Key Information
Duration: 1 year full-time
Start Date: October 2023
Campus: South Kensington, London
ECTS: 90 Credits
If you are unable to pay a course’s application fee, we encourage you to apply for a fee waiver. If you are interested in this MSc and wish to apply for a fee waiver, please contact ese-msc-acse@imperial.ac.uk prior to starting your application.
Inspiring the future crop of experts in Computational Science and Engineering
Students will gain deep knowledge and skills in cutting-edge computational techniques for real world science and engineering applications to meet industry demand.
- See how our Appplied Computational Science and Engineering MSc students took their Machine Learning Module
- Find more about student applications on our COVID-19 webpage
The Applied Computational Science and Engineering MSc will educate future domain-specialists in computational science. This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. Graduates of this course will fill the market demand for those with applied, hands-on computational experience who can solve real world problems.
Find the most recent MSc Applied Computational Science and Engineering Programme Specification on the Imperial College London course page for the MSc Applied Computational Science and Engineering.
Who is the MSc for?
The MSc is suitable for graduates of disciplines including mathematics and physical sciences, geophysics and engineering, and computer science. All students should have undertaken some programming in a high-level language (including Matlab, Python or C/C++).
Why should I apply for the MSc?
Dr Gerard Gorman, Course Director, Applied Computational Science & Engineering MSc: “Students will learn to solve real-world problems using numerical methods and computational science for a broad range of applications in science and engineering”
Dr Adriana Paluszny, Royal Society University Research Fellow: “Students will engage with a broad range of trending coding techniques and applications – we will prepare them for success in industry and academia”
- Model dynamical processes using numerical methods and advanced programming
- Large scale, big data, machine learning
- Combining mathematics, physical sciences, engineering, and computational science
- Preparing tomorrow’s technologists, entrepreneurs and computational problem solvers
Scholarship opportunities
MSc Ada Lovelace Scholarship for Women
We have four departmental scholarships available to women who are offer holders for any of the following programmes, for 2025 entry:
· MSc Geo-Energy with Machine Learning and Data Science [contact: Thomas Dray]
· MSc Applied Computational Science and Engineering [contact: Ying Ashton]
· MSc Environmental Data Science and Machine Learning [contact: Ying Ashton]
· MSc Renewable Energy with AI and Data Science: Geology & Geophysics [contact: Sophie Pirouet]
To request the scholarship application form, please email the course administrator (name above).
The scholarships will be awarded to women who demonstrate exceptional academic merit and/or potential and are open to Home and Overseas applicants (3 x Home and 1 x Overseas). The Scholarships will cover Home/Overseas Tuition fees and a stipend. Additionally for those interested we provide Ada Lovelace PhD scholarship opportunities which will be available to apply for during your Masters year.
How to apply
To be considered for a Scholarship for one of the above MSc programmes in academic year 2025-26, please apply for the course via the Imperial MSc graduate course admissions process by Friday 28thMarch 2025 , and complete the scholarship application form by 11am (UK time) on Friday 11th April 2025.
MSc Ada Lovelace Scholarship for Home Students
The department has four scholarships available to students who are offer holders for any of the following programmes, for 2025 entry:
· MSc Geo-Energy with Machine Learning and Data Science [contact: Thomas Dray]
· MSc Applied Computational Science and Engineering [contact: Ying Ashton]
· MSc Environmental Data Science and Machine Learning [contact: Ying Ashton]
· MSc Renewable Energy with AI and Data Science: Geology & Geophysics [contact: Sophie Pirouet]
To request the scholarship application form, please email the course administrator (name above).
Scholarships will provide full home tuition fees for each successful candidate and will be awarded to candidates who demonstrate exceptional academic merit and/or potential.
How to apply
To be considered for a Scholarship for one of the above MSc programmes in academic year 2025-26, please apply for the course via the Imperial MSc graduate course admissions process by Friday 28th March 2025, and complete the scholarship application form by 11.00 am (UK time) on Friday 11th April 2025.
Course Information
How to apply and further information
We strive to increase and broaden inclusivity and support everyone, regardless of background, in breaking down any barriers to you applying to the Department. If you are unable to pay a course’s application fee, we encourage you to apply for a fee waiver. If you are interested in an MSc and wish to apply for a fee waiver, please contact ese-msc-acse@imperial.ac.uk prior to starting your application.
Please note that even if you don’t have prior experience in all of the areas above, but think your background and skills are a good fit for the programme and are excited about developing your skills in computational science with a strong focus on solving real world science and engineering problems, please don’t hesitate to contact the course administrator to find out more and discuss.
Find out more about postgraduate study at Imperial College London, including tuition fees, admissions and how to apply.
Further information
- See frequently asked questions about the MSc
- Read case studies of the Department's Computational Geosciences research.
- Read about how the MSc will benefit from innovative software deployed at Imperial College London.
Contact
With any queries about the course, please email ese-msc-acse@imperial.ac.uk.
For more information about multi-mode delivery, your learning experience and the steps we’ll be taking to keep you safe on campus, please see our Covid-19 information for applicants and offer holders page or contact ese-msc-acse@imperial.ac.uk.