Taught Degrees

MSc in Scientific Computing and Data Analysis (MISCADA)

Length: 1-year

The ideal programme for students with an interest in computational physics and engineering who have an undergraduate degree in a science subject with a strong quantitative element, including Computer Scientists and Mathematicians. We prepare students for many future roles: the next generation of PhD students, making a difference in Research and Development in business and industry, and working and researching at the cutting-edge of data analysis and high performance scientific computing.

This degree is jointly organised by the Department of Computer Science with specialisations offered in collaboration with the Department of Mathematical Sciences, the Department of Physics and the Department of Earth Sciences.

For more information about this programme and how to apply see Scientific Computing meets Data Analysis- MISCADA

See also the different specialisms in the university course database; 

Scientific Computing and Data Analysis (Astrophysics)

Scientific Computing and Data Analysis (Computer Vision and Robotics) (now closed for 2024/2025 entry)

Scientific Computing and Data Analysis (Earth and Environmental Sciences)

Scientific Computing and Data Analysis (Financial Technology)

MSc in Business Analytics

Length: 1-year

The ideal programme for students who are looking to gain expertise in working with data and understanding and predicting the needs of businesses and their customers using techniques such as machine learning. We prepare students for many future roles in business and industry where their analytical skills will be in high demand. We expect you to have a background in either Computer Science or Business.

This degree is jointly organised with Durham University Business School.

For more information about this programme and how to apply see the course webpage.

See also the entry in the university course database.

Master of Data Science

Length: 1-year

The ideal programme for students whose background might be in a subject that is not highly quantitative and are looking to gain expertise in the core principles of data science. The course focuses on problem solving that introduces a full range of methodologies from introductory techniques to advanced modern methods such as deep learning. We prepare students for many future roles in one of the fastest growing career areas.

This degree is organised by the Faculty of Science.

For more information about this programme and how to apply see the course webpage.

See also the entry in the university course database