Computer Science and Mathematics

Computer science and mathematics is a pairing that reflects how deeply the two disciplines have always been intertwined. Computer science draws on mathematical logic, algebra, combinatorics, and probability at every level, from the theoretical foundations of computation to the design of efficient algorithms and the analysis of large datasets. Mathematics, meanwhile, has been transformed by computing, with computational tools enabling approaches to problems in pure and applied mathematics that were previously intractable.

Studying them together gives you a rigorous training in both, and a perspective on each that students of either alone rarely achieve.

At the University of Bath, this three-year full-time programme is a high-demand course that combines programming, algorithms, data structures, software engineering, and computer systems with analysis, algebra, probability, and statistics. In your final year, you will complete a substantial project, which can be either a standard twenty-credit piece of work or an extended thirty-credit research-focused project, depending on your performance and the availability of supervision. The remaining credits in your final year are drawn from optional units, of which at least twenty must come from the mathematics side of the degree, ensuring genuine engagement with both disciplines throughout.

Bath's strong research culture and links to industry in the South West and beyond inform the intellectual environment of the programme.

You will develop the ability to think rigorously, to design and implement solutions to complex computational and mathematical problems, and to communicate technical ideas clearly.

Graduates from this joint degree are exceptionally well positioned in the labour market. Roles in software engineering, data science, quantitative research, financial technology, machine learning, cryptography, and academic research are all natural destinations. The combination of computational and mathematical depth is particularly valued in technology companies, research institutions, and any sector where rigorous quantitative reasoning is needed.

Postgraduate study in computer science, mathematics, or a related field is also a well-trodden path.