Predictive Modelling and
Train 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, 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.
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 new for entry 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.
The MSc degree (totalling 180 credits) comprises:
- 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 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.
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)
- Modelling and Simulation of 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)
- Data Analysis and Machine Learning (MA930Link opens in a new window)
- Stochastic Modelling and Random Processes (MA933Link opens in a new window)
- Topics in Mathematical Modelling (MA999Link 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 (PX923Link opens in a new window)
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)
*Optional module lists are subject to change each year to keep the student learning experience current and up to date. We recommend that you check this webpage again in future for the most up-to-date information.
Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our central website before you apply. Please read our terms and conditions to find out more.
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
FT: 9 months
PT: 18 months
FT: 6 months
PT: 18 months
|PG Award||30||PT: 9 months|
In order to come to Warwick you need to hold an unconditional offer. All applicants must satisfy the general postgraduate admissions requirements and also those of the course which they wish to pursue.
- A minimum 2:i 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 on the International Office's equivalent scores tableLink opens in a new window.
- 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
- Two academic references. You should nominate referees who can provide an informed view of your academic ability and suitability for your chosen programme of study.
- English Language Qualification: If your first language is not English you will be expected to obtain one of the following recognised English Language qualifications:
- IELTS (Academic): Overall score of 6.5 with no component less than 6.0
- TOEFL (iBT): Overall score of 92 with minimum components; Reading 22, Listening 21, Speaking 23, Writing 21
- Other tests are accepted, click hereLink opens in a new window for details of Band A scores.
How to apply
Applications for 2023 entry will open in October 2022. More information about the application process is available on the University websiteLink opens in a new window.
Department: School of Engineering
Type of course: Postgraduate Taught
There are two main costs for students undertaking postgraduate study - academic fees and living expenses.
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.
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.
The School of Engineering offer scholarshipsLink opens in a new window throughout the year, check the page regularly for the latest funding opportunities.
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 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.
- Watch presentations from our recent Virtual Open Day
- Talk to staff and students in a Live Chat
- Email the Course Coordinator Dr Brommer and the School of Engineering Team
- For application enquiries contact the Postgraduate Admissions Team
- Telephone: +44 (0) 24 7652 2046 or +44 (0) 24 7652 4826
School of Engineering
University of Warwick
The MSc in Predictive Modelling and Scientific Computing will be a valuable addition to the roster of degrees offered at Warwick.
Overall, I think it is a well thought out and worthwhile MSc to pursue, which looks like it will strike a good balance between the foundations and applications of Predictive Modelling."
Current 4th year Engineering student
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Predictive Modelling and Scientific Computing (MSc/PGDip/PGCert/PGA)
Full time: 1 year (MSc), 9 months (PGDip), 6 months (PGCert)
Part time: 2 years (MSc), 18 months (PGDip, PGCert), 9 months (PGA)
2 August 2023
Course Start Date
2 October 2023
Location of study
School of Engineering, University of Warwick, Coventry, CV4 7AL, United Kingdom
Equality, Diversity and Inclusion
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.