MSC Artificial Intelligence and Data Science

Your learning is built around mastering the essential, practical skills that form the foundation of a successful tech career:

• Dedicated Computing Laboratories: Your teaching will take place in our modern computing labs located in the Chancellor's Building. These are equipped with high-specification PCs and all the professional software you need for programming, database management, and systems development.

• Industry-Standard Software & Tools: From the very start, you'll gain hands-on experience with the essential tools of the trade. This includes programming languages like Java and Python, integrated development environments (IDEs), database systems, and version control with Git.

• Practical, Project-Based Learning: A core part of your experience will be applying your skills through projects. You'll work on practical assignments and team-based tasks that simulate real-world development challenges, helping you build a portfolio of work that demonstrates your capabilities to employers.

• Collaborative Development: The programme includes opportunities for collaborative work, allowing you to develop teamworking and project management skills that are essential in a professional software development environment.

• Individual MSc Project: The programme culminates in a substantial individual project. This is your chance to bring all your learning together to create a significant software application or conduct an in-depth investigation in your chosen area of interest.

• Extensive University Resources: You will have full access to Keele University’s Campus Library, which includes a vast collection of computing texts, e-books, and online journals, as well as 24/7 access to computing facilities and study spaces.

Graduates of the MSc Artificial Intelligence and Data Science at Keele University develop advanced skills in machine learning, neural networks, data analytics, and cloud technologies, preparing them for diverse roles in AI and data-driven industries. Typical job roles include Applied AI Developer, Data Scientist, Machine Learning Engineer, and Data Analyst, with graduates equipped to lead innovation and solve complex problems across sectors.​

• Keele’s Careers and Employability service offers career-focused support including employability workshops, networking events, industry placement opportunities, and personalized guidance to help students transition into the workplace.​

• Graduate employment outcomes are strong, with many students securing relevant roles within six months, and salary expectations ranging broadly depending on sector and experience, typically aligned with competitive industry standards.​

• The university maintains industry connections and actively involves employers in curriculum design and guest lectures, offering students opportunities to engage with live projects and real-world challenges.​

• The program emphasizes ethical and professional standards alongside technical expertise, offering graduates a strong foundation recognized across academic and industrial settings with long-term value.​

• Graduates exhibit competence in programming, data visualization, statistical modeling, and applied AI techniques, preparing them for development and leadership roles in AI and data science.​

Further Academic Progression:
Students may pursue PhD research in Artificial Intelligence, Data Science, Machine Learning, or related interdisciplinary fields at Keele or other research-intensive institutions. Additional pathways include postdoctoral research, professional certifications, and industry collaborations to deepen expertise and boost career advancement.