**Mathematical Sciences** is a broad term that includes the academic disciplines of Pure Mathematics, Applied and Computational Mathematics, and Statistics. It also includes subfields of computer science, engineering, life sciences, physical sciences, and social sciences, in which mathematical methods play an important role.

The Division of Mathematical Sciences offers the following four-year undergraduate degree programmes:

- BSc (Hons) in Mathematical Sciences
- BSc (Hons) in Mathematical Sciences with Minor in Finance
- BSc (Hons) in Data Science and Artificial Intelligence
- Bsc (Hons) in Mathematical and Computer Sciences (Double Major)
- BSc (Hons) in Mathematical Sciences and Economics (Double Major)
- BSc (Hons) in Physics and Mathematical Sciences (Double Major)

During the first two years of study, students read common core courses covering the fundamental topics of mathematics: calculus, linear algebra, discrete mathematics, probability, scientific programming, and mathematical exposition. This builds a strong foundation of mathematical knowledge, providing maximum flexibility for choosing more advanced topics of study.

In the last two years, students will tailor their course of study to their interests, focusing on one of four tracks:

*Pure Mathematics*– topology, abstract algebra, number theory, differential geometry, etc.*Applied Mathematics*– numerical analysis, optimization, coding theory, cryptography, etc.*Statistics*– regression analysis, stochastic processes, time series analysis, etc.*Business Analytics*– algorithms, business operations and processes, optimization, etc.

Students in the Mathematical Sciences with Minor in Finance, Mathematical Sciences and Economics (Double Major), Mathematical and Computer Sciences (Double Major), and Data Science and Artificial Intelligence programmes also take courses in a second area of study.

Our graduates have gone on to satisfying careers in many areas of the economy, including finance, banking, insurance, information technology, the education service, research and development (R&D), and the government. Learn more here.

“In my final year, I did a stint at Grab with the Data Science department. The programming courses in the SPMS curriculum positioned me well for the role. My work involved web scraping and data processing, and some of the skills I gained have proven useful in my subsequent role at a proprietary trading firm.”

**Elwin Sim**

BSc (Hons) in Mathematical Sciences, Class of 2018

Junior Trader at Flow Traders