MSc Applied Computational Science and Engineering
Our MSc in Applied Computational Science and Engineering 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. It is suitable for graduates of disciplines including maths and physical sciences, geophysics and engineering, and computer science.
This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of science and engineering applications utilising High-Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering.
There will be a strong emphasis on high productivity problem solving using modern computational methods and technologies, including computer code development and parallel algorithms.
Applicants who want to pursue analytical careers in industries across science and engineering are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce.
This MSc will also prepare you for your PhD studies in fields such as computational techniques, numerical analysis, optimisation and inversion, fluid mechanics, heat transfer, and machine learning applications.
The Applied Computational Science and Engineering MSc programme will ensure that students can apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems.
Students will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills that employers want.
Graduates of this course will fill the market demand for those with applied, hands-on computational experience who can solve real-world problems.
Through the combination of programming, foundational domain knowledge and advanced numerical literacy that this course provides, graduates will be highly sought after to work as expert analysts in the industry, for example, oil and gas, mineral exploration and climate science.
Graduates will be in an ideal position to pursue academic careers in fields such as computational techniques, optimisation and inversion, fluid mechanics, and machine learning applications.
Structure of MSc Applied Computational Science and Engineering
Modules shown are for the current academic year and are subject to change depending on your year of entry.
Find out more about the limited circumstances in which we may need to make changes to or about our courses, the type of changes we may make and how we will tell you about changes we have made.
You take all of the core modules below.
- Advanced Programming
- Applied Computational Science and Engineering Project
- Applying Computational Science
- Inversion and optimisation
- Machine learning
- Modelling Dynamical Processes
- Modern Programming Methods
- Numerical methods
- Patterns for parallel programming
Teaching and assessment
- Case studies
- Formal presentations
- Group work exercises
- Seminars and practical coding activities
- Individual and group coursework
- Oral presentations
- Research project report
Entry requirements Into MSc Applied Computational Science and Engineering
We welcome students from all over the world and consider all applicants on an individual basis.
How to apply for MSc Applied Computational Science and Engineering
Tuition fees and funding
The level of tuition fees you pay is based on your fee status, which we assess based on UK government legislation.
Find out more about fees and funding opportunities.