Postgraduate Certificate in Mathematical Modelling

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 PGCertMathModel provides a pathway for modelling scientists and engineers to upskill. The PGCertMathModel comprises core Engineering Science and Mathematics courses as well as electives.

Taught 60 points

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 less than 6.0; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.