Overview
The Department of Mathematics offers a program that provides a solid foundation in mathematical theories, problem-solving techniques, and analytical reasoning. The curriculum includes areas like algebra, calculus, and statistics.
The Department of Mathematics offers a program that provides a solid foundation in mathematical theories, problem-solving techniques, and analytical reasoning. The curriculum includes areas like algebra, calculus, and statistics.
Algebra & Calculus
Probability & Statistics
Mathematical Modelling
Applied Mathematics
This foundational area covers core mathematical concepts essential for advanced studies and applications. In Algebra, students explore equations, inequalities, matrices, vectors, and polynomial functions. Calculus focuses on limits, derivatives, integrals, and their applications in real-world scenarios such as motion, growth, and optimization. Together, these subjects strengthen problem-solving skills and provide a base for more complex mathematical disciplines.
This subject introduces the concepts of data analysis, statistical inference, and probability theory. Students learn to collect, organize, and interpret data, as well as model uncertainty and make informed predictions. Topics include descriptive statistics, distributions, hypothesis testing, and regression analysis—skills widely applicable in fields such as data science, economics, and research.
Mathematical modelling involves formulating real-world problems into mathematical language. Students learn to develop, analyze, and interpret models that simulate systems in fields like biology, physics, economics, and engineering. The focus is on understanding relationships between variables, testing assumptions, and using mathematics as a tool to make decisions or solve practical challenges.
This area focuses on the application of mathematical techniques to solve complex problems in science, engineering, and industry. Topics may include differential equations, linear programming, numerical analysis, and computational methods. Students gain experience in applying theoretical knowledge to tangible problems, enhancing their analytical and quantitative reasoning abilities.