麻豆原创

Students will receive one of the following awards upon completion of the programme:

• BSc (Hons) in Applied Mathematics (subject to approval)
• BSc (Hons) in Investment Science and Finance Analytics
• BSc (Hons) in Quantitative Finance and FinTech (subject to approval)

Students may enrol in any awards without being subject to further assessment.

The option of taking a Secondary Major in AI and Data Analytics (AIDA) is available to the students taking the BSc (Hons) in Applied Mathematics (subject to approval) and the BSc(Hons) in Investment Science and Finance Analytics. Admission to the Secondary Major is on a competitive basis and subject to a different credit requirement for graduation. Please see the Secondary Major Details section below for further information.

Aims & Characteristics

All admitted students embark on a Common Year One curriculum. After their first year of study, students can decide whether to continue with their initial choice or switch to another choice within the Faculty of Computer and Mathematical Sciences. Those who wish to switch can choose their preferred departmental scheme/programme through a ranking assessment.

This 4-year full-time Scheme is designed to nurture future finance analytics, fintech professionals, and applied mathematicians with solid training in mathematical and statistical skills coupled with computer programming techniques, with a special emphasis on interdisciplinary applications in investment and finance. This Scheme integrates key finance analytics, quantitative finance and fintech elements as well as essential mathematical and statistical training, preparing students to pursue careers in the evolving digital finance landscape or further their studies in related fields. The Scheme consists of the following three major programmes:

The BSc (Hons) in Applied Mathematics equips students with solid knowledge in differential equations, statistical analysis, computational methods, mathematical modelling, optimisation, operations research and financial mathematics. It is suitable for students who intend to further their studies or pursue their careers in other sectors.

The BSc (Hons) in Investment Science and Finance Analytics is concerned with the strategic use of data and mathematical modelling in performing financial analysis and making investment decisions. The programme aims to cultivate investment and finance professionals with strong quantitative analysis, critical thinking and communication skills, preparing them for careers in different finance sectors such as investment banking, fund management, risk management and financial product development and pricing.

The BSc (Hons) in Quantitative Finance and FinTech is concerned with the strategic use of IT technology to integrate fintech elements such as blockchain technology, information security, algorithmic trading, robo-advising, deep hedging and various applications of machine learning, as well as for reinforcement learning in finance.

Recognition & Prospects

Career Prospects

The Scheme is meticulously designed to elevate students' analytical, critical thinking, problem-solving and communication skills, cultivating methodologies that equip graduates for a wide array of careers in sectors such as investment banking, quantitative finance, fintech, risk management, financial product development and pricing, and fund management, as well as other domains such as telecommunications, information technology, market research and pharmaceuticals. In addition, many graduates have pursued further studies in overseas, attending renowned institutions such as Oxford University, Cambridge University, Yale University, and Columbia University to pursue master's programmes.

Application Deadline: 02-June-2025