Build practical capability in AI development and deployment through hands on coding, applied projects and real world problem solving. This academically accredited Postgraduate Diploma develops skills across core AI and machine learning domains including Python programming, foundation models, computer vision, natural language processing and high dimensional data analysis. Students and graduates work across a wide range of multinational organisations and sectors, and the programme supports a clear pathway to masters level study.
• Build a strong AI development foundation using Python for real world scenarios
• Learn core machine learning methods and robust evaluation approaches
• Develop practical capability in natural language processing use cases
• Develop practical capability in computer vision use cases
• Work with complex datasets using dimensionality reduction, clustering and feature selection techniques
• Strengthen applied project skills and communication of model behaviour and limitations
• Progress on a clear pathway to masters level study
| Course Category | Artificial Intelligence, Computers & IT (Information Technology) |
| Course Type | Online Learning |
| Course Qualification | Postgraduate Diploma |
| Awarding Body | Woolf |
| Course Start Date | 23rd March 2026 |
| Course End Date | 23rd March 2027 |
| Course Duration | 12 months part time (or 8 months full time) |
| Course Time | Live online sessions supported by structured study and access to recordings. |
| Course Fee | 2725 |
| 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 | AI and machine learning focused roles across industry, including analyst and junior ML pathways depending on prior experience, with progression opportunities via a masters pathway |
| Course Code | PGD CS AI ML |
Course Details Bridge analytics and AI through hands on programming, predictive modelling, and real world application across domains.
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 Develop deep technical expertise in AI and machine learning through rigorous theory and hands on practice, from concept through to real world deployment.
