Explore our Predictive Modelling and Scientific Computing MSc.
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, predictive modelling and scientific computing, 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 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.
Teaching
Core modules cover uncertainty quantification, predictive modelling and scientific computing, 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 have the opportunity to participate in individual and group research projects, as well as to write reports and present technical work, thus developing the project management and numerical skills sought by employers.
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.
For international students
A minimum 2:i undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject. IELTS overall score of 6.5, minimum component scores not below 6.0
For Iranian students
A score of 15-17/20 (75%) from a well ranked institution is considered comparable to a UK 2.1, while a score of 13-15/20 is considered comparable to a UK 2.2.
1 year - Full time
Fee
To be confirmedPlease check with institution
Start Date
Address
University of Warwick, Coventry, CV4 7AL, England
Computer Science Centre for Doctoral Training and Research Scholarships
Value of scholarship
The scholarships cover full fees and stipend payable at current UK Research Council rates.
How to applay
Please apply online following our application advice.
Number of Awards Available:
There are multiple awards available.
Requierments
Open to UK and International students.
Our Centre for Doctoral Training and Research in Computer Science have multiple funded scholarships available for each year.
The Computer Science Department at Warwick is ranked 1st in the UK for scientific output and 2nd overall in the latest UK Research Excellence Framework. The scholarship will give you the opportunity to join a leading Computer Science department, and pursue academic excellence in your chosen area of Computer Science: Artificial Intelligence, Applied Computing, Data Science, Human Centred Computing, Security, Systems, or Theory.
The scholarships cover full fees and stipend payable at current UK Research Council rates.
Eligibility Criteria:
Scholarships are open to Home, EU, and international applicants.
Candidates should have a degree in computer science, engineering or a related discipline, with solid mathematical background and strong programming skills.