Computer Science and Mathematics

Computer science and mathematics are disciplines that have always been deeply intertwined. Mathematics provides the logical and quantitative foundations on which computing is built, from the formal logic underlying programming languages to the algebraic structures behind cryptography and the probability theory driving machine learning. Computer science, in turn, gives mathematics new tools for exploration and new problems to investigate, enabling the computational modelling of complex systems, the discovery of mathematical proofs through exhaustive search, and the visual representation of abstract mathematical structures.

Studying both together gives you a dual perspective that is more powerful than either discipline alone.

At Royal Holloway, University of London, this three-year, full-time programme allows you to work across both subjects, combining the abstract rigour of mathematical thinking with the practical problem-solving and technical skills of computer science. You will study algorithms, data structures, programming, and software systems alongside pure and applied mathematics, developing a grounding that is genuinely unusual in the graduate labour market. The programme includes a sandwich placement year for extended professional experience, a year abroad to broaden your academic and personal horizons, and work placement integrated into the course.

These structural features give you considerable practical experience alongside your academic development.

A typical entry tariff of 136 points reflects the mathematically demanding nature of the programme. Graduates are sought by employers across a wide range of sectors, including financial services, technology companies, defence, public sector analytics, and research institutions. Roles in data science, machine learning engineering, software development, actuarial analysis, cybersecurity, and quantitative research are all accessible to those with this combination of skills.

The dual qualification also provides a very strong foundation for postgraduate study in computer science, mathematics, artificial intelligence, or related fields, and many graduates go on to doctoral research in areas where the two disciplines intersect.