Academic unit

Department of Mathematics

Excellence in research and a commitment to deliver effective and quality teaching programs are the two pillars on which the Department of Mathematics is based. This commitment applies equally to the department’s two overlapping groups: one interested in pure and applied mathematics, and the other in mathematical sciences and applications. The faculty in the first group are mathematicians, mainly interested in mathematical merits; the faculty in the second group are mathematical scientists, engineers or statisticians, mainly interested in the scientific content of the subject matter they are investigating. The two groups interact and complement each other’s strengths and knowledge.

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At a Glance

as of Oct 2025

Faculty members

Undergraduate students

Postgraduate students

Undergraduate Programs

BSc in Mathematics
A rigorous training in pure and applied mathematics, preparing students for research, quantitative industry roles and further study.
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BSc in Mathematics and Economics (Joint School Program)
A joint-school quantitative program that unites mathematical rigor with economic theory for finance, policy and research careers.
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BSc in Data Science and Technology (Joint School Program)
A joint-school program in data science, spanning statistical foundations, computation and applications across science and technology.
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Postgraduate Programs

MSc in Financial Mathematics
Quantitative finance, stochastic modeling and computational methods for the financial industry.
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MSc in Mathematics for Educators
Deepens mathematical knowledge and pedagogy for teachers and education professionals.
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MSc in Big Data Technology (Joint School Program)
A joint-school taught program on large-scale data systems, analytics and applications in science and industry.
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MSc in Data-Driven Modeling
Jointly offered by Physics and Mathematics, training scientists to build models from data across physical and complex systems.
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MSc in Financial Technology (Joint School Program)
A joint-school program at the intersection of finance, computing and quantitative methods.
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MPhil in Mathematics
Research training in pure mathematics, applied mathematics, statistics and related fields, with a thesis based on original work.
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PhD in Mathematics
Doctoral research across the department’s strengths, from algebra, geometry and analysis to applied, computational and financial mathematics.
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