Applied Data Science Swansea University

Overview

Swansea University is ranked within the top 201-250 globally for Computer Science and Information Systems according to the QS World University Rankings by Subject for 2025. The university boasts world-class facilities dedicated to mathematical and computational sciences, ensuring students have access to cutting-edge resources. Furthermore, 100% of the university's publications are rated as world-leading or internationally excellent, according to the Research Excellence Framework (REF) 2021. This strong academic reputation is complemented by a supportive learning environment, where students can engage with expert faculty members recognised by the Higher Education Academy.

The tuition fees for the MSc in Applied Data Science at Swansea University are as follows:

• Domestic Students: £10,650 per year
• International Students: £23,050 per year

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

The MSc programme comprises a comprehensive curriculum designed to provide a robust foundation in data science. Key modules include:

• Database Systems & Web Apps
• Mathematics for Data Science
• Probability and Statistics for Data Science
• Symbolic AI and Natural Language Processing
• Data Mining & Analytics
• Modelling and Machine Learning

The programme also includes a significant final project, allowing students to apply their knowledge in practical settings.

The demand for data science professionals continues to grow across various sectors, including finance, healthcare, and technology. Graduates from this programme are well-prepared to meet the needs of employers seeking skilled data analysts, business analysts, and statisticians.

Completing the MSc in Applied Data Science significantly enhances career prospects. Graduates have found employment with prestigious organisations such as Admiral, Veramed, AXA, British Airways, Deutsche Bank, and Shell Research. Roles typically include data analyst, business analyst, researcher, and statistician, reflecting the diverse applications of data science skills in the modern workforce.