BSc in Computer Sciences and Mathematics

On this degree, you won’t just memorise ideas — you’ll build and apply computing and mathematical skills through hands-on practice from day one. The curriculum blends foundational programming and mathematical reasoning with progressively advanced software development, system design, and analytical thinking. You’ll work with real code, tackle substantial project work, and learn both individual problem solving and team-based development, equipping you for real technical roles.

As you progress, you’ll have access to excellent computing facilities, dedicated study spaces, and the opportunity to tackle a major individual project in your final year, where you design and implement a substantial software system. This reflects the type of work you could be doing in industry or research after graduation:

• Software development and coding practice: From Year 1 modules in procedural and object-oriented programming to Year 2 and 3 software development, you’ll write code in multiple languages, learn professional software practices, and understand system architectures.

• Team project experience: In the second year, you take a Team Project module, where you work collaboratively with peers to design, implement and test software — mirroring the kind of group projects and team-based workflows used in tech companies.

• Final year individual project: Your final year includes a substantial independent project where you’ll research, design and implement a software system of your choice, synthesising everything you’ve learned into a practical deliverable. This project becomes a centerpiece of your portfolio when applying for internships or jobs.

• Flexible module options: A wide range of optional modules lets you tailor your studies toward areas such as high-performance computing, data science, algorithms, machine learning and network security — all with practical applications and assessed through meaningful work.

• Mathematics integration: Core mathematics modules in your first year give you rigorous grounding in structures and methods that directly enhance your computing skills — thinking logically, analysing algorithms and working with abstraction are central to both sides of the degree.

• Dedicated computing facilities: The Computer Science department has specialised computing suites including Mac and Linux labs equipped with development tools, high-performance computing resources and hardware like Raspberry Pis for embedded systems and experimental work — so you get experience on industry-relevant machines and environments.

• Study and research support: You’ll have access to study spaces and faculty support where you can continue work outside of class, get help on projects, and deepen your understanding of both theoretical and applied topics.

Facilities list available on the University of Exeter campus facilities webpage.

Why This Degree Is a Great Choice

Computer Science and Mathematics at Exeter uniquely blends two highly valuable skill sets. You’ll graduate with strong computational thinking, solid software development experience, and deep mathematical reasoning — exactly the combination sought after in data science, cybersecurity, software engineering, technology consulting, quantitative analysis, and AI roles.

The structure of this degree means you’ll get hands-on experience building and testing software, working in teams, and solving problems both individually and collaboratively — all while grounded in solid analytical foundations. The final year project gives you something concrete to showcase to employers and is excellent preparation for roles that require real technical capability.

Graduates of the BSc in Computer Science and Mathematics at the University of Exeter are highly prepared for careers where analytical excellence meets computational innovation. Typical roles include Software Developer, Data Scientist, Systems Analyst, and Cybersecurity Specialist, with strong demand across technology, finance, and business sectors:
• The degree combines programming skills, algorithmic thinking, and mathematical modelling, making graduates highly attractive to employers in tech, finance, and research.
• Students gain opportunities for real‑world experience through optional placements and industrial projects, enhancing employability and professional confidence.

Progression & Future Opportunities:

• University services that help you to employ: Students have access to Exeter’s Careers service, which provides personalised career coaching, CV and application support, mock interviews, employer events, careers fairs, and ongoing guidance throughout the degree and after graduation.

• Employment stats and salary figures: Exeter graduates generally achieve strong outcomes, with most entering graduate-level roles or further study within 15 months. Early-career salaries in computing and mathematics-related fields typically start around £32,000, with growth in subsequent years.

• University–industry partnerships: The programme engages with industry across AI, data science, cybersecurity, and software development, offering practical experience and networking opportunities through collaborative projects.

• Long-term accreditation value: A degree from Exeter, a Russell Group university, is recognised worldwide, providing long-term credibility and enhancing career opportunities in technology, analytics, finance, and engineering sectors.

• Graduation outcomes: Graduates move into software development, data analytics, cybersecurity, systems design, consultancy, and finance, or pursue roles where strong computational and quantitative skills are essential.

Further Academic Progression:
• Students may progress to master’s degrees in fields such as Artificial Intelligence, Data Science, Software Engineering, Computational Mathematics, or Cybersecurity to gain deeper specialist expertise.
• The strong foundation in mathematics and computing also supports research-focused postgraduate study, professional qualifications in tech and analytics, and entrepreneurial or consultancy pathways.