MSc Data Science Technologies (Online Learning): Fees & Entry Requirements at The University of Edinburgh, UK

MSc Data Science Technologies (Online Learning)

UK

What will I learn?

With advances like generative AI transforming industries, there is an increasing demand for skilled data specialists. Being proficient in data science is growing more important across fields as diverse as the sciences, medicine, arts, and humanities.This online MSc is designed to provide you with the essential skills needed to further a career in a data-driven world. It allows you to take courses from multiple Schools, bringing together different academic communities across the University to create a modern, multidisciplinary degree programme. It combines elements from fields such as statistical analysis, machine learning, programming and data visualisation to help inform strategic decision making, optimise processes and solve complex, real-world problems.We go beyond teaching data science we lead innovations in the field. Our programme will connect you with a high-profile network of research centres, institutes, and innovation centres across the University, empowering you to comprehensively explore the multidisciplinary nature of data science. You will gain a strong knowledge of the technological advances most relevant today, preparing you for practical, impactful applications in diverse real-world scenarios.

Which department am I in?

University of Edinburgh

Study options

Full Time (1 Year)

Tuition fees
£19,100.00 (20,81,063) per year
This is a fixed fee
Application deadline

Expected August 2027

Start date

September 2026

Venue

Online/Distance Learning

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

Full Time (1 Year)

Tuition fees
£19,100.00 (20,81,063) per year
This is a provisional fee yet to be approved
Start date

September 2027

Venue

Online/Distance Learning

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

Entry requirements

For international students

The programme is designed to be accessible. We welcome applicants who meet the standard academic entrance requirements and those with relevant work experience.

A UK 2:1 honours degree, or its international equivalent, in a numerate or computational discipline.

We will also consider a UK 2:2 honours degree, or its international equivalent, in Computer Science, Informatics, Software Engineering, Mathematics, Statistics, or similar.

We will also consider your application if you have relevant work experience (typically at least three years in a relevant field, working with data or programming). If you plan to apply on this basis, please include a detailed CV and outline how your professional background demonstrates your ability to undertake the programme in the Relevant Knowledge/Training section of your application. If you are unsure if you have relevant work experience, please email the Programme Director.

We strongly recommend that all applicants have SQA Higher or GCE A level Mathematics, or equivalent. We also recommend that students understand basic programming concepts and have some experience of computer programming (e.g. C, Fortran, Java, Python, R).

*There may be different IELTS requirements depending on your chosen course.

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