Applied Computational Science and Engineering students
  • Postgraduate taught
  • MSc

Applied Computational Science and Engineering

Discover how numerical methods and computational science can help solve large scale problems.

Discover how numerical methods and computational science can help solve large scale problems

Work under the guidance of world-class researchers and use high-performance computing resources

Participate in individual and group research projects and enhance your project management and numerical skills

Course key facts

Minimum entry standard 2023

  • 2:1 in engineering or a science-based discipline

View full entry requirements

Course overview

Apply novel science and engineering approaches to solve large scale problems on this Master's course, designed to advance your knowledge of numerical methods and computational science.

You'll develop skills and techniques for a range of science and engineering applications utilising high performance computing resources, with guidance from world-class researchers.

 

Structure

This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

You’ll take all of these core modules.

Core modules

You'll conduct an independent analysis of a technical problem.

The process will see you devise, implement, test, modify, validate and document a computational or data science-based solution.

You can opt for a problem provided to you, or solve a problem of your own devising. Computational projects as part of external industry placements will also be considered.

You'll present your work in a written report and an oral presentation.

Teaching and assessment

Balance of teaching and learning

Key

  • Lectures and tutorials
  • Independent study

  • 13% Lectures and tutorials
  • 87% Independent study

Teaching and learning methods

  • Person at lectern giving speech
    Lectures
  • Seminars and formal presentations
  • Code on a computer screen
    Practical coding activities
  • Case studies
  • A group of people interacting
    Group work exercises

Balance of assessment

Key

  • Coursework
  • Project

  • 67% Coursework
  • 33% Project

Assessment methods

  • Person completing coursework
    Individual and group coursework
  • Papers from a written report
    Research project report
  • Oral presentations

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Apply online

You can submit one application form per year of entry. You can choose up to two courses.

Tuition fees

Home fee

2023 entry

£21,000

Overseas fee

2023 entry

£39,400

Your future career

Chemistry research on computer screen

Provide real-world problem-solving experience with applied, hands-on computational knowledge.

Man standing under a sign pointing different directions

As an expert industry analyst, you will be highly sought after in a wide range of careers.

Oil derrick

These include oil and gas, mineral exploration and climate science.

Graduate Cap above rolled Degree

Our graduates often pursue further study in master's programs or doctoral research.

Computer screen with cog

Pursue academic careers in fields such as optimisation and inversion, fluid mechanics, and machine learning applications.

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications