Overview
The Data Science (Online) course from University of St Andrews covers a mix of practical and theoretical topics essential to careers in many data-driven sectors. You will learn how to approach real-world data problems and to apply your skills in critical thinking, problem solving, and analysis.
Career opportunities:
Data Science is one of the world's fastest growing job types. Qualified data scientists are highly sought after in a wide range of sectors, including business and finance, intelligence services, cybersecurity, healthcare, conservation, the arts and more.
We are committed to supporting your career aspirations, whatever your stage and offer:
- access to our extensive global alumni community for advice and mentoring
- one-to-one guidance covering everything from career choice to application support and interview coaching
- employer connections, global vacancies, and practical experiences
- academic and professional skills development
Get more details
Visit programme websiteProgramme Structure
Courses include:
Data and Information Visualisation
Complex Systems Modelling and Simulation
Data-Driven Systems
Discrete Optimization
Machine Learning Algorithms
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
credits for MSc
Delivered
Campus Location
- St Andrews, United Kingdom
Disciplines
Data Science & Big Data View 61 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
For entry onto the MSc: A 2.1 undergraduate Honours degree in any subject from the UK or the equivalent international qualification.
The university will also consider applicants who do not have an undergraduate degree. In these circumstances we expect candidates to have at least five years of relevant professional learning.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents18000 GBP / year≈ 18000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents18000 GBP / year≈ 18000 GBP / year
Additional Details
- £1,500 per 15 credits
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility