MSc Applied Data Science at Swansea University

Programme overview

A conversion master's for graduates without a strongly numerate background, teaching them to work with, visualise and understand data, think statistically and make data-driven decisions. It provides foundations in mathematics, statistics and programming alongside data mining and machine learning.

Faculty: Science and Engineering | Department: School of Mathematics and Computer Science | Duration: 1 year full-time or 2 years part-time | Intake: September | Location: Swansea, Wales, United Kingdom

What you will study

Modules include Database Systems and Web Apps, Mathematics for Data Science, Probability and Statistics for Data Science, Symbolic AI and Natural Language Processing, Problem Solving and Software Efficiency, Modelling and Machine Learning, and a 60-credit dissertation.

Career pathways

Potential careers include data analyst, researcher, business analyst and statistician. Recent graduates have been employed by organisations including Admiral, Veramed, AXA, BA, Deutsche Bank, Shell Research, health authorities and local government.

Official programme page

Application information

Entry requirements

A UK second class honours degree or equivalent in any degree that does not include a strong mathematical or data science component, together with GCSE Mathematics at grade B (or equivalent). Other candidates are considered case by case. International applicants need IELTS 6.0 with at least 5.5 in each component, or an equivalent English test.

Domestic applicants: GBP 10,650 a year (2026/27). MSc, 1-year full-time. Source

International applicants: GBP 24,200 a year (2026/27). MSc, 1-year full-time. Source

Intake: September

Duration: 1 year full-time or 2 years part-time

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