MSc Artificial Intelligence and Data Science at Keele University

Our career-focused Artificial Intelligence and Data Science Masters provides a supportive pathway for graduates from varied academic backgrounds to smoothly transition into the dynamic world of computing and technology. Combining cutting-edge theoretical knowledge with practical, real-world applications, you'll explore key areas such as machine learning, neural networks, deep learning, and cloud technologies. On successful completion of the programme, you'll develop essential employability skills, including advanced analytical thinking, complex problem-solving, and strong communication abilities to pursue development and leadership roles across AI and data science fields within various industries.

Faculty: Faculty of Natural Sciences  |  Department: School of Computer Science and Mathematics  |  Duration: 1 year full-time, or up to 2 years with Placement  |  Study mode: full-time; placement option  |  Intake: September, January  |  Location: Keele, England, United Kingdom

What you will study

This course is studied full-time over one year. Should you wish for more flexibility with your studies, we also offer 100% online part-time Computer Science programmes, with routes in Data Analytics and Artificial Intelligence (AI). Compulsory modules include: Mathematical Techniques for Computational Sciences, Foundations of Programming and Software Engineering, Ethics, Governance, and Professionalism in AI and Data Science, Data Management and Cloud Technologies, Advanced Applications of AI and Machine Learning.

Career pathways

On successful completion of the programme, you will graduate with the advanced analytical thinking, problem-solving, practical experience and employability skills to excel in both development and management roles in AI and data science, across a variety of industries and disciplines. This includes roles such as applied AI developer, data analyst, data scientist, machine learning engineer and data mining and analysis engineer.

Official programme page