Computer Science and Finance interact in multiple ways. Topics in computer science, such as numerical methods and database management systems, are essential to econometricians and financial engineers who like to independently handle increasingly large and complex datasets. On the other hand, topics such as game theory have found numerous applications in edge computing, sensor networks, and social network analysis. More recently, Machine Learning and Artificial Intelligence have become indispensable tools in Finance and are being increasingly applied in empirical methods. The ability to develop sophisticated mathematical models and algorithms and write programmes to analyse big data is a unique combination coveted in both business and academia.
The BxMx Programme is aimed at creating flexible employment opportunities for students at the graduate level of education. The BS in Computer Science and MS in Quantitative Finance combines the strengths of the School of Arts and Sciences and Amrut Mody School of Management to provide students with these critical mathematical and computational skills complemented with Economics and Finance. It allows seamless movement between the two Schools and Programmes and provides students an opportunity to earn the two degrees in five years instead of six. The Programme will prepare them for doctoral studies or careers in Economics, Finance, government, and business.
Programme Outcomes
Offered by | School of Arts and Sciences and Amrut Mody School of Management |
Programme | The BxMx Programme (Dual Degree) |
Degree | Bachelor of Science in Computer Science and Master of Science in Quantitative Finance |
Minimum Programme Credits | 180 |
All students entering the undergraduate programme complete our common core, The Foundation Programme, in the first year. The Foundation Programme is designed around four Studios, each of three credits. They are:
Democracy and Justice
Environment and Climate Change
Neighbourhoods
Water
The studios deliver interdisciplinary learning around six domains:
Data Science, Communication, Behaviour, Constitution & Civilisation, Materials, and Biology & Life.
Humanities & Languages GER |
Social Sciences GER |
Biological & Life Sciences GER |
Mathematical & Physical Sciences GER |
Performance & Visual Arts GER |
GER Elective 1: Communication I |
GER Elective 2: Communication II |
GER Elective 3: Multivariable Calculus |
GER Elective 4: Any course at the university outside the major |
GER Elective 5: Any course at the university outside the major |
Major Requirements | Credits |
---|---|
Major Core | 33 |
Fundamentals of Computer Programming | |
Discrete Mathematics | |
Introduction to Data structures and Algorithms | |
Computer Organisation | |
Operating Systems | |
Probability | |
Mathematical Statistics | |
Database Management Systems | |
Applied Linear Algebra | |
Theory of Computation | |
Computer Networks | |
Major Electives | 15 |
Free Electives provide flexibility to students to customise their education at the University.
All students will complete 30 hours of engagement with society to develop a sense of engagement, concern, build problem solving skills, and understand the role of an engaged member of a society. This will be done through a mandatory course, Engagement with Society, that would be a graduation requirement. This course can be taken anytime during the stay at the University but it is advised that the student engage with the courses during the first two years at the University. The 30 hours of volunteer work may be completed during one semester or during the Winter or Summer Break.
Credits | |
---|---|
Foundation Module | Required |
Modelling for Managerial Decisions | |
Programming using R and Python | |
Programme Core | 25.5 |
Microeconomics I | 3 |
Microeconomics II | 3 |
Macroeconomics I | 3 |
Macroeconomics II | 3 |
Foundation of Finance and Financial Markets | 3 |
Econometrics | 3 |
Security Analysis and Portfolio Management | 3 |
Corporate Finance | 1.5 |
Applications of Machine Learning | 3 |
Disciplinary Core | 22.5 |
Financial Derivatives | 3 |
Risk Management | 3 |
Mergers, Acquisitions & Private Equity | 3 |
Financial Time Series Analysis | 3 |
Fixed Income Securities and its Derivatives | 3 |
Asset Pricing | 3 |
Research in Quantitative Finance | 3 |
Technical Analysis | 1.5 |
Disciplinary Electives | 15 |
Summer Internship | 3 |
Thesis/Capstone | 6 |
Eligibility Criteria
Exit Option: If a student decides to exit the Programme with a Bachelor’s degree, they must fulfil the requirements of the Bachelor of Science (Honours) in Computer Science.