COURSE CURRICULUM

In Year 1, the program provides a solid foundation in core mathematical concepts and applications. Students begin with Calculus I, where they learn the fundamentals of limits, derivatives, integrals, and infinite series, focusing on problem-solving techniques. Computational Mathematics enhances programming skills using Python and MATLAB, preparing students for the modern demands of the industry, such as algorithm implementation and data visualization. Linear Algebra introduces essential topics like matrices, vectors, and eigen theory, which are foundational in many advanced mathematical applications. In Mathematical Foundations, students explore proof techniques and mathematical concepts such as sets, functions, and complex numbers. Mathematical Models equips students with the ability to apply mathematics to real-world scenarios, from biology to physics, by using algebraic solutions and ordinary differential equations. Statistical Theory and Methods I focuses on data interpretation, probability, statistical inference, and regression analysis using software tools like Minitab.Year 2 builds on these foundational skills with more applied and specialized topics. The Applications of Mathematics and Graduate Skills module allows students to solve open-ended, real-world problems while refining career-related skills. Calculus II extends previous knowledge to include multi-variable calculus and Fourier series, as well as techniques for solving more advanced differential equations. Mathematics for Finance introduces core financial principles and modeling techniques, using programming to simulate and solve financial problems. Corporate Financial Management provides insight into financial decision-making, focusing on real-world case studies and the impact of digital transformation on finance.In Year 3, the focus shifts to more advanced topics in financial mathematics. Financial Derivative Pricing involves using mathematical techniques to calculate fair prices for derivatives, particularly options, and explores complex strategies for managing risk and pricing in various financial contexts. This curriculum prepares students for careers in finance, data analysis, and mathematical modeling, blending theory with practical skills in a variety of professional settings.