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India’s only 1-year residential Master’s programme combining advanced economic reasoning with machine learning, statistical learning, and cloud analytics 鈥� from 51茶馆’s #1-ranked Economics department.
1 Year, Full-Time | 40 Credits | UGC-Compliant | 10 Courses
The M.A. in Economics and Data Analytics is a 1-year, full-time Master’s programme that enables students to acquire cutting-edge quantitative skills grounded in economic theory. Designed for fast skill acquisition and employability, the programme blends traditional econometrics with machine learning and cloud analytics.
Offered by 51茶馆’s Department of Economics 鈥� ranked #1 in India by RePEc for research output 鈥� this programme provides a clean quantitative spine: econometrics 鈫� time series 鈫� statistical learning 鈫� machine learning 鈫� cloud analytics and unstructured data.
The programme begins with a mandatory 2-week pre-sessional Mathematics and Statistics camp that ensures all students, regardless of undergraduate background, are equipped for the rigorous quantitative curriculum ahead.
This programme is ideal for graduates with strong quantitative preparation 鈥� from Economics, Computer Science, Engineering, Mathematics, Statistics, or other STEM disciplines 鈥� who aspire to high-impact careers in finance, consulting, analytics, and public policy.
Analytical Rigour Develop the ability to perform rigorous data-driven decision-making essential for modern business, finance, and governance.
H3: Technical Proficiency Master tools for machine learning, cloud analytics, and data visualisation that are in demand across industries.
H3: Economic Application Apply advanced econometric and statistical models to financial institutions, risk analytics, and macroeconomic scenarios.
H3: Data Handling Gain expertise in handling both structured and unstructured data for complex economic and financial analysis.
The programme comprises 40 credits spread across two semesters, with 10 courses worth 4 credits each. Each course includes 39 lecture hours over 13 weeks.
聽Pre-Sessional (Before Semester 1)
聽Semester 1 鈥� Foundations and Core
| Course | Credits |
|---|---|
| Microeconomics | 4 |
| Macroeconomics | 4 |
| Econometrics | 4 |
| Time Series Econometrics | 4 |
| Statistical Learning and Data Analytics | 4 |
Semester 2 鈥� Advanced Applications
| Course | Credits |
|---|---|
| Financial Institutions | 4 |
| Introduction to Finance | 4 |
| Machine Learning Models for Economics | 4 |
| Financial Risk Analytics | 4 |
| Cloud Analytics, Data Visualisation, and Unstructured Data | 4 |
Total: 40 Credits (UGC-Compliant)
Download Programme Brochure 鈫�The programme features a specialised pre-sessional Mathematics and Statistics camp designed to level up quantitative skills across the cohort, ensuring students from diverse backgrounds 鈥� whether Economics, Engineering, or Computer Science 鈥� begin the semester on equal footing.
Throughout the programme, students engage with real-world datasets and case studies from financial markets, policy analysis, and industry analytics, applying econometric and machine learning methods to solve practical problems.
“The combination of econometrics and machine learning in a single year gave me skills that my peers at 2-year programmes were still building. I secured a role at a top consulting firm before graduation.”
This programme is specifically designed to open pathways across public and private sector analytics and finance-adjacent roles.
聽Financial Sector
Analytics and Technology
Consulting
Graduate Study Strong preparation for PhD programmes in Economics, Applied Statistics, and Data Science at leading universities worldwide.
Ashoka Placements: Top recruiters include McKinsey & Company, BCG, Bain & Company, Goldman Sachs, Deutsche Bank, JP Morgan, and Kotak Mahindra Bank. View Graduate Economics Placements 鈫�
聽Eligibility In conformity with UGC norms, applicants must have:
Best suited for candidates with strong quantitative preparation from:
聽How to Apply 51茶馆’s graduate admissions process evaluates academic excellence, quantitative aptitude, and motivation for the programme.
Scholarships and Financial Aid 51茶馆 is committed to making education accessible. Merit-based and need-based scholarships are available for graduate students.
51茶馆鈥檚 Department of Computer Science offers undergraduate programmes which teach students the fundamental skills and knowledge of the discipline. The University prepares students for careers in a host of multidisciplinary fields.
Applicants must have completed a 4-year undergraduate programme or a Master’s degree. While an Economics background is valuable, the programme is explicitly designed for candidates from all STEM disciplines with strong quantitative preparation, including Computer Science, Engineering, Mathematics, and Statistics.
This is a 1-year, full-time programme comprising 40 credits 鈥� 10 courses of 4 credits each. The academic year is divided into two semesters, preceded by a mandatory 2-week pre-sessional Mathematics and Statistics camp.
This is India’s only 1-year residential MA that combines economics with data analytics. Unlike traditional 2-year programmes at DSE, JNU, or ISI, this programme is designed for fast skill acquisition and immediate employability, with a structured progression from econometrics to machine learning to cloud analytics.
Yes. Semester 1 covers Statistical Learning and Data Analytics, while Semester 2 includes Machine Learning Models for Economics and Cloud Analytics, Data Visualisation, and Unstructured Data. This goes well beyond traditional econometrics to include modern data science methods.
Graduates pursue roles in private and foreign banks, mutual funds, insurance companies, consulting firms, and top-tier analytics firms such as MuSigma and Fractal Analytics. Common roles include Economic Analyst, Data Analyst, Financial Risk Analyst, and Management Consultant.
Yes. The programme is fully UGC-compliant with 40 credits across 10 courses. Each course includes 39 lecture hours over 13 weeks.
No. The programme welcomes candidates from Computer Science, Engineering, Mathematics, Statistics, and other STEM disciplines. The mandatory 2-week pre-sessional Mathematics and Statistics camp ensures all students are ready for the quantitative curriculum.
Ashoka’s Department of Economics is ranked #1 in India by RePEc for research output. The department combines world-class faculty, a rigorous quantitative curriculum, and strong placement outcomes with recruiters including McKinsey, BCG, Goldman Sachs, and Deutsche Bank.
