Course summary
Our Predictive Modelling and Scientific Computing MSc trains students in the theory and practical implementation of cutting-edge predictive modelling techniques, exposing them to established, as well as emerging, applications in science and engineering. Course Overview 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, 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. Core modules cover uncertainty quantification and predictive modelling, scientific computing and scientific machine learning, whilst the choice of three optional modules gives students the opportunity to specialise the application focus of the course to align with their interests. Students will participate in individual and group research projects, as well as writing reports and presenting technical work, thus developing the project management and numerical skills sought by 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 course is running for the first time in 2023 and will equip 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. This information is applicable for 2024 entry. Given the interval between the publication of courses and enrolment, 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)*
- Modelling and Simulation of Engineering Materials (ES98F)*
- Mathematical and Computer Modelling (ED4C3)
- Quantum Chemistry (PX919)
- High Performance Computing (PX457)
- Data Analysis and Machine Learning (MA930)
- Stochastic Modelling and Random Processes (MA933)
- Topics in Mathematical Modelling (MA999)
- Advanced Topics in Fluids (MA4L0)
- Monte Carlo Methods (ST407)
- Advanced Topics in Data Science (ST419)
- Statistical Learning and Big Data (ST420)
- Continuum Mechanics (MA6J1)
- Advanced Computational Chemistry (CH413)
- Data Mining (CS909)
- Biomolecular Simulation (PX923)
Assessment method
A combination of coursework and written examinations.
Entry requirements
Minimum requirements A minimum 2:1 undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject. You can see how your current degree score or GPA equates to the British system in our Study pages in the Equivalent scores table. 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. To ensure you have the essential foundations for the course, and depending on your overall academic profile, we may require you to take a mathematical skills test. English language requirements You can find out more about our English language requirements. This course requires the following: Band A IELTS overall score of 6.5, minimum component scores not below 6.0 International qualifications We welcome applications from students with other internationally recognised qualifications.
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.
Provider information
University of Warwick
Coventry
CV4 7AL