Develop deep technical expertise in AI and machine learning through rigorous theory and hands on practice, from concept through to real world deployment. This academically accredited masters programme covers key domains including natural language processing, computer vision, deep learning and MLOps, supporting progression into high impact AI roles across diverse sectors. Learning is grounded in practical application and project based development, aligned to real world industry needs.
• Develop advanced capability across NLP, computer vision, deep learning and MLOps
• Design, evaluate and improve models with a focus on robustness and real world performance
• Build production minded understanding of deployment considerations such as monitoring and iteration
• Strengthen problem framing and solution design skills for complex organisational needs
• Develop communication skills for explaining AI systems clearly to technical and non technical stakeholders
• Progress into senior AI and machine learning roles across industry and the public sector
| Course Category | Data Analytics, Business |
| Course Type | Online Learning |
| Course Qualification | Masters Degree |
| Awarding Body | Woolf |
| Course Start Date | 23rd March 2026 |
| Course End Date | 23rd March 2027 |
| Course Duration | 18 to 24 months part time |
| Course Time | Structured online learning supported by live sessions, applied project work, and access to recordings. |
| Course Fee | 4950 |
| Entry Requirements | The programme welcomes applicants from diverse backgrounds with two routes, an Academic Entry Route and a Non Academic Entry Route for candidates with relevant professional experience. Academic Entry Route: A 2.1 honours degree (or international equivalent) in a numerate or analytical discipline. Applicants with alternative qualifications demonstrating sufficient quantitative or analytical skills may also be considered. Language Proficiency: English language skills equivalent to IELTS 6.5 or higher for non native speakers |
| Career Path | Senior AI and machine learning roles across industry and the public sector, with skills spanning advanced model development through to real world deployment. |
| Course Code | MSc CS AI ML |
Course Details Develop deep technical expertise in AI and machine learning through rigorous theory and hands on practice, from concept through to real world deployment.
Course Details Develop advanced capability in applied analytics and AI through practical learning, real world case studies and project based assessment.
Course Details Build practical capability in AI development and deployment through hands on coding, applied projects and real world problem solving.
Course Details Bridge analytics and AI through hands on programming, predictive modelling, and real world application across domains.
