The curriculum is designed with the objective of equipping the graduate with rigorous training needed for the new economy, and with the mindset for continual life-long learning in order to adapt to changes. Provision is made to ensure breadth in knowledge and competency in useful skills such as communication, while depth is ensured through the requirements for the major. For the Major in Mathematical Sciences, apart from analytical and reasoning skills, together with problem-solving skills, acquired through the learning of rigorous mathematical concepts, students will also be able to pick up computing skills, technical communication techniques, as well as have the opportunity to learn how mathematics is connected with other disciplines such as biology, computer science, economics and finance. Opportunities for deeper investigations in the subject are also provided for students who seek extra challenge through special Courses, supervised independent study and research projects.
Given the broadness of mathematical sciences, three distinct tracks – in...
1) Pure Mathematics,
2) Applied Mathematics, and
3) Statistics
are offered within the Major in Mathematical Sciences, catering to students with different interests.
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This is a new combined degree jointly offered by the Division of Mathematical Sciences in the School of Physical and Mathematical Sciences and the Division of Economics in the School of Humanities and Social Sciences. Students will learn how mathematics is applied to model economic decisions, make economic forecasts; in general how mathematics is a powerful tool for modeling economic and financial market activities. The curriculum is designed with an emphasis on both depth and breath. The core Courses in Mathematics and Economics ensure a solid quantitative grounding in both disciplines while the electives provide students with a choice to concentrate in an area of interest, for example, in Applied Economics, Econometrics or Theoretical Economics. The programme also provides an excellent coverage of Mathematics, Statistics and Economics that are highly relevant to related disciplines such as Actuarial Science and Finance.
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