The BxMx Programme offers students, pursuing BS in Mathematical and Computational Sciences, the opportunity to seamlessly transition into MS in Quantitative Finance. This unique career trajectory is designed for those with a foundational understanding of the principles governing various phenomena, as taught in undergraduate Mathematical and Computational Sciences programmes, and wishing to integrate this knowledge with the context-specific understanding of financial and economic systems required for a successful career in quantitative finance.
The Programme allows students to develop cross disciplinary skills encompassing analytical thinking and problem-solving which are crucial in mathematical and computational sciences and quantitative finance. By integrating these fields, students can acquire a diverse skill set in mathematical modelling, data analysis, and critical thinking, equipping them for quantitative roles in finance, economics, or related fields.
The Programme recognises the value of mathematical and computational sciences in understanding complex systems, a skill that can be applied to financial and economic models. Concepts from mathematical and computational sciences, such as statistical analysis, network theory, and computational modelling, can aid in analysing and modelling the behaviour of financial markets and economic systems.
Moreover, the Programme acknowledges the strong foundation in mathematical modelling that mathematical and computational sciences provide which can be extended to develop sophisticated models for financial markets. By integrating the two, students can gain a deeper understanding of the underlying principles of financial models, risk management, and derivative pricing.
The interdisciplinary nature of the Programme also enables students to contribute to cutting-edge research in areas such as market microstructure, econophysics, behavioural economics, and quantitative risk analysis. Machine Learning and Artificial Intelligence have become indispensable tools in Finance and are being increasingly applied in empirical methods. Many pressing challenges in finance and economics require interdisciplinary approaches, and the integration of mathematical and computational sciences with these fields fosters collaboration among experts from different disciplines and can lead to innovative solutions.
Lastly, graduates of the Programme can explore a wide range of career opportunities. With expertise in mathematical and computational sciences and quantitative finance, they can pursue roles in quantitative trading, risk analysis, financial engineering, economic consulting, data analysis, and research. The integration of these fields equips graduates to adapt to various sectors, including finance, technology, energy, and government.
To strike a balance between each discipline, the Programme offers a strong foundation in mathematical and computational sciences and quantitative finance. It also incorporates interdisciplinary coursework and research opportunities. Additionally, collaborations with industry and research institutions bridge theory and practice.
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 Mathematical and Computational Sciences 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 and Languages GER |
Social Sciences GER |
Biological and Life Sciences GER |
Mathematical and Physical Sciences GER |
Performance and Visual Arts GER |
GER Elective 1: Communication I |
GER Elective 2: Communication II |
GER Elective 3: Any course at the university outside the major |
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 |
Probability | |
Mathematical Statistics | |
Discrete Mathematics | |
Design and Analysis of Data structures and Algorithms | |
Applied Linear Algebra /Advanced Linear Algebra | |
Differential Equations | |
Multivariable Calculus | |
Introduction to Real Analysis | |
Machine Learning | |
Artificial intelligence (AI) | |
Mathematical Modelling | |
Major Electives | 18 |
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 |
Communication and Writing Skills | |
Modelling for Managerial Decisions | |
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 | Required |
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 Mathematical and Computational Sciences.