BSc (hons) mathematics & computer science

3 Years On Campus Bachelors Program

University of Birmingham

Program Overview

The Mathematics & Computer Science degree is designed for students who love both abstract mathematical reasoning and practical computation or programming. It gives you strong foundations in mathematical theory and computational skills — ideal if you aim for careers at the intersection of mathematics, software, data science, modelling, or algorithm design.

Curriculum Structure

Year 1

You begin with core mathematical foundations: calculus, linear algebra, probability/statistics and introductory mathematical methods — the tools needed for logical and analytical thinking. Alongside that, you would study introductory computer science: programming basics (likely using languages such as Python or Java), algorithms and data structures, and fundamentals of computing. This dual foundation ensures you grow both your mathematical reasoning and coding/problem-solving skills from the start.

Year 2

In Year 2, you build on both strands: in mathematics by studying more advanced topics (multivariable calculus, differential equations, applied maths or statistics), and in computer science by covering algorithms in depth, data structures, possibly discrete mathematics, computational modelling, and perhaps modules in software development or computational mathematics. This helps you see how mathematics underpins computer science — from logic and proofs to computational algorithms and data handling.

Final Years (Years 3–4 or 3 if it's a 3-year programme)

In the later years, you’d have freedom to choose specialisations. On the mathematics side: advanced modules like mathematical modelling, statistics, optimisation, or differential equations. On the CS side: more advanced computer science topics — perhaps databases, machine learning/data science, computational algorithms, software engineering, or theory of computation. Many programmes also offer a substantial independent project combining both areas — for example building a computational project solving a mathematical or data-driven problem, or doing mathematical analysis supported by software.

Focus Areas

Pure and applied mathematics, computational mathematics, algorithms, data structures, programming, mathematical modelling, data analysis / data science, optimisation, applied problem solving at the intersection of maths and computing.

Learning Outcomes

Graduates will be able to apply rigorous mathematical reasoning, use programming and computational tools to model or solve complex problems, integrate mathematics and computing knowledge, design and implement algorithms, analyse data quantitatively, and communicate technical results effectively. You emerge ready for roles in software, data science, analytics, modelling, research, or further postgraduate studies.

Professional Alignment

This degree suits career paths such as software engineering, data science, quantitative analytics, research computing, actuarial/data modelling jobs, financial modelling, or any role requiring strong analytical + computational skills. It also sets a strong foundation if you plan for postgraduate studies in mathematics, computer science, data science or computational sciences.

Reputation & Strengths (Based on University of Birmingham’s Culture)

The University of Birmingham has strong departments in both mathematics and computer science, giving students access to solid academic training, diverse optional modules, and a supportive research environment. A combined mathematics + computer science degree would benefit from this breadth — offering both theoretical depth and practical skills, which is attractive to employers in tech, finance, research and data-driven industries.

Experiential Learning (Research, Projects, Internships etc.)

This programme is designed for students who enjoy the precision of mathematics and the creativity of computer science. It equips you with strong analytical thinking, mathematical modelling skills, and the ability to design, understand, and apply computational methods. The two subjects complement each other perfectly, giving you a highly versatile academic profile.

📚 What you study — a clear year-by-year breakdown

Year 1 — Core foundations in both subjects

You start with essential mathematical topics like calculus, linear algebra, probability, and differential equations. At the same time, you build your computing fundamentals through modules in programming, algorithms, and computer systems. This year ensures you have a strong base to progress confidently into more advanced study.

Year 2 — Expanding knowledge and developing expertise

You dive deeper into mathematics with areas such as combinatorics, analysis, and advanced modelling. In computer science, you explore subjects like databases, functional programming, and algorithmic problem-solving. Optional modules start appearing here, giving you the chance to shape your degree towards what you enjoy most.

Year 3 — Specialisation and your final-year project

Your final year gives you the freedom to choose from a broad range of both mathematics and computer science modules. You can focus on areas like pure mathematics, applied mathematics, algorithms, software development, or computational methods. You also complete a substantial project in either Mathematics or Computer Science, allowing you to work independently on a topic you find meaningful.

🌍 What you gain — valuable skills for a flexible future

Strong mathematical reasoning, including modelling, analysis, algebra, and statistical methods.
Robust computational and programming skills that prepare you for a wide range of modern tech careers.
The ability to solve complex problems using both abstract mathematics and practical coding techniques.
Experience working independently through a final-year project that showcases your analytical and technical abilities.
A balanced academic background that opens doors to roles in software engineering, data science, finance, analytics, research, tech innovation, and more.

🎓 Why this programme is a great fit for you

If you enjoy both numbers and logic-driven computing, this course allows you to develop depth in both areas without having to choose one over the other. You graduate with skills that are in high demand, and with the freedom to enter academically rigorous postgraduate programmes or tech-driven industries. It’s an excellent choice if you’re aiming for flexibility, strong career prospects, and a well-rounded analytical education.

Progression & Future Opportunities

With a BSc in Mathematics & Computer Science from Birmingham, you combine strong quantitative and logical reasoning skills with practical programming and computational tools. This opens up a wide range of career paths including software developer / engineer, data scientist / data analyst, quantitative / algorithmic analyst, systems analyst / IT consultant, or researcher in computational mathematics and computer science.

This dual background makes you well-suited for roles that require both mathematical modelling and coding/algorithmic thinking — bridging pure math with real-world applications in tech, finance, analytics, engineering, or research.

What Makes the Degree Stand Out

Balanced, rigorous training in mathematics and computing: You study core mathematics — calculus, algebra, statistics, modelling — alongside computer science fundamentals and applied computing. This equips you with both the theory and the practical tools that many employers seek.
Versatile skill-set for modern workplaces: The combination of mathematical reasoning, algorithmic thinking and programming makes you flexible. Whether you want to work in tech, finance, data science, engineering, or research, this degree gives you the foundations.
Strong employability and industry readiness: By covering both mathematics and computer science, you’re prepared for fast-moving, data-driven sectors and technology-driven roles, which are in high demand globally.
Long-term value and adaptability: Even as industries evolve, the core competencies you build — logical reasoning, problem-solving, computation, data analysis — remain relevant. This gives your degree lasting value and flexibility over time.
Good base for further study or specialization: The hybrid nature of the degree keeps doors open for postgraduate studies — either in pure/applied mathematics, theoretical or applied computer science, data science, machine learning, or other interdisciplinary fields.

Further Academic Progression:

After finishing the BSc, you have multiple options depending on your interests. You could continue into a master’s (MSc) or even PhD in areas such as Data Science, Machine Learning / Artificial Intelligence, Computational Mathematics, Software Engineering / Computer Science, Financial Computing, or Applied / Pure Mathematics. If you prefer a professional route — for example software development, data engineering, algorithm design, research & development — the degree prepares you well for such paths too.