MSc in Artificial Intelligence and Data Science in Keele United Kingdom | Keele University

Our Master's program in Artificial Intelligence and Data Science offers career-oriented training, helping graduates from diverse academic fields make a seamless shift into the fast-evolving tech industry. Blending state-of-the-art theory with hands-on applications, you'll master critical domains like machine learning, neural networks, deep learning, and cloud computing. Upon graduation, you'll gain vital professional skills—from sophisticated analytical reasoning to complex troubleshooting and effective communication—preparing you for leadership and development positions in AI and data science across multiple sectors.

Program overview
The AI and data science fields have experienced unprecedented expansion, driven by technological breakthroughs, increased data availability, and surging demand across industries. As these technologies become more embedded in business operations, the call for qualified specialists continues to rise sharply.

With our pioneering Computer Science legacy dating back to 1972, we maintain our position as leaders in computing education and research.

Our MSc in Artificial Intelligence and Data Science continues this tradition, merging professional best practices with cutting-edge AI and data science principles while offering practical experience solving real industry problems.

To guarantee industry relevance, our curriculum has been developed in consultation with global employers and through our collaboration with The Alan Turing Institute—the UK's premier center for data science and AI innovation.

Tailored for non-computing graduates, early modules cover fundamental mathematics and programming essentials. This groundwork strengthens your comprehension of later AI and data science topics while introducing software engineering basics. You'll also master professional tools like GitHub for efficient project management.

Progressing further, you'll examine crucial professional considerations in AI and data science, including ethical issues like algorithmic bias. The program also delivers in-depth training in data systems, cloud infrastructure, and advanced AI/machine learning implementations.

For practical industry exposure, your final evaluation involves either an industrial placement or an industry-aligned challenge as part of your MSc thesis.

Securing work experience during your studies not only boosts your employability but lets you apply classroom knowledge to actual business challenges.

Career prospects
Graduates leave equipped with high-level analytical capabilities, problem-solving expertise, practical experience, and career-ready skills for both technical and managerial positions in AI and data science across various fields.
Potential roles include AI application developer, data specialist, machine learning specialist, and data analysis engineer.
Some alumni further their academic journey by undertaking Computer Science doctoral research.