Modules

• Three taught core modules (15 credits each)
• Group project (30 credits)
• Individual research project (60 credits)
• Three taught optional modules (15 credits each)

Core Modules

Core modules cover uncertainty quantification, predictive modelling and scientific computing:

• Fundamentals of Predictive Modelling (ES98ALink opens in a new window) (15 credit)
• Numerical Algorithms and Optimisation (MA934Link opens in a new window) (15 credit)
• Scientific Machine Learning (ES98ELink opens in a new window) (15 credit)

Predictive Modelling Group Project (ES98BLink opens in a new window) (30 credit)

Predictive modelling group project with training in key professional and research skills and collaborative writing. Groups of students will create a complex piece of predictive modelling research software using methods and design principles introduced in previous modules in the course.

Individual Research Project (ES98CLink opens in a new window) (60 credit)

Each student will conduct significant and novel research as an individual project, and present the background and findings in the form of a dissertation. The research question must address some aspect of modelling, resulting in new knowledge, methodology or understanding, accompanied by uncertainty quantification. Example project titles include:

• Predictive modelling of composite materials for hydrogen storage
• Data-driven discovery of differential equations for interfacial flows
• Multi-physics approaches for rocking wave bioreactors
• Bouncing drop dynamics across scales
• Generation of nickel-based superalloy structures with realistic short-range ordering

Optional Modules (choose 3)*

The choice of three optional modules gives students the opportunity to specialise the application focus of the course to align with their interests.

Students are required to take at least one of the following optional modules:

• Modelling and Computation of Fluid Dynamics Across Phases and Scales (MA9M4Link opens in a new window)
• Particle-based Modelling (ES98DLink opens in a new window)
• Predictive Modelling of Advanced Engineering Materials (ES98FLink opens in a new window)

Other optional modules are likely to include:

• Mathematical and Computer Modelling (ES4C3Link opens in a new window)
• Quantum Chemistry (PX919)
• High Performance Computing (PX457Link opens in a new window)
• Advanced Topics in Fluids (MA4L0Link opens in a new window)
• Monte Carlo Methods (ST407Link opens in a new window)
• Advanced Topics in Data Science (ST419Link opens in a new window)
• Statistical Learning and Big Data (ST420Link opens in a new window)
• Continuum Mechanics (MA4J1Link opens in a new window)
• Advanced Computational Chemistry (CH413Link opens in a new window)
• Data Mining (CS909Link opens in a new window)
• Biomolecular Simulation (PX923)

Students can also take up to 15 credits from modules available across the University with agreement from the Course Coordinator. For example:

• Biomedical Systems Modelling (ES4A4Link opens in a new window)

Study options

The MSc Predictive Modelling and Scientific Computing can be studied full-time over one year or 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. More information

We are constantly evolving our courses to keep up with developments in engineering and requirements for industry so it is important you check our website for the most up-to-date information on module availability.

Entry requirements

Entry requirements are published on the University website:

MSc/PGDip/PGCert/PGA Predictive Modelling and Scientific Computing 2025Link opens in a new window

How to apply

Applications for 2025 entry are now open. More information about the application process is available on the University websiteLink opens in a new window.

There are two main costs for students undertaking postgraduate study - academic fees and living expenses.

Tuition fees

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later.

For details of the fees and how to pay, please review the Warwick Student Finance pagesLink opens in a new window.

Living expenses

As well as tuition fees, students should budget for accommodation, food, books and other general expenditure such as clothes or leisure. Living costs will depend upon your lifestyle and spending patterns.

International students must be able to prove they have the necessary funds to cover these expenses. For more information on all costs see living expensesLink opens in a new window.

Scholarships

The School of Engineering offer scholarshipsLink opens in a new window throughout the year, check the page regularly for the latest funding opportunities.

Research

Core material will be delivered by staff from the School of Engineering and Warwick Mathematics InstituteLink opens in a new window with optional modules from WMG, Physics, Chemistry, Statistics, Computer Science and research centres (Warwick Centre for Predictive Modelling, HetSys Centre for Doctoral Training, MathsSys Centre for Doctoral Training).

MSc students will have the chance to participate in individual and group research projects and learn alongside world-class researchers from a number of Faculty of Science, Engineering & Medicine departments.

Research groups

Research groups which may be of particular interest to Predictive Modelling and Scientific Computing students include:

Warwick Centre for Predictive Modelling

The Warwick Centre for Predictive Modelling (WCPM)Link opens in a new window is an interdisciplinary research centre focussed on providing a framework for the application of predictive modelling and uncertainty quantification (UQ) tools in science and engineering research. These mathematical tools provide a powerful new way of thinking about how to model complex systems and how to translate research outcomes into improved technology and design.

Modelling of Heterogeneous Systems (HetSys)

HetSysLink opens in a new window is built around a closely knit, highly collaborative team of academics from five science departments at Warwick with a strong track record in leading large projects in the heterogeneous materials research field.

Mathematics for Real-World Systems (MathSys)

The Mathematics of Systems (MathSys)Link opens in a new window CDT is an EPSRC-funded Centre for Doctoral Training. MathSys recruits and trains enthusiastic students in the advanced quantitative skills and applied mathematical modelling that are critical to addressing contemporary challenges arising from biomedicine and health sectors, modern industry, and the digital economy.

Admissions enquiries

Please contact the Postgraduate Admissions teamLink opens in a new window.

Course enquiries

Talk to staff and students at the School of Engineering in a live chat or contact us via email.

You are also welcome to call us: +44 (0) 24 7652 2046 or +44 (0) 24 7652 4826.

Visit

There are a range of online and in-person optionsLink opens in a new window to help you discover more about your course, visit campus and get a sense of postgraduate life at Warwick.

We would be happy to show you around the School of Engineering. Please contact us to arrange to visit in person. You can also have a look around our facilities in our 360 degree virtual tourLink opens in a new window.