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The MSc Data Science at UWE Bristol is an industry-driven course that equips students to design and implement data science projects addressing real-world business and societal challenges.
The program covers the complete data science pipeline, including data management, analytics, artificial intelligence, and ethical considerations. Students gain practical experience working on live projects, often in collaboration with their workplace or UWE’s industrial partners.
Course Overview:
Core: Data Management Fundamentals, Interdisciplinary Group Project, Programming for Data Science, Statistical Inference, CSCT Masters Project.
Optional (choose 2): Advanced Statistics, Big Data, Business Intelligence and Data Visualisation, Cloud Computing, Data and Information Governance, Designing the User Experience, Knowledge Management, Linked, Open Data and the Internet of Things, Machine Learning and Predictive Analytics, Social Media and Web Science.
Teaching: Delivered through lectures, hands-on labs, group work, and live data science projects using real datasets.
Assessment: Assessed through practical coursework, vivas, presentations, portfolios, and optional module-dependent exams.
Hands-on learning with live data science projects using real industry datasets.
Interdisciplinary group project simulating real-world challenges.
Paid projects for external clients through UWE’s enterprise studio network.
Access to hackathons, team competitions, and industry-sponsored activities.
24-hour PC labs, cloud-based environments, and virtual machines.
Collaboration with UWE’s enterprise zone and innovation spaces.
Real-world projects using R, Python, HTML, JavaScript, and big data tools.
Supported by UWE’s student adviser network and specialist journals.
Developed in partnership with the Institute of Coding’s employability initiative.
Graduates are well-prepared for roles in data science, business analysis, data engineering, and leadership positions such as Chief Data Officer.
The program’s BCS accreditation and industry focus ensure high employability across sectors.
Supports career advancement within current roles or transitions to new opportunities.
Provides a solid foundation for further study including PhD programs in Data Science, Artificial Intelligence, or related fields.
IELTS (Academic) : score of 6.5 with 5.5 in each component Entry Requirements: An honours degree at 2:2 or equivalent in a relevant subject. Experience with quantitative methods and/or coding is highly recommended. Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Marketing, Economics, Psychology and Social Sciences.Part time studies available only for September intake; 2 yearsTwo intakes: September and January Your 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.TOEFL iBT: Overall score of 90 or above, including a minimum of 17 in Listening and Writing, 18 in Reading and 20 in Speaking.BCS accredited Data ScientistData EngineerMachine Learning EngineerBusiness Intelligence AnalystData ArchitectData AnalystDatabase AdministratorAI EngineerData Visualization EngineerData Governance Officer
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University of the West of England
