Ashoka University opens applications for MA economics, data analytics programme till June 29; eligibility
Sakshi Gupta | June 12, 2026 | 04:37 PM IST | 2 mins read
One-year postgraduate programme combines economics, data analytics and machine learning for careers in finance, policy and consulting
Ashoka University has opened the final application window for its MA economics and data analytics programme. Candidates can apply on Ashoka University websites at pg-application.ashoka.edu.in. The one-year postgraduate programme is aimed at students looking to build expertise in economics, data analytics and quantitative methods, regardless of their undergraduate discipline.
Applications for the current admission cycle will close on June 29, 2026, after which selected candidates will be able to complete enrolment formalities and begin preparations for the upcoming academic session.
The admission process includes an online application, followed by an admission test. Candidates shortlisted through the test will be invited for an interview before final offers are made.
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Ashoka University PG 2026: Eligibility criteria
Candidates applying to the programme must have completed either a four-year undergraduate degree or a master's degree. While students from all academic streams are eligible, the university has encouraged applications from those with backgrounds in economics, engineering, computer science, mathematics, statistics and related quantitative disciplines.
Unlike many specialised programmes, the course welcomes applicants from a wide range of academic backgrounds. To ensure that students are able to keep pace with the curriculum, Ashoka University will begin the academic session with a two-week mathematics boot camp before the first semester starts.
Ashoka University PG 2026: MA Economics and Data Analytics curriculum
The course brings together economic theory and modern analytical tools, reflecting the changing needs of employers across industries. Students will study subjects such as microeconomics, macroeconomics, econometrics, statistical learning and data analytics during the course.
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The curriculum also includes advanced papers such as Machine Learning Models for Economics, Financial Risk Analytics, Cloud Analytics and Data Visualisation. According to the university, these courses are intended to help students develop the ability to work with large datasets, identify trends and generate insights that can support decision-making.
The course has been designed to meet the growing demand for professionals who can work with data while understanding the economic and policy implications behind it. Graduates of the programme can explore opportunities in sectors such as consulting, finance, analytics, business intelligence, public policy and research.
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