Mathematics and Computer Science

About this course

Mathematics and computer science are disciplines with a deep and productive relationship. Computer science is built on mathematical foundations: algorithms are proved correct or bounded in time using mathematical reasoning, cryptography depends on number theory, machine learning rests on linear algebra and probability, and the theoretical limits of computation were established by mathematicians before the first computers existed. Studying them together gives you a perspective on each that would be harder to achieve studying either alone, and it produces graduates with both the formal precision of mathematical thinking and the practical engineering skills of computing. At York, this four-year programme develops your mathematical and computational abilities in parallel, covering topics that are core to each while exploring the rich territory where they intersect. You will study areas such

Where its graduates go

The 5 largest scored destinations, covering 119% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 69% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 15% of graduatescards →
• 55 / 100Administrative occupations · 15% of graduatescards →
• 52 / 100Finance Professionals · 15% of graduatescards →
• 48 / 100Business and public service associate professionals · 5% of graduatescards →

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