The MSci Mathematics and Data Science at the University of Exeter blends traditional mathematical theory with cutting-edge data science applications, giving students the tools to analyze and interpret complex datasets. It’s ideal for those passionate about mathematics and eager to apply it in areas like machine learning, computer vision, and data-driven decision-making.
Curriculum Structure:
Year 1:
Students build a strong foundation in core mathematical concepts and programming essentials. Units like Calculus, Linear Algebra, and Introduction to Programming for Data Science equip students with the analytical and computational skills needed for advanced study.
Year 2:
The focus shifts to applying mathematics in data contexts, with modules such as Probability and Statistics, Numerical Methods, and Data Structures and Algorithms. Students develop the ability to manipulate large datasets and gain a deeper understanding of statistical reasoning and modeling.
Year 3:
Students explore specialized topics like Machine Learning, Statistical Modelling, and Data Visualisation. This year emphasizes practical skills, including handling real-world data, understanding bias and uncertainty, and integrating mathematical methods with computing tools.
Year 4:
The final year offers advanced study and research opportunities, with options like Social Media Text Analysis, Computer Vision, and independent research projects. Students refine their expertise, preparing for professional roles or further study at PhD level.
Focus Areas: Mathematics, Statistics, Machine Learning, Data Analysis, Programming, Computational Modelling
Learning Outcomes: Graduates will be able to analyse complex datasets, apply statistical and computational techniques, develop predictive models, and communicate insights effectively.
Professional Alignment (Accreditation): Accredited by the Institute of Mathematics and its Applications (IMA) for the Chartered Mathematician designation.
Reputation (Employability Rankings): Ranked 22nd in the UK for Mathematics in the Complete University Guide 2026; 84% of graduates in or due to start employment or further study within fifteen months.
At the University of Exeter, the MSci Mathematics and Data Science program offers a truly hands-on learning experience that equips students with both theoretical knowledge and practical expertise in handling complex data. Students have the opportunity to work with real-world datasets, explore contemporary applications like social media text analysis and computer vision, and gain insights into statistical challenges such as bias and uncertainty. With strong industry links and access to cutting-edge research facilities, you’ll be well-prepared for careers in data science or further academic study.
In terms of practical experiences and facilities, students benefit from:
Access to Exeter’s Institute of Data Science and Artificial Intelligence for research and collaborative projects
Opportunities to engage with industry partners, including long-established connections with the Alan Turing Institute
Advanced computing laboratories equipped for data analysis, programming, and machine learning tasks
Group projects and collaborative assignments that mirror professional data science workflows
Use of specialized software and digital tools for statistical analysis, data visualization, and computational modeling
Support from extensive library resources, including digital datasets and research journals
Exposure to real-world case studies through industry-led workshops and seminars
This combination of structured learning and practical application ensures that you develop the skills and experience needed to thrive in data-driven careers.
Graduates from the MSci Mathematics and Data Science program at the University of Exeter leave with a powerful combination of analytical and computational skills, making them highly sought after in both industry and academia. Typical roles you could aim for include Data Scientist, Quantitative Analyst, and Business Intelligence Analyst:
University Services to Support Employment: The Careers and Employability Service provides tailored career advice, workshops, networking events, and access to internships to boost employability.
Employment Stats and Salary Figures: 84% of graduates are in employment or further study within fifteen months of graduating, with competitive starting salaries in data-driven roles.
University–Industry Partnerships: The program has strong links with the Alan Turing Institute and Exeter’s Institute of Data Science and Artificial Intelligence, offering exposure to cutting-edge research and real-world projects.
Long-Term Accreditation Value: Accredited by the Institute of Mathematics and its Applications (IMA), meeting the requirements for Chartered Mathematician status.
Graduation Outcomes: Graduates are well-prepared for careers in finance, technology, consulting, and research-intensive roles.
Further Academic Progression: Students who complete this program can pursue advanced study such as a PhD in Mathematics, Data Science, or Artificial Intelligence, or explore specialized master’s programs to deepen their expertise and expand career opportunities.
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