MEng Computer Science and Mathematics
About this course
Computer science and mathematics together constitute one of the most intellectually powerful combinations available at degree level. Mathematics provides the theoretical foundations on which computing rests, including logic, algebra, analysis, probability, and the theory of computation, while computer science brings those ideas into contact with the design of algorithms, data structures, programming languages, and systems that solve real-world problems. The two disciplines are deeply intertwined, and students who study them together develop an unusually rigorous and generative way of thinking. At University College London in London, this four-year full-time programme brings you into one of the world's leading computer science and mathematics departments. UCL's research strength in areas including machine learning, algorithms, computational complexity, pure and applied mathematics means that the academic environment is defined by genuine scientific ambition. You will study analysis, algebra, probability, statistics, discrete mathematics, algorithms, data structures, software engineering, artificial intelligence, and machine learning, with the freedom to deepen your knowledge in the mathematical or computational directions that interest you most as the programme progresses. The rigour expected of you here is substantial, and the rewards in terms of intellectual development and graduate outcomes are correspondingly high. Graduates from computer science and mathematics programmes are among the most sought-after in the graduate labour market. The combination is valued intensely in technology companies, financial services, data science, artificial intelligence research, cryptography, and consulting. Academic and research careers are natural paths for those who choose to continue, with a strong background for doctoral study in either pure mathematics, computational theory, or applied machine learning. The degree also provides outstanding preparation for roles in quantitative finance, where mathematical and computational skills combine.
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