Overview
Why Data Science at University of St Andrews?The University of St Andrews is renowned for its academic excellence and is consistently ranked among the top universities globally. The Data Science programme leverages strong partnerships with industry leaders, providing students with access to cutting-edge facilities and resources. This ensures that graduates are well-prepared for the demands of the modern workforce, particularly in data-driven sectors.
Tuition Fee BreakdownThe tuition fee for the Data Science programme is set at £18,000 for both domestic and international students. This fee applies to the full course duration. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. in Data Science includes a comprehensive curriculum designed to foster both theoretical knowledge and practical skills. The compulsory modules encompass:
- Complex Systems Modelling and Simulation: Techniques and applications for modern network-based models.
- Data and Information Visualisation: Utilising visual representations for data exploration and analysis.
- Data-Driven Systems: Foundations of distributed systems and data processing techniques.
- Discrete Optimisation: Theory and tools for solving Integer Programming and Combinatorial Optimisation problems.
- End-to-End Machine Learning: Using Python packages for comprehensive data-driven analyses.
- Machine Learning Algorithms: Essential theories and methodologies in various approaches.
- Programming in Python: Modelling, design, and implementation skills.
Students also have the option to select from additional modules, such as Numeric Optimisation and Research Methods in Data Science, which further enhance their learning experience.
Careers with Data ScienceData Science graduates from the University of St Andrews are highly sought after in diverse sectors, including business, finance, cybersecurity, healthcare, and more. Alumni have secured positions at prominent organisations such as Lloyds Banking Group, Microsoft, and the UK Civil Service. The university offers extensive career support, including access to a global alumni network, one-on-one career guidance, and connections to employers, ensuring that graduates are well-equipped to navigate the job market successfully.
Programme Structure
Courses include:
- Complex systems modelling and simulation:
- 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 61 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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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
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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
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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