Course Overview
The MSc Predictive Modelling and Scientific Computing at University of Warwick is a postgraduate programme designed for postgraduate students passionate about shaping the built environment. Based in Coventry, England, this Russell Group university offers a research-led approach to learning, with a 1-year full-time and part-time structure. 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. A minimum ielts score of 6.5 is required for admission. Graduates from this programme benefit from strong career prospects, with 98% student satisfaction rating, and a 85% continuation rate.
What You'll Learn
Entry Requirements
📋 Academic Entry Requirements
| Postgraduate Requirement | 2:1 |
🗣️ English Language Requirements
| Test | Overall | L | R | W | S |
|---|---|---|---|---|---|
| IELTS Academic | 6.5 | 6 | 6 | 6 | 6 |
L = Listening, R = Reading, W = Writing, S = Speaking
Tuition Fees & Funding
International Student Fee
£31,670
per year
Home Student Fee
£13,040
regulated fee
Scholarships available for eligible students
Fees shown are for current entry. Fees may increase annually in line with inflation.
Graduate Outcomes
Salary data is not yet available for this course.
💼 Employment Breakdown
Graduate employment outcomes are sourced directly from Discover Uni for this specific course and provider. For full details, visit Discover Uni at Discover Uni.
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About University of Warwick
University of Warwick offers Predictive Modelling and Scientific Computing as part of its comprehensive programme offerings.
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