The Mathematics & Computational Thinking major will provide you the opportunity to pursue a wide range of courses in pure and applied mathematics and statistics. The core courses include Calculus, Linear Algebra, Discrete Mathematics, Number Theory, Computational Mathematics, Statistics, Differential Equations and Complex Analysis. Prescribed electives that allow you to study mathematics in depth include Real Analysis, Modern Algebra, Galois Theory, Modelling with Differential Equations, Graph Theory, Operations Research and Applied Statistics. Premised on Computational Thinking as the conceptual foundation required to solve problems effectively and efficiently, the curriculum has a balanced emphasis on computability, constructive proofs, computer-based modelling and exploration. You will be exposed to coding and the use of mathematical software commonly used by many research mathematicians. You will deepen your core mathematical skills of problem solving and reading and writing of mathematics through a foundational course in mathematical problem solving and a capstone final year project.
Programme Structure & Duration
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