Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (a top ten UK university for Maths, QS World University Rankings by subject 2024).This four-year course combines rigorous training in mathematics with an understanding of computer science and its applications.Mathematics is the language of the sciences and is of core value in an advanced understanding of computer science. Computer science provides many of the key tools needed to solve the most important and pressing problems of the modern age.The degree is ideal for someone looking to apply themselves in fields as varied as high finance, cryptography, quantum computing, algorithm design, machine learning and data science.
Research Projects: Final-year advanced research project integrating mathematical modeling, algorithms, and computational techniques.
Industry Placements: Internship opportunities with tech firms, financial institutions, and research labs in fields such as AI, cryptography, and quantitative finance.
Group Computational Projects: Hands-on experience working on optimization algorithms, statistical learning models, and high-performance computing.
Hackathons & Competitions: Participation in algorithmic coding contests (e.g., ACM ICPC), cryptography challenges, and machine learning competitions.
PhD Research: Specialization in theoretical computer science, quantum computing, machine learning, or mathematical modeling.
MBA in Tech & Finance: For leadership roles in fintech, AI startups, or tech consulting.
Professional Certifications: Actuarial science, data science (AWS, TensorFlow), or finance-related qualifications (CFA, FRM).
Strong links with financial institutions, AI research labs, and cybersecurity firms.
Advanced MEng qualification provides a competitive edge in technical and leadership roles.
High demand for expertise in data-driven industries, fintech, and cutting-edge AI research.
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