Programme description
What you can expect to study
- Prepare, analyse and communicate insights from data.
- Apply statistical and machine-learning techniques.
- Use programming and data tools to solve practical problems.
Goldsmiths, University of London · London
MSc Data Science and Artificial Intelligence
Builds a strong foundation in data science together with current AI techniques and the practical skills to apply them. Suits numerate graduates heading for data or AI roles.
Career direction
Where it may lead
Possible career directions include:
- Data scientist
- Data analyst
- Machine-learning specialist
- Business intelligence analyst
Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.
Entry requirements
Can I apply?
- Academic
- 2:2 or above in a subject such as computer science, mathematics, statistics, engineering or a quantitative subject like economics/finance.
- Sri Lankan qualifications
- Normally a Bachelor's degree in a relevant subject; see programme pages for required class.
- English (IELTS)
- 6.5 overall, no element below 6.0
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Your application, handled.
- We check your eligibility and documents.
- We prepare and submit your application to Goldsmiths, University of London.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
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Course information checked October 2026 from the official course page on gold.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Goldsmiths, University of London before you apply. Global Educational Consultants is an independent consultancy.