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Keele University’s MSc in Artificial Intelligence and Data Science is a one-year full-time program designed to equip students with core technical skills in AI and data science while remaining accessible to those from non-computing backgrounds.
Delivered in close collaboration with industry, including partners such as The Alan Turing Institute, the curriculum combines cutting-edge technologies with real-world application. Early modules offer foundational programming and mathematics support for students transitioning from other disciplines, and the program emphasizes inclusivity, research engagement, and employability.
Teaching Methods: Lectures, small-group tutorials, applied workshops, practical lab sessions
Assessment Methods: Coursework, project-based assessment, presentations, and final dissertation/project
Course overview
Core:
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
Industrial Placement Project
Advanced Research and Development Project
Industry-Focused Projects: Final project may be a direct placement or an industry-defined challenge, giving practical, real-world experience
Real-Life Applications: Project-based learning and lab work simulate real-world AI/data science tasks
Foundational Training: Initial modules cover software engineering, programming, and mathematics for students new to computing
Inclusive Learning Environment: Small class size and high staff-to-student ratio foster strong mentorship and tailored support
Collaborative Industry Development: Curriculum shaped by input from employers including The Alan Turing Institute, ensuring relevance
Career-Ready Graduates: Equipped for AI/data science roles across sectors like tech, finance, healthcare, and consulting
Further Study: Strong preparation for PhD or research roles in computer science and AI
High Demand: AI and data science skills are in global demand; employers value both technical and applied capabilities
Professional Development: Emphasis on complex problem-solving, analytical reasoning, leadership, and communication
Community and Support: Keele Postgraduate Association supports academic, professional, and social growth
Entry Requirements: 2:2 degree in any subject or demonstrated relevant professional qualifications or experienceIELTS Academic and IELTS Indicator: 6.5 with 5.5 in all componentsTOEFL iBT (including Home): 87 with 17 (writing), 17 (listening), 18 (reading) and 20 (speaking)Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Applied AI DeveloperData AnalystData ScientistMachine Learning EngineerData Mining and Analysis EngineerAI Project ManagerR&D Engineer in AIAI Software Engineer
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Keele University
