also gain experience with machine learning applications, enabling them to analyse and interpret complex economic and financial data.

    The programme is designed for graduates in Economics, Statistics, Mathematics, Finance, Commerce, Data Science, or related fields. It is especially beneficial for students interested in quantitative research, data analytics, financial modelling, or policy analysis.

    Students receive extensive training in industry-standard analytical tools, including Stata, R, EViews, Python (optional), and machine learning frameworks. These tools are integral to modern-day econometric modelling and data-driven decision-making.

    Graduates can work as Econometricians, Data Analysts, Financial Analysts, Research Associates, Policy Analysts, or Machine Learning Analysts. They can become Forecasting Specialists and apply for positions in banking, consulting, think tanks, government agencies, and financial institutions. The programme also prepares students well for a PhD and advanced research.

    Yes. The curriculum includes a full Econometric Research Project and Dissertation, as well as a mandatory Internship. These components provide real-world exposure, enhance problem-solving skills, and strengthen readiness for professional and academic careers.

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