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The MSc Data Science at the University of Southampton is a comprehensive program covering the latest data mining, machine learning, and data visualisation techniques. It is designed for students with strong quantitative and programming backgrounds who want to develop advanced skills for careers in industry, government, or academia. The curriculum is flexible, allowing you to tailor your studies to your interests and career goals.
Professional alignment (accreditation):
British Computer Society (BCS)
Ranking:
Top 20 UK university for employability (QS Graduate Employability Rankings 2022)
Course overview:
Modules:
Data Visualization
Foundations of Data Science
Foundations of Machine Learning
MSc Project
Machine Learning Technologies
Dissertation: The final 3 months are dedicated to an independent research project culminating in a dissertation with one-to-one supervision.
Teaching methods: Modules are delivered through lectures, seminars, and practical work.
Assessments: Assessment includes exams, lab reports, problem-solving exercises, design and programming assignments, individual and group projects, and a compulsory dissertation assessed by a 15,000-word thesis.
High-performance computing clusters: Students gain hands-on experience with powerful computing resources for large-scale data analysis.
Cloud-based infrastructure: Access to cloud platforms supports big data analytics and scalable computing.
Project labs and advanced computing facilities: Dedicated labs enable practical work on real-world datasets and research topics.
Dissertation supervision: One-to-one academic guidance supports independent research projects.
Student advisory team: Support from the Electronics and Computer Science (ECS) Student Advisory Team assists academic and career development.
Career workshops and networking: Events promote industry engagement and career readiness.
Graduate employment: Graduates are highly employable in sectors such as manufacturing, finance, public administration, and technology.
Industry links: The university’s strong partnerships and employability support ensure excellent job prospects and long-term career value.
Further study: Students can pursue a PhD in Data Science, Artificial Intelligence, or related fields.
Advanced MSc programs: Options include Machine Learning or Computational Statistics, leveraging the strong technical foundation of this MSc Data Science program.
You’ll need an upper 2:1 degree (with a mark of 65% or above) in computer science or a closely related subject: Computer Science, Computer Engineering, Software Engineering, Mathematics/ Statistics, PhysicsYou must also have a good 2:1 (65%) score in the following: 1 programming module (e.g. MATLAB, Python, Java, C, C++, C#,object-oriented or advanced programming language) and 1 advanced maths module, ideally statistics and probabilityIELTS: Overall score of 6.5, with all subscores 6.0 or higherIf you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.If you're an international student on a full-time course, we'll ask you to pay £2,000 of your tuition fees in advance, as a deposit.Scholarships availableData analystData scientistSoftware engineerMachine learning engineerBig data engineerResearch scientistData mining engineerBusiness analystData architectSystems analyst
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University of Southampton
