Choose from over 200 programmes which will allow you to study a subject in more depth and increase your career prospects by developing your transferable skills to a higher level.
The MSc Data Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in astronomy or astrophysics as well technical, development and engineering positions in related scientific fields.
Taught topics reflect our research expertise in Quantum Physics, Photonics, Theoretical and Computational analysis, Sensors and Materials as well as Astrophysics.
Address the key security issues that are faced by global communications and information systems and develop your practical skills through exposure to real-world problems and datasets.
The placement programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement.
The MSc Compound Semiconductor Physics has been designed to deliver thorough training and practical experience in compound semiconductor theory, fabrication and applications, and integration with silicon technology.
Taught topics reflect our world-leading strengths in theoretical, observational and instrumentational research and include Cosmology, Advanced General Relativity and Gravitational Waves, Instrumentation for Astronomy and Techniques in Astrophysics.
The Gravitational Wave Physics MSc provides broad and comprehensive training in both theory and experiment in gravitational wave (GW) physics and astronomy.
The placement programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement.
Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
This programme aims to develop your technical capabilities as well as a critical understanding of the ethical and social impacts of dealing with text data, covering technical aspects of the most recent and cutting-edge Natural Language Processing (NLP) technologies.
Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline, this flagship programme offers exposure to contemporary topics that are driving key technological developments and trends.
Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets.
Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline, this flagship programme offers exposure to contemporary topics that are driving key technological developments and trends.
Designed for graduates who want to move into computing from another discipline, this programme provides you with a broad technical knowledge and a sound business context for managing IT systems.
The MSc in Data-Intensive Physics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in physics as well as technical, development and engineering positions in related scientific fields.
The MSc Software Engineering degree presents students from a diverse background in STEM (Science, Technology, Engineering and Mathematics) subjects with the opportunity to acquire the skills, knowledge and hands-on experience required to be effective as a commercial software engineer.
The ‘with a Professional Placement Year’ programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement.
An MSc degree for those looking to equip themselves with a range of in-demand skills for extracting and handling ‘big data’, discovering meaningful patterns from data and applying modelling tools to help businesses and government organisations make better decisions.
Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets.
