1 year (full-time)
Data Science MSc
Data Science · Masters
MSc Data Science at the University of Edinburgh explores the computational principles, methods and systems for extracting and structuring knowledge from data — finding patterns in the vast data streams generated by almost every activity in science, society and commerce. Taught by the School of Informatics (1st in the UK for research power in Computer Science and Informatics, REF 2021), the one-year full-time programme requires breadth across machine learning, statistics and optimisation; databases and data management; and applications — with recent courses including Machine Learning Practical, Statistical Programming, Advanced Database Systems, Text Technologies for Data Science and Computer Vision — before a summer dissertation.
Guided from shortlist to offer.
Our counsellors help you compare programmes, check entry requirements and plan the real costs  so the choice you make is the right one for your goals and budget.
Course snapshot
Full-time, Part-time
September
International
University of Edinburgh
Edinburgh, Scotland
About this programme
The degree fosters a breadth of knowledge across data science, an advanced technical background in at least one area, an appreciation of real-world data problems in industry, science and the public sector, and research experience. Entry is a UK 2:1 honours degree (or international equivalent) in informatics, AI, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline; entry is competitive and a typical offer normally requires a UK first-class degree, with introductory programming experience and 60 SCQF/30 ECTS credits of mathematics (calculus, linear algebra, discrete mathematics, probability) expected. English: IELTS Academic 7.0 with at least 6.5 in each component. Two- and three-year part-time options are available. A £1,500 deposit secures an offer.
What you will need
Qualifications
- UK 2:1 honours degree (or international equivalent) in informatics, artificial intelligence, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline; competitive entry, typical offer normally UK first-class honours
- Computer programming experience equivalent to an introductory programming course
- Equivalent of 60 SCQF credits / 30 ECTS credits of mathematics covering calculus, linear algebra, discrete mathematics and probability
Subjects
- Mathematics
- Computer Science
- Statistics
- Programming
English language
IELTS Academic total 7.0 with at least 6.5 in each component; TOEFL-iBT and other accepted qualifications at equivalent levels (as published)
Fees & costs
Tuition category: International
Verify current tuition with the provider.
Official programme information: https://study.ed.ac.uk/programmes/postgraduate-taught/902-data-science
Course fees vary by institution and programme. We can help you understand the likely costs for your study plan and destination before you commit.
Where this programme can take you
Career paths
- Data Engineer
- Data Scientist
- Predictive Analyst
- Software Engineer
- Lead Data Analyst
- IT Application Development Specialist
Industry demand
Recent graduates were recruited by the European Central Bank, United Airlines, SSE PLC, DataArt, Barclays UK, Morgan Stanley and PT Toyota Astra Financial Services.