BSc Mathematics with Computer Science

This is a three-year full-time undergraduate degree that integrates mathematics and computer science. It provides a strong foundation in both disciplines while preparing students for careers in areas such as data science, software development, analytics, modelling, and research.

The programme balances theoretical learning with practical applications, including programming, computational modelling, and project work. Accreditation by the Institute of Mathematics and its Applications ensures that the mathematics component meets professional standards, which is valuable for future career and postgraduate study.

Experiential Learning — How You Learn and Gain Skills

Students develop practical and theoretical skills through a combination of lectures, tutorials, projects, and software-based learning:

• Mathematics modules: Calculus, linear algebra, probability and statistics, differential equations, logic, and mathematical modelling.

• Computer Science modules: Programming (Python, Java), algorithms, data structures, computer graphics, artificial intelligence, and computational problem solving.

• Project work: Final-year projects or assignments integrating both mathematics and computer science to develop independent research, analysis, and presentation skills.

• Elective modules: Optional modules allow students to specialise in areas such as applied mathematics, advanced computing, data science, or theoretical mathematics.

• Software and digital tools: Training in programming languages, computational modelling tools, data analytics software, and high-performance computing environments.

• Tutorials and workshops: Small-group tutorials enhance understanding, encourage collaboration, and provide personalised support.

Skills and Career Readiness

Graduates from this programme gain:

• Strong analytical and computational skills, combining mathematics and computing.

• Practical experience with programming, modelling, and data analysis tools.

• Independent research and project management skills through course assignments and final-year projects.

• Preparation for careers in software development, data science, analytics, quantitative roles, or research.

• Solid foundation for postgraduate study in mathematics, computer science, data science, or finance-related areas.

Who This Programme Is Best For

• Students who want a degree combining mathematics and computer science without a placement year.

• Those interested in careers in data science, software engineering, analytics, modelling, or quantitative research.

• Students who value flexible study options and the ability to specialise in applied or theoretical modules.

• Individuals seeking a strong academic foundation for postgraduate study or professional qualifications.

Graduates with a BSc Mathematics with Computer Science gain strong analytical, computational, and problem-solving skills, opening up careers such as Software Engineer, Data Scientist, Quantitative Analyst, Systems Developer, Machine-Learning Engineer, Algorithmic Trading Analyst, or Business/Data Analyst. The combination of mathematics and computing prepares you for roles that require both abstract reasoning and technical implementation across technology, finance, research, and analytics sectors.

What the Degree Offers (Curriculum, Skills & Employability Features)

• Integrated mathematics and computing curriculum — Core mathematics (algebra, calculus, probability/statistics, modelling, analysis) alongside computer science topics (programming, algorithms, data structures, software development, computational methods).

• Skill development across sectors — You gain transferable skills for problem-solving, data analysis, logical reasoning, programming, software engineering, and modelling.

• Flexibility for diverse career paths — The dual focus allows graduates to work in tech, finance, data science, software, analytics, research, or consulting, rather than being limited to one field.

• Practical application of theory — Even without a placement year, the programme emphasizes applying mathematical concepts through programming, modelling, and computational projects, preparing students for real-world challenges.

• Employability support — Universities typically provide career advice, CV and interview preparation, and guidance for internships or graduate opportunities.

Further Academic or Professional Progression

After completing the degree, graduates can:

• Pursue a master’s or PhD in computer science, data science, artificial intelligence, machine learning, applied mathematics, or computational finance.

• Enter graduate-level roles in software development, data analytics, quantitative finance, research, operations research, or analytics consulting.

• Specialize in technical or research-oriented careers that combine mathematics and computing, such as ML engineer, data engineer, computational modeller, or algorithm designer.

• Explore a broad range of industries: technology, finance, fintech, analytics consultancies, research labs, engineering firms, and public sector analytics.