Postgraduate Diploma in Mathematical Modelling

Advance your knowledge and understanding of interdisciplinary mathematical modelling and gain skills in modelling-specific technical advances and computational methods. At present, mathematical modelling is enjoying a high degree of public awareness, with real-world applications such as COVID-19 and climate modelling frequently appearing in the news. Consequently, there is a growing need for a broad range of realistic modelling techniques and expertise in advanced computational methods. The PGDipMathModel provides a pathway for modelling scientists and engineers to upskill. The PGDipMathModel comprises four core Engineering Science and Mathematics courses, and a broad range of electives.

You must have completed an undergraduate degree in a relevant subject at a recognised university (or similar institution) with a GPE of 3.0.

You must have completed an introductory programming course in MATLAB, C, Python, or similar coding language, and an advanced undergraduate course on partial differential equations, or the equivalents as approved by the Programme Director.

Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.

IELTS (Academic) - Overall score of 6.5 and no bands below 6.0
Internet-based TOEFL (iBT) - Overall score of 90 and a written score of 21
Paper-based TOEFL - Overall score of 68 and a writing score of 21