BSc (Hons) Scheme in in Applied Mathematics and Finance Analytics (Applied Mathematics / Investment Science and Finance Analytics / Quantitative Finance and FinTech)
48 monthsProgramme duration
25,641 USDTuition Fee/year
15 May, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Finance
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This 4-year full-time Scheme is designed to nurture future finance analysts, 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 and essential mathematical and statistical training to prepare students to pursue careers in the evolving digital finance landscape or to further their studies in related fields. The Scheme consists of the following three major programmes:
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.
BSc (Hons) in Investment Science and Finance Analytics is concerned with the strategic use of data and mathematical modelling in financial analysis and investment decision-making. 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.
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.
Programme overview
Main Subject
Finance
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This 4-year full-time Scheme is designed to nurture future finance analysts, 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 and essential mathematical and statistical training to prepare students to pursue careers in the evolving digital finance landscape or to further their studies in related fields. The Scheme consists of the following three major programmes:
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.
BSc (Hons) in Investment Science and Finance Analytics is concerned with the strategic use of data and mathematical modelling in financial analysis and investment decision-making. 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.
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.
Admission Requirements
Tuition fees
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