Overview
Why study this course?
Data drives modern decision‑making in business, finance, science, healthcare, government, and beyond. This course equips you with the tools to understand, analyse and communicate data effectively, preparing you to handle real‑world challenges with clarity and integrity.You will gain a blend of theoretical knowledge and practical experience, learning how to interpret complex datasets, design effective models, and use industry‑standard tools throughout the entire data science workflow. You will also develop the ability to think critically about the societal and ethical implications of data‑driven systems, a skill increasingly essential for responsible data professionals.This online programme allows you to study flexibly, choosing from MSc, PGDip or PGCert pathways, and progressing at a pace that fits your life.On this Data Science online course from University of St Andrews, you will:- study research methods in data science, gaining insight into contemporary challenges and emerging trends
- learn core data mining techniques, from foundational theory to practical applications
- master data visualisation, including how to design compelling visuals and verify that they communicate accurately and ethically
- use industry‑standard tools to complete the full data science lifecycle, from data acquisition and cleaning to modelling, deployment and monitoring
- develop skills in optimisation and large‑scale data handling, learning how to model and simulate complex data‑driven systems
- build adaptability and critical judgement, preparing you to navigate new technologies, shifting methodologies and ethical considerations in a fast‑evolving field
Programme Structure
Courses include:
- Data and Information Visualisation
- Data-Driven Systems
- Discrete Optimization
- End-to-End Machine Learning
- Machine Learning Algorithms
- Numeric Optimization
- Programming in Python
- Research methods in Data Science
Key information
Duration
- Part-time
- 36 months
Start dates & application deadlines
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Language
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Credits
Delivered
Campus Location
- St Andrews, United Kingdom
Disciplines
Data Science & Big Data View 60 other Masters in Data Science & Big Data in United KingdomWhat 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.
- CV that includes your personal details with a history of your education and employment to date
- personal statement
- two original signed references on headed paper
- academic transcripts and degree certificates
Tuition Fees
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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 with an estimated total fee of £18,000
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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