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The MSc Data Science at Swansea University delivers a robust foundation in core data science concepts, with a particular focus on extracting information and constructing knowledge from data. The program is tailored for students with a background in computer science or equivalent disciplines and emphasizes three key technical areas: data mining, machine learning, and data visualisation.
Students develop computational and analytical skills through real-world applications requiring strong mathematical proficiency, programming capabilities, and critical thinking. The course is supported by Swansea’s £32.5 million Computational Foundry, which offers state-of-the-art labs and resources to enhance practical learning.
Accreditation:
Course overview
Core modules: Qptimisation Techniques, Data Visualisation & Visual Analytics, Machine Learning, Research Methods, Data Mining & Analytics, Advanced Machine Learning: Computer Vision and Deep Learning, MSc Project
Final year project (MSc Project): Real-world project work, with practical assignments supported by advanced lab facilities
Hands-on learning in Swansea’s £32.5 million Computational Foundry
Access to specialised labs: Vision and Biometric Lab, Maker Lab, Theory Lab, Cyber Security/Networking Lab, User Lab, Visualisation Suite
Practical assignments and real-world project work
Interdisciplinary collaboration opportunities
Support from expert academic staff and research teams
Access to Swansea’s advanced computational equipment and digital resources
Emphasis on applying computational principles to real-world challenges
Progression to specialist MSc programs in areas such as Machine Learning, Artificial Intelligence, or Data Visualisation, building on the program’s rigorous technical foundation
Graduates are well-equipped for high-demand roles in sectors like technology, finance, healthcare, and research, leveraging large-scale datasets and advanced computational methods
Part time studies available; 2 yearsMinimum 2:2 (or equivalent) in Computer Science or a related discipline. IELTS: 6.0 (with a minimum of 5.5 in each component)Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Two Intakes: January & SeptemberData ScientistData AnalystMachine Learning EngineerData Mining SpecialistVisualisation ExpertSoftware DeveloperResearch ScientistAI SpecialistBusiness Intelligence AnalystComputational Consultant
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Swansea University
