Applied Mathematics
  • Postgraduate taught
  • MSc

Applied Mathematics

Equipping students with a range of transferable skills in mathematical modelling, analysis and computation for employment in industry and future research.

Equipping students with a range of transferable skills in mathematical modelling, analysis and computation for employment in industry and future research

Tailor your module choices to your interests

Tackle state-of-the-art problems in applied mathematics on a substantial research project

Course key facts

  • Qualification

    • MSc

  • Duration

    1 year, 2 years

  • Start date

    September 2024

  • Study mode

    Full-time, Part-time

  • Fees

    • Full-time: £13,800
      Part-time: £6,900 Home

    • Full-time: £34,350
      Part-time: £17,175 Overseas

  • Delivered by

  • Location

    • South Kensington

Minimum entry standard

  • 2:1 in mathematics, applied mathematics, engineering or physics

View full entry requirements

Course overview

This course provides training in many different areas of applied mathematics, equipping you with a range of mathematical, modelling and presentation skills for problem-solving and research.

This course is delivered in small classes, with a broad choice modules from the foundational to highly specialised, allowing you to tailor the course to your interests and background.

Starting from 2024, we offer a programme stream on Scientific Computing & Machine Learning (SCML) as part of our world-class Applied Mathematics MSc.  This stream is for students who want to develop core expertise at the interface between modern computational mathematics and data-driven modelling.

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.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

The taught element of the course, beginning in the autumn term and continuing into the spring term, consists of 8 modules and makes up two-thirds of the course. Students on the standard stream can choose from the full list of modules in any combination from Group A and/or Group B.

You are assessed through coursework during term time, and exams in May and June. The taught courses cover a range of topics in applied mathematics, including applied and stochastic analysis, analytical (e.g., complex and asymptotic) methods, numerical analysis and scientific computation, fluid dynamics, mathematical physics, bio-mathematics, data and optimisation methods, and more.

Part-time students will choose 4 modules in the first year and 4 in the second year.

Scientific Computing & Machine Learning (SCML) stream

Entering our SCML stream is a decision that is made by the end of Term 1, after you have decided on your modules and research project.

To follow our new SCML stream, you must choose at least 4 out of your 8 modules from Group A. The remaining 4 modules can be in any combination from either Group A and/or Group B.

Optional modules: Group A

Optional modules: Group B

As well as attending taught courses, you undertake independent work on a written project. A list of projects and supervisors is issued in November. You agree a topic with a supervisor towards the end of the first term, and begin working on your project in the second term. The bulk of the project is completed during the summer, with a submission deadline in September.

If you enter the Scientific Computing & Machine Learning stream, you will develop a research project aligned with the stream.

You will be assessed on your written thesis (dissertation) and a presentation, followed by questions from two academic staff. You will also receive feedback on poster presentations and research proposals during the course.

Teaching and assessment

Balance of teaching and learning

Key

  • Lectures, tutorials and self-study
  • Research project

  • 67% Lectures, tutorials and self-study
  • 33% Research project

Teaching and learning methods

  • Four students sitting in a tutorial
    Group tutorials
  • Individual research project
    Independent research project
  • Individual student/lecturer consultations
  • Person at lectern giving speech
    Lectures
  • Problem classes / problem sheets
  • Person giving seminar
    Research seminars

Balance of assessment

Key

  • Modules
  • Research project

  • 67% Modules
  • 33% Research project

Assessment methods

  • Person completing coursework
    Coursework
  • Dissertation
  • A person completing a written exam
    Examination
  • Oral assessment
  • Practical

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

Full-time

£13,800

Part-time

£6,900 per year

Overseas fee

Full-time

£34,350

Part-time

£17,175 per year

Your future career

Person in a bubble surrounded by 4 skills

The solid training and exposure to cutting-edge activity in applied mathematics provides the necessary background for further postgraduate study in applied mathematics, or closely related areas such as engineering and physics.

Lightbulb above a book

The unique skills you will gain across mathematical foundations, modern computational mathematics, and machine learning are the starting point for an exciting career in industry, finance, big tech, and academia.

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