Data Science Aberystwyth University

Overview

The Data Science MSc at Aberystwyth University provides a comprehensive foundation in the rapidly evolving field of big data and digital footprints. This programme is specifically designed to bridge the gap between computer science, mathematics, and statistics to create insightful data syntheses. Students gain the necessary skills to transform raw information into actionable intelligence for government, science, and business sectors.

Why Data Science at Aberystwyth University?

Students benefit from the combined expertise of two specialist departments: the Department of Mathematics and the Department of Computer Science. Both departments maintain strong research focuses and active links with major global companies, ensuring the curriculum remains industry-relevant. Throughout the programme, you will receive dedicated support for career planning to help accelerate your professional journey in research or industry.

Tuition Fee Breakdown

• International fee: GBP 22410 per year
• National fee: GBP 11675 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is delivered through lectures, seminars, and practical exercises, totalling 120 taught credits followed by a 60-credit research project. Modules may include:

• Data Analytics
• Machine Learning for Intelligent Systems
• Modelling, Managing and Securing Data
• Statistical Concepts, Methods and Tools
• Statistical Techniques for Computational Scientists
• Intelligent Systems
• Programming for Scientists
• Dissertation

Careers with Data Science

Graduates from this programme are highly sought after in the global job market, particularly for roles involving large-scale data analysis. Former students have secured positions at prestigious organisations such as Google and MarkLogic, while others have become product managers for investment banks. The expertise gained in data handling, cryptography, and system security also provides a strong foundation for those wishing to establish their own technology companies.