Overview
A one-year taught master's in the Department of Computer Science covering machine learning, cloud-based data analysis and data governance, followed by an individual capstone project that runs from around April to September.
Highlights
- Core: Foundations of AI and Machine Learning
- Core: Cloud-Based Data Analysis
- Core: Governance of Data Science
- Optional: Deep Learning
Entry requirements
- Academic
- An undergraduate degree at 2:2 or equivalent in Computer Science or a related field, including modules in programming, mathematics and algorithms or data science.
- English language
- IELTS (Academic and Indicator) 6.5, minimum 6.0 in each component. PTE Academic 60 with 52 in Listening, 53 in Reading, 65 in Speaking and 59 in Writing. Duolingo 120, minimum 105 in all other components. TOEFL listed as 4.5, with 5 in Listening and 4.5 in each other component (as published).
- Applicants from Pakistan
- The Pakistan page states postgraduate taught entry normally needs a four-year Bachelor's degree, typically the equivalent of a UK 2:2. It gives 60% (GPA 2.5 out of 4) as comparable to a UK 2:2 and 70% (GPA 2.8 out of 4) as comparable to a 2:1. A two- or three-year Bachelor's following an Associate Degree may also be accepted. Source
Careers
Listed roles include software developer, information analyst, systems architect and business analyst, with progression to PhD study also mentioned.
Working after you graduate
Bachelor's and master's graduates on a Student visa may apply in the UK for the Graduate visa: two years if applying by 31 December 2026, or 18 months if applying on or after 1 January 2027.
Checked on 10 October 2026. Official source.
Scholarships for this course
- Chevening ScholarshipsTuition fees, monthly living stipend, economy return flight, arrival and departure allowances and visa application cost
- York Graduate Loyalty Discount10% tuition fee discount