MSc/PGDip/PGCert/PGA Predictive Modelling and Scientific Computing at University of Warwick

A course combining mathematical modelling, machine learning and scientific computing to model complex systems, building on research at the Warwick Centre for Predictive Modelling. It trains computational science and engineering specialists and sits in the Science for Sustainable Futures portfolio, with PGDip, PGCert and PGA options for those taking a subset of modules.

Department: Engineering  |  Duration: MSc 1 year full-time (9 months for PGDip, PGCert and PGA); part-time 2 years (MSc), 18 months (PGDip, PGCert), 1 year (PGA)  |  Intake: 29 September 2026  |  Study mode: full-time  |  Location: Coventry, England, United Kingdom

What you will study

The 180-credit MSc comprises a 30-credit group project with skills training, six 15-credit taught modules and a 60-credit research project. Core modules are ES98A Fundamentals of Predictive Modelling, MA934 Numerical Algorithms and Optimisation and ES98E Scientific Machine Learning, with optional core modules in fluid dynamics, particle-based modelling and advanced engineering materials.

Career pathways

Graduates are prepared for further study or for data-intensive industries where modelling and decision making under uncertainty matter, including environmental science, energy, healthcare, materials engineering, food science and geology.

Official programme page