Masters Compare - Find your perfect masters course.
Masters Compare - Find your perfect masters course.
Study Details: Full time: 1 year (MSc), 9 months (PGDip, PGCert) Part time: 2 years (MSc), 18 months (PGDip, PGCert)
Predictive Modelling is a fusion of mathematical modelling, machine learning and scientific computing, providing a powerful new way of thinking about how to model complex systems and improve technology and design.
Enhancements in computer processing power and access to ‘Big Data’ have led to a growth in the number of applications of predictive modelling into areas as diverse as environmental science, energy, healthcare, materials engineering, food science and geology.
A minimum 2:1 undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject.
Please note that applicants will need post A2 Level (or equivalent) knowledge in Mathematics, covering topics such as linear algebra, calculus and analysis, including differential equations, as well as probability and statistics. This could be gained through mathematics modules taken as part of an undergraduate course. It is expected that candidates have a good understanding of these topics at the start of their MSc studies.
This course equips graduates for further study in areas of critical science and technological importance, or for employment in a broad range of data-intensive industries where modelling, design and decision making under uncertainties is important. We have strong links with a range of potential employers such as Jaguar Land Rover, Dassault Systèmes and UKAEA.
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University information Founded in 1965, the University of Warwick is ranked 74th in the QS World University Guide 2026, is the youngest member o...
