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The MSc Data Science at the University of Exeter is a conversion program specifically designed for graduates from non-computing backgrounds. It equips students with both the theoretical knowledge and practical skills to apply data science in sectors such as healthcare, finance, government, and more. The program allows students to tailor their learning through optional modules and a research project, ensuring alignment with individual career ambitions.
Ranking:
Top 15 in the UK for graduate prospects (Complete University Guide 2026, 94% for Computer Science).
Course overview:
Compulsory Modules:
Research Project
Introduction to Data Science
Learning from Data
Data Systems
Programme with Python
Machine Learning
Data Governance and Ethics
Optional Modules:
Social Networks and Text Analysis
Stochastic Processes
Bayesian Philosophy and Methods in Data Science
Digital Transformation
Foundations of Human-Centred Al
Design Methods for Human-Centred Al
Introduction to Computer Vision
Strategic and HR Analytics
Supply Chain Analytics
Research Project: Supervised Research Project addressing a practical or theoretical data science challenge, guided by experienced academics.
Teaching methods:
Lectures, workshops, online materials, and recorded sessions, supported by small-group teaching, a collaborative learning environment, and direct interaction with researchers and industry professionals.
Assessments:
A variety of methods including essays, closed-book tests, problem-solving exercises, web-based analysis, mini-projects, extended essays, individual and group presentations, and project work.
Supervised research project: Students complete a research project under the guidance of expert data scientists.
Industry-informed teaching: Curriculum shaped by industry partnerships with practical case studies.
Alan Turing Institute collaboration: Opportunities for networking and collaboration through Exeter’s partnership with the Alan Turing Institute.
Practical lab work: Coursework and projects using real-world datasets in world-class computer science labs.
Specialist facilities: Access to a wide range of computing equipment and machine types.
Comprehensive online resources: Recorded lectures, extensive digital learning materials, and library access.
Career Zone support: Assistance with CV writing, job applications, interview preparation, and enterprise skills.
Networking opportunities: Guest lectures, workshops, and industry events.
Research dissemination: Opportunities for research publication and conference participation.
Academic support: Friendly, open-door support from academic staff.
Graduate employment: Exeter’s MSc Data Science graduates are in high demand across sectors such as healthcare, wellbeing, retail, environment, banking, finance, government agencies, and academia. The flexible curriculum and industry-aligned project work prepare students for roles including Data Scientist, Machine Learning Scientist, Python Programmer, and more.
Industry links and facilities: The University has invested £50 million in Data Science and AI capabilities, offering world-class computer science labs and a broad range of machine types and software ecosystems. The program is closely linked with the Alan Turing Institute and the Institute of Data Science and Artificial Intelligence, providing valuable research, networking, and collaboration opportunities. Exeter’s Career Zone offers tailored career support, employer engagement, and industry-specific events.
Sector-specific opportunities: Graduates have secured roles in technology, finance, healthcare, government, and research organizations, benefitting from the program’s conversion pathway that supports career transitions for students from non-computing backgrounds.
Further study: Students can progress to the MSc Advanced Data Science at Exeter, specializing further in artificial intelligence, machine learning, and high-performance computing. Other options include the MSc Statistical Data Science and the MSc Applied Data Science and Statistics. Many graduates also pursue PhDs in Data Science, Artificial Intelligence, or related fields, leveraging Exeter’s strong research environment and partnerships with the Alan Turing Institute.
Applicants are required to have at least a 2:1 degree in a non-related science undergraduate degree, or a 2:1 in any other degree subject and A Level Mathematics at Grade A or equivalentIELTS Academic, IELTS Academic Online and IELTS One Skill Retake: 6.5 overall with no less than 6.0 in writing and no less than 5.5 in any other sectionTOEFL iBT, TOEFL iBT Home Edition, TOEFL iBT Paper Edition and TOEFL MyBest scores: 90 with minimum scores of 21 for writing, 20 for speaking and 18 in listening and reading. Part time studies available; 2 yearsScholarships availableData ScientistMachine Learning ScientistPython ProgrammerSoftware EngineerData AnalystBusiness Intelligence AnalystData ConsultantResearch ScientistAnalytics ManagerAI Specialist
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University of Exeter
