Data Science

Entry requirements

2:2 or equivalent undergraduate degree in computer science or a related field, obtained within the last five years. The degree should have modules in programming, mathematics, and algorithms or data science.

Months of entry

September

Course content

This course produces computational and mathematical engineers with a focused specialism in data science, equipped to make significant contributions to their career field and society as a whole.

The course builds upon your existing skills in computer science (coding, cloud computing, basic machine learning) and mathematics (linear algebra, probability, statistics and calculus). It will develop your training in the field of data science and allow advanced study into a range of specialised domains such as autonomous systems, computer vision, user experience, and advanced software engineering.

Your study is underpinned by three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It is the holistic combination of these three areas that make graduates attractive to employers.

You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. The course teaches you how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. You'll also benefit and learn from the Department's expertise in trustworthy systems.

Fees and funding