Scientific Computing and Data Analysis (Astrophysics) G5T309 September 2025

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Course details

Developments in many areas of science and engineering are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference.

Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:

Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
Mathematical aspects of data analysis and the simulation and analysis of mathematical models
Implementation and application of fundamental techniques in an area of specialisation (as well as Astrophysics we offer options in Computer Vision and Robotics, Earth and Environmental Sciences, or Financial Technology)

The MISCADA specialist qualification in Astrophysics is designed to equip you with the background knowledge and skills to address some of the biggest research questions in fundamental science, such as how we can use large surveys and supercomputer simulations to probe the nature of dark matter and dark energy. The course explores areas such as stellar structure and evolution, galaxy formation, large-scale structure and simulations of structure formation. You can find out more here.

There’s great synergy between the modules and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and directly translate them into working codes in their respective application areas. If you have an undergraduate degree in a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level in astrophysics, either in academia or in industry, then this could be the course you’re looking for.

Course Structure

Core modules:

Introduction to Machine Learning and Statistics provides knowledge and understanding of the fundamental ideas and techniques in the application of data analysis, statistics and machine learning to scientific data.

Introduction to Scientific and High Performance Computing provides knowledge and understanding of paradigms, fundamental ideas and trends in High Performance Computing (HPC) and methods of numerical simulation.

Professional Skills delivers C refresher training with an outlook into large-scale code usage. You will also develop wider professional skills in areas such as entrepreneurship, intellectual property and build the skill you will need to communicate novel ideas in science and reflect on the ethical issues around data and research.

The Project is a substantive piece of research into an unfamiliar area of astrophysics, scientific computing or data analysis, or a related area in cooperation with an industry partner. The project will develop your research, analysis and report-writing skills.

Astrophysics teaches you state-of-the-art research and science across a broad range of astrophysics topics, from stellar populations to galaxy formation and high-energy astrophysics. This module introduces the basic research skills needed for postgraduate research.

Plus optional modules which may include:

Advanced Statistical and Machine Learning: Foundations and Unsupervised Learning
Advanced Statistics and Machine Learning: Regression and Classification
Data Acquisition and Image Processing
Performance Modelling, Vectorisation and GPU Programming
Advanced Algorithms and Discrete Systems
Computational Linear Algebra and Continuous Systems

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Fees and funding

Full Time Fees

Tuition fees
Home students	£14,500 per year
EU students	£34,000 per year
Island students	£14,500 per year
International students	£34,000 per year

The tuition fees shown are for one complete academic year of study and are set according to the academic year of entry. Fees will be subject to an annual inflationary increase and are expected to rise throughout the programme of study. The fee listed above is for the first year of the course only. More information is available here: Tuition fees - how much are they - Durham University

Please also check costs for colleges and accommodation.

Scholarships and Bursaries

We are committed to supporting the best students irrespective of financial circumstances and are delighted to offer a range of funding opportunities.

Find out more about Scholarships and Bursaries

Department information

Department of Computer Science

The Department is at the heart of the fast-paced world of applications and algorithms. We maintain an in-depth understanding of the fundamentals of computation and are fully up to speed with the latest technologies that emerge at an ever-increasing rate.

Learning from academics who lead cutting-edge research provides valuable insight into high quality projects, and gives our postgraduate community the opportunity to play a role in shaping a future in which crucial developments in society are supported by technological innovation.

Taught courses balance fundamental knowledge and an emphasis on programming and mathematical skills with practical applications. The content and structure are such that they suit postgraduates who already have experience in the industry or other employment and want to add a formal qualification to their achievements.

Researchers in the Department offer a range of expertise across the computer science spectrum in areas such as artificial intelligence, data science, bioinformatics, high-performance computing, graphics and fundamental algorithms.

We ensure our research-led activity does not function in isolation and keep close links with local high-technology industries as well as national and international employers. Those relationships ensure we are at the leading edge of developments across the sector and can revise and adapt the Department’s curriculum to reflect the changes.

Facilities

The Department is located in a £40 million purpose-built building in the heart of Durham at Upper Mountjoy and features open-plan work areas, breakout spaces for collaboration projects, laboratories and computer rooms.

We are fortunate to have supercomputers for High-Performance Computing and for data analysis and machine learning as well as access to several visualisation and data postprocessing laboratories.

We are also able to host local computer hardware which give postgraduate researchers a safe environment to test prototype solutions, explore innovative technologies they are developing or to actually design new solutions.