The program gives you the opportunity to learn about these algorithms and the associated Ai and machine learning paradigms, principles, theories and procedures, and apply them in a series of practical, exciting and innovative ways. You’ll be encouraged to learn from leading researchers and practitioners in AI and machine learning. Lectures are underpinned with the opportunity to solve real world AI and machine learning problems. Where possible these will be set from industrial and business contexts and case studies.

- Undergraduate degree with a classification of 2:2 or above in a computing or related discipline (mathematics, statistics, engineering), or 2:1 or above in a relevant non-computing or related discipline (which has numeracy included and/or application of big data as a significant theme). - If English is not your first language, English language qualification is needed.