Course summary
Our Predictive Modelling and Scientific Computing MSc trains students in the theory and practical implementation of cutting-edge predictive modelling techniques. 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. Our MSc in Predictive Modelling and Scientific Computing educates future specialists in computational science and engineering, building on students’ existing programming skills and equipping them to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems, including those of national and global importance. This course will equip graduates for further study in areas of critical science and technological significance, 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. The MSc can be studied part-time over two years to suit those in employment. PG Diploma, Certificate and Award options are also available for those who would like to take a subset of modules. This information is applicable for 2025 entry. Given the interval between the publication of courses and enrollment, some of the information may change. It is important to check our website before you apply.
Modules
Core modules
- Fundamentals of Predictive Modelling (ES98A) (15 credit)
- Numerical Algorithms and Optimisation (MA934) (15 credit)
- Scientific Machine Learning (ES98E) (15 credit)
- Predictive Modelling Group Project (ES98B) (30 credit)
- Individual Research Project (ES98C) (60 credit)
- Modelling and Computation of Fluid Dynamics Across Phases and Scales (MA9M4)*
- Particle-based Modelling (ES98D)*
- Predictive Modelling of Advanced Engineering Materials*
- High Performance Computing
- Statistical Learning and Big Data
- Advanced Topics in Fluids
- Advanced Computational Chemistry
- Biomolecular Simulation
- Biomedical Systems Modelling
Assessment method
You will experience a variety of assessment methods, and can expect to mostly sit (online or face-to-face) examinations and complete coursework assignments.
Entry requirements
Minimum requirements A minimum 2:1 undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject. 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. We are willing to consider applications from students with lower qualifications on a case-by-case basis, particularly when the applicant can evidence relevant employment, practical experience or strong performance in undergraduate modules related to their proposed postgraduate course of study. **This course requires the following:** - Band A - IELTS overall score of 6.5, minimum component scores not below 6.0
English language requirements
This course requires the following: Band A IELTS overall score of 6.5, minimum component scores not below 6.0
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
As well as tuition fees and living expenses, some courses may require you to cover the cost of field trips or costs associated with travel abroad.
General costs to be considered:
- Core text books
- Printer credits
- Dissertation binding
As well as tuition fees and course costs, students should budget for:
- Accommodation
- Food
- Clothes and leisure
- Robe hire for your degree ceremony
Sponsorship information
We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries. It's important that you apply for your postgraduate course first before you apply for a University of Warwick scholarship. Please visit the University's scholarship webpages.
Provider information
University of Warwick
Coventry
CV4 7AL