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If you're fascinated by the logical beauty of mathematics and the practical capabilities of computing, our Computer Science and Mathematics programme explores their intrinsic connection in tackling real-world challenges. With industry placements and specialist modules focused on professional skills development and employability, you'll graduate equipped with the theoretical knowledge, professional insights, and practical abilities to tackle a range of challenges across various sectors.
As many real-world computational problems are interdisciplinary in nature and solving them requires skills and techniques from both computer science and mathematics, there is high demand for graduates with the theoretical foundations, professional understanding and practical skills required to create the systems of the future.
Computer Science and Mathematics at Keele will support you in learning a variety of techniques and skills from these closely connected disciplines, allowing you to solve a diverse range of scientific and technical problems across various sectors.
The BSc (Hons) Computer Science and Mathematics at Keele University is an excellent choice for students who want to develop strong problem-solving, analytical, and computational skills for careers in software development, data science, AI, and finance. Here’s why this program stands out:
Combines computer science (programming, algorithms, AI, cybersecurity) with mathematics (statistics, algebra, calculus, and mathematical modeling).
Develops logical thinking and quantitative problem-solving skills—highly valued in tech and finance.
Hands-on experience with Python, Java, MATLAB, R, and machine learning frameworks.
Solve real-world problems in data analysis, cryptography, AI, and software engineering.
Final-year project integrating computing and mathematical techniques.
Option for a placement year to gain industry experience.
Graduates are in high demand in tech, banking, AI, data science, and software development.
Career pathways in Software Development, Data Science, AI Engineering, Financial Technology (FinTech), and Cybersecurity.
Strong foundation for MSc in AI, Data Science, or Financial Mathematics.
Access to computing labs, AI tools, and high-performance computing resources.
Learn from experts in machine learning, quantum computing, and applied mathematics.
Smaller class sizes allow for personalized learning and mentorship.
A beautiful campus with a strong academic and student community.
Graduates work at IBM, Microsoft, JPMorgan, government agencies, and AI startups.
Provides a strong foundation for postgraduate study or industry certifications.
UCAS Application • Official High School Transcripts • Personal Statement • Educational Resume • Letter of Recommendation by School TeacherIELTS 6.0 overall with 5.5 in each sectionTOEFL iBT: 79 with 17 (writing), 17 (listening), 18 (reading) and 20 (speaking)Duration 2 years or 3 years with international or placement yearSoftware EngineerData ScientistMachine Learning EngineerAlgorithm EngineerQuantitative AnalystCryptographerComputational ScientistOperations Research AnalystAI EngineerCybersecurity AnalystData EngineerMathematical ModelerResearch ScientistActuarial AnalystTheoretical Computer Scientist
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Keele University
