Description: The Five-Year Integrated M.Sc. in Econometrics and Data Science (FYIPGP) integrates economic theory with statistics, econometrics, programming, and data science from the undergraduate level onward. Aligned with the National Education Policy, it offers a seamless academic pathway that builds strong analytical foundations while enabling progressive specialisation. The programme emphasises hands-on, application-oriented learning using real-world economic, financial, and policy datasets, alongside training in econometric modelling and machine learning. Graduates are well prepared for high-demand careers in analytics, policy advisory, consulting, fintech, and corporate decision-making, as well as for advanced research and doctoral studies. Eligibility: Plus two from any recognized board (State, CBSE, ICSE) with 50% marks. (Result awaited students can also apply)

Intake	Syllabus
40	Click here

Description: The Master of Econometrics and Financial Technology (M.Sc.) is an Institute of Analytics (IOA) recognized four-semester programme that offers rigorous training in economics, finance, and quantitative analytical methods, combining economic theory with advanced econometric and financial technology tools for modern financial analysis. The programme emphasizes both conceptual understanding and practical application through structured laboratory courses focused on data processing, estimation, and empirical analysis using econometric software, along with a mandatory internship in industry, financial institutions, or research organizations to provide hands-on experience. Designed to develop strong analytical and problem-solving skills, the course equips students with state-of-the-art knowledge and practical expertise, preparing them for careers in academia, research organizations, financial institutions, rating agencies, and corporate enterprises. Eligibility: Bachelor's degree in Economics/ Econometrics, Finance, Data Science, Commerce, Mathematics, Statistics or B.tech with 55% marks (Final year result awaited students can also apply

Intake	Syllabus
20	Click here

Description: The Ph.D. programme at the Centre for Budget Studies offers an in-depth and comprehensive learning experience, tailored for research scholars aiming to build careers in teaching, academic research, and policymaking. The department provides rigorous training through a mandatory six-month coursework, designed to enhance students’ theoretical knowledge and develop strong analytical skills. The coursework curriculum includes advanced topics in economics and research methodology, supplemented with practical software training sessions, ensuring that students are well-prepared to conduct their research with efficiency and ease. The programme targets students with an academic background in economics, placing a particular emphasis on those interested in the field of public finance. Eligibility: Master's / UGC NET/ JRF/ PhD Only

Description: The Postdoctoral Fellowship Programme is designed for early PhD holders seeking to advance their research careers through independent and high-quality scholarly work. The programme provides a supportive academic environment that encourages innovative research, interdisciplinary engagement, and the application of advanced theoretical and empirical methods. Eligibility: PhD in Social Science Fellowship: Rs. 35,000 per month

Description: CBS is also a recognised centre for NISM courses The courses offered are : Securities Markets Foundation Certification Examination - Mutual Fund Distributors Certification Examination - Securities Operations and Risk Management Certification Examination - Equity Derivatives Certification Examination - Fixed Income Securities Certification Examination - Research Analyst Certification Examination - Alternative Investment Funds (Category I and II) Distributors Certification Examination

Description: The Internship Programme offered by CBS provides students with an opportunity to gain practical exposure to research, data analysis, and policy-oriented work in economics and related fields. Designed to bridge academic learning with real-world application, the programme enables participants to work closely with faculty and researchers on ongoing projects, develop analytical and research skills, and gain hands-on experience in data handling and empirical analysis.