Data science and AI

Advance your skills in AI, data technology, and research, ready for a future-focused career in the growing tech economy.

Progress to advanced clinical, leadership, education and research-based roles with the NHS, public and independent sectors. Take existing skills in health and social care and apply them to research, clinical assessment, analysis and insight.

Develop practical business analytics skills and learn how to use data, visualisation and decision-making tools to solve real-world business challenges.

Embark on a career in a rapidly growing field and become a data scientist with an engineering background equipped with a skill set that's valued in a range of industry sectors.

Go further with instrumentation, control systems, data analysis and system health management, using existing skills in engineering and physical science. Progress your career in the oil and gas, renewables, utilities or manufacturing sectors.

Apply existing skills in electrical, electronic and computer engineering to develop further insight at postgraduate electronic engineering level. Progress your career and help address global challenges.

Develop specialist skills in electrical power engineering. Tackle real‑world energy challenges and help design smarter, sustainable power networks.

Apply existing skills in electrical and electronics engineering to the structure and technologies of power system networks. Progress to a career as a project manager or design engineer with employers such as Scottish Power, SSE and GE.

Shape the future of finance. Develop skills in fintech, data analytics, programming and blockchain. Gain practical Bloomberg experience and industry-focused expertise.

Choose a career as a professional mechanical engineer specialising in either design or manufacture. Take existing skills in mechanical or manufacturing engineering and apply them to postgraduate-level study.

Gain practical software engineering experience through real-world projects and industry-focused learning. Build your technical ability, applied experience and confidence for range of software engineering roles.