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215 courses in Data Science & AI
Browse all 146 universities →Combines statistics, mathematics and computing to analyse and model data. Suits mathematically strong students aiming for data science, analytics or research careers. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At undergraduate level, the course develops subject knowledge progressively alongside practical, analytical and transferable skills.
- LevelUndergraduate
- Duration3 years
- IntakesSep
- Fee per year£44,400
A one-year Swansea master's in data mining and visualisation, statistical programming, data security and governance, and machine learning applications, plus research methods and a project. For graduates aiming at data science or AI roles.
- LevelMaster's
- Duration1 year
- IntakesOct
- Fee per year£17,500
Taught by WMG, this course covers machine learning, deep learning, natural language processing, computer vision, reinforcement learning and robotics, with practical project work. Suits STEM graduates who want to build and deploy AI systems in industry.
- LevelMaster's
- Duration1 year
- IntakesSep
- Fee per year£37,460
A Warwick Business School course (relaunched for 2026 from MSc Business Analytics) teaching machine learning, statistics, optimisation and visualisation applied to business problems. Aimed at numerate graduates heading for analytics or consulting roles.
- LevelMaster's
- Duration1 year
- IntakesSep
- Fee per year£38,150
Focuses on AI methods such as machine learning and intelligent systems and how they are applied to automate and improve real-world tasks. Intended for graduates with a programming background who want technical AI roles.
- LevelMaster's
- Duration1 year
- IntakesSep
- Fee per year£17,750
Teaches how to analyse business data to support decisions, combining analytics tools with management context. Useful for career changers or those moving into analyst roles.
- LevelMaster's
- Duration1 year
- IntakesFeb, Sep
- Fee per year£17,250
Formerly Business Intelligence and Analytics, this course covers collecting, organising and analysing data to support decisions. Suits science, engineering or IT graduates moving into analytics roles.
- LevelMaster's
- Duration1 year
- IntakesJan, Sep
- Fee per year£20,000
Teaches practical AI techniques and skills for solving real-world problems. Aimed at science, maths, computing or engineering graduates. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
- LevelMaster's
- Duration1 year
- IntakesSep
- Fee per year£20,760
MSc Data Science
University of Wolverhampton · Wolverhampton
A conversion masters for graduates from any subject who want to move into data science, with four start dates a year. Covers data analysis and related technical skills for analyst and data scientist roles.
- LevelMaster's
- Duration1 year 3 months
- IntakesSep, Nov, Jan, Mar
- Fee per year£18,645
MSc Artificial Intelligence
University of Wolverhampton · Wolverhampton
Designed so that graduates without a computer science background can move into AI, building practical machine learning and AI skills. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
- LevelMaster's
- Duration1 year 3 months
- IntakesSep, Nov, Jan, Mar
- Fee per year£18,645
For graduates of numerate subjects who want to specialise in AI or data science, moving from core concepts to building, testing and managing AI systems. It prepares students for AI engineering and data roles.
- LevelMaster's
- Duration1 year
- IntakesSep, Jan
- Fee per year£18,900
A conversion master's open to graduates of any subject, covering machine learning, big data analytics and drawing conclusions from data. It prepares students for data scientist and analyst roles; an Advanced Practice placement module is available.
- LevelMaster's
- Duration1 year
- IntakesJan, Sep
- Fee per year£12,500
Teaches how to design, build and critically evaluate intelligent systems using current AI methods. It suits graduates wanting to move into AI development roles across sectors such as health and finance.
- LevelMaster's
- Duration1 year
- IntakesJan, Sep
- Fee per year£12,500
Covers the theory and practice of AI, including symbolic and machine learning approaches, and its impact on industry and society. It requires a solid computer science background.
- LevelMaster's
- Duration1 year
- IntakesSep
- Fee per year£33,900
A London-campus master's for students with computing or numeracy backgrounds, covering big data acquisition, analytics and data science methods. A two-year professional experience option is available.
- LevelMaster's
- Duration1 year
- IntakesFeb, Sep
- Fee per year£11,800
Fees, entry requirements and intakes are taken from each university’s official website and checked regularly. They can change — we always confirm the latest details with you before you apply.