MSc Applied Computational Science and Engineering

Department of Earth Science and Engineering, including high-performance computing (HPC) clusters, advanced visualisation suites, and dedicated laboratories for computational modelling. Your learning is powered by the latest industry-standard software and programming frameworks, and you will undertake substantial individual and group projects that tackle complex, multi-disciplinary problems in science and engineering, from simulating physical systems to analysing large-scale scientific datasets.

Here’s how you will gain advanced, hands-on experience:

• Advanced Computational Software: You will gain deep proficiency in a suite of professional tools, including MATLAB and Python for scientific computing, PETSc for large-scale numerical simulation, and industry-standard CFD and FEA packages for engineering analysis.

• The MSc Individual Project: The cornerstone of the programme is a substantial research and development project, where you will apply computational methods to a real-world problem in science or engineering, often in collaboration with our industry or research partners.

• High-Performance Computing (HPC) Facilities: You will conduct simulations and analyses on our advanced computing clusters, gaining practical experience in parallel computing and managing large-scale computational workloads.

• Visualisation Suite: You will use our advanced visualisation laboratory to interpret and present complex computational results, from 3D seismic data to fluid dynamics simulations.

• Computational Modelling Laboratories: You will work in dedicated computer labs equipped with specialised software for geophysical, mechanical, and environmental modelling.

• Data Science and Analytics: You will have access to resources and tools for working with massive scientific datasets, honing your skills in data mining, machine learning, and statistical analysis.

Graduates of Imperial’s MSc Applied Computational Science and Engineering emerge ready for roles such as computational modeller, high-performance computing specialist, data scientist, or scientific software engineer. Built on expertise in numerical methods and machine learning, this degree offers exceptional versatility in tackling large-scale challenges in science and engineering. Moreover, many go on to doctoral research or industry leadership. 100% of Imperial’s electrical and electronic engineering graduates are employed or in further study within 15 months, with most entering highly skilled roles.

Progression & Future Opportunities:
Here’s how Imperial empowers your success:

• University Services to Boost Employability

  • Research-Rich Teaching Environment: You’ll study under world-class researchers using Imperial’s high-performance computing resources, ensuring your learning is both cutting-edge and highly relevant.

  • Capstone Project Experience: The programme culminates in an independent Applied Computational/Data Science Project—giving you hands-on experience with problem definition, coding, validation, and presentation, potentially working on real industry problems.

• Employment Stats & Salary Figures

  • Outstanding Employability: According to Discover Uni, 100% of Imperial’s electrical and electronic engineering graduates are in work or further study within 15 months, with approximately 97% in highly skilled roles.

  • Earning Potential: While no course-specific figures are published, computing and engineering master’s alumni typically earn a median of £65,000 after 15 months, growing to £78,500 by year five.

• University–Industry Partnerships

  • Ada Lovelace Academy: Delivered by the Department of Earth Science and Engineering, this MSc is part of the Ada Lovelace Academy, designed to foster gender-balanced, high-impact postgraduate education in computational science.

  • Cross-Disciplinary Project Examples: Past capstone projects range from tsunami simulation models and aerospace fluid dynamics to geological modelling with GANs—a reflection of strong industry and research connectivity.

• Long-Term Accreditation Value

  • While this MSc isn't framed around formal professional engineering accreditation, it offers deep, high-end computational skills and academic prestige from Imperial—valued by leading employers and research institutions across science and engineering sectors

• Graduation Outcomes

  • Upon graduation, you’ll hold substantial computational and analytical acumen—backed by rigorous research experience—positioning you for roles in high-performance computing, numerical modelling, data-driven engineering, or as a springboard into PhD programs.

Further Academic Progression:
After this MSc, many students choose to pursue PhD research—often within computing, geophysical modelling, or numerical simulation—either at Imperial or elsewhere. The degree also lays a strong foundation for leadership in industrial R&D, algorithm development, or academic roles at the forefront of computational innovation.