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The MSc Applied Data Science and Statistics at the University of Exeter is a one-year, full-time program (with a two-year option including a professional placement) designed to equip students with practical and theoretical skills in data science and statistics.
The curriculum is supported by industry links with the Alan Turing Institute and the Institute of Data Science and Artificial Intelligence.
Course Overview:
Working with Data
Introduction to Data Science and Statistical Modelling
Applications of Data Science and Statistics
Communicating Data Science
Advanced Topics in Statistics
Statistical Data Modelling
Data Science and Statistical Modelling in Space and Time
Data Governance and Ethics
Applied Data Science and Statistics Project
Teaching Methods: Lectures, coding labs, group work, practical analysis, and presentations.
Assessment Methods: Combination of coursework, group projects, coding assignments, presentations, and a 15,000-word dissertation or industry-based project.
Programming from Scratch: Python and R taught with no prior coding experience required.
Real-World Projects: Group and individual projects using real datasets; dissertation can be industry- or research-led.
Professional Placement: Optional 9-12 month industry placement with a dissertation linked to placement experience (available in the two-year variant).
Industry & Research Links: Access to seminars, employer events, and research activities through the Alan Turing Institute and Institute of Data Science and Artificial Intelligence.
Strong global demand for data science and analytics roles
Graduates secure roles in start-ups, multinational corporations, finance, consultancy, healthcare, and tech.
One-to-one career guidance, industry engagement, and targeted workshops through the Career Zone.
Suitable foundation for PhD or research-based careers.
Part time studies available; 2 yearsEntry Requirements: A good degree (normally a 2:2). Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience. Prior experience of coding is not necessary on this course.IELTS 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 readingScholarships 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.Data ScientistData AnalystMachine Learning EngineerQuantitative AnalystBusiness AnalystResearcher
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University of Exeter
