Taught course

Predictive Modelling and Scientific Computing

Institution
University of Warwick · Department of Engineering
Qualifications
MScPGDipPGCertPGA

Entry requirements

A minimum 2:i undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject.

Please make sure you check the full course details online before you apply.

Months of entry

October

Course content

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.

Information for international students

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.

Fees and funding

For more information on funding please visit our Postgraduate fees and funding page.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
  • PGDip
    full time
    9 months
    • Campus-based learningis available for this qualification
    part time
    18 months
    • Campus-based learningis available for this qualification
  • PGCert
    full time
    6 months
    • Campus-based learningis available for this qualification
  • PGA
    part time
    6 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
Pgadmissions2@warwick.ac.uk
Phone
+44 (0)24 7652 4585