Center for Economics, Mathematics & Data Analytics | Shiv Nadar University
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Center for Economics, Mathematics & Data Analytics

The challenges that the society faces are complex and multifaceted. It requires people from different disciplines to come together and create a multidisciplinary approach without compromising the disciplinary rigors. With the advancement of computing, one promising configuration is a mix of economics, mathematics, and data. The Center for Economics, Mathematics and Data Analytics (CEMD) plans to bring together faculty members who are interested in using economic thinking, mathematical methods, use data and computational techniques to solve some of these societal problems.
The Centre for Economics, Mathematics & Data Analytics, in partnership with the Department of Economics (School of Humanities & Social Sciences) and Department of Finance Accounting & Control (School of Management & Entrepreneurship) has taken the lead to jointly offer the first ever inter-disciplinary program involving multiple schools at Shiv Nadar University, Delhi NCR. CEMD started offering B.Sc. (Research) in Economics and Finance from the academic year 2020-21 and M.Sc. in Economics and Finance from the academic year 2021-22.

BSc (Research) in Economics & Finance

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Key Information

Centre: Centre for Economics, Mathematics & Data AnalyticsTotal Credits: 155
Department:  Department of Economics
                            Department of Finance, Accounting & Control

Core Credits: 77
Major Electives: 24
Internship:  12
CCC + UWE:  42
(Minimum CCC and UWE credits required are 18 and 18 respectively)


The curriculum of the analytically, and quantitatively focussed undergraduate program in Economics & Finance is designed to provide the students with a broad and deep understanding of forces that influence markets and institutions in general, and financial markets and financial institutions in particular. The curriculum balances rigorous economic and finance theory with an exhaustive quantitative focus that will enable the students to translate theory to practice. In order to develop the necessary analytical and quantitative skills, in addition to courses in economics and finance, students will also take courses in mathematics, and statistics. The undergraduate program will provide them with the tools that underpin both the theoretical and quantitative aspects of economics and finance. Additionally, students will take up a course in computing for the purpose of practical applicability; a course in academic writing with the aim of developing effective written communication; and a research seminar that will give the students first-hand research experience. The programme will culminate in a semester-long internship in the final semester, or a research thesis (subject to mutual agreement between the student and a faculty advisor).

Career Outcome:
This program will provide students with a platform to pursue, according to their own interest, a wide range of career paths including financial services, analytics, banks, consulting, policy institutes, regulatory bodies, think tanks, and higher education, amongst others.


Students from all backgrounds are encouraged to apply for the BSc (Research) in Economics and Finance. However, students must have taken Mathematics up to Class XII to be eligible for the selection process to this programme. Detailed information about the admission process can be found at the Admissions webpage of the university:

An Example of a Semester-wise Schedule

1st Year

Semester 1
1. Academic Writing
2. Logic & Scientific Reasoning
3. Principles of Microeconomics
4. Calculus I

Semester 2
1. Introduction to Financial Accounting
2. Principles of Macroeconomics
3. Intermediate Microeconomics
4. Probability

2nd Year

Semester 3
1. Game Theory
2. Intermediate Macroeconomics
3. Introduction to Computing and Programming
4. Statistics

Semester 4
1. Corporate Finance
2. Financial Markets and Institutions
3. Introductory Econometrics
4. Departmental Elective I

3rd Year

Semester 5
1. Financial Econometrics
2. Investment Analysis and Portfolio Management
3. Management and Cost Accounting
4. Departmental Elective II

Semester 6
1. FinTech
2. Options, Futures and Derivatives
3. Departmental Elective III
4. Departmental Elective IV

4th Year

Semester 7
1. Research Seminar
2.Departmental Elective V
3.Departmental Elective VI
4.Departmental Elective VII

Semester 8
Internship (12 credits)