Postgraduate Open Evening - Clerkenwell Campus
3 Jun 2026, 15:45
London
Data science is an in-demand discipline across a wide range of sectors, from energy and transport to the creative industries. This Data Science degree will equip you with the valuable combination of computing and data analysis skills needed for a career in this fast-growing area.
During this Data Science degree, you will develop skills in computer science, such as algorithmic thinking and programming. You’ll also develop specialist data science skills needed for the extraction of actionable insights from data. These skills, combined with creative problem-solving, can answer challenging questions and bring new knowledge to light.
This skill set will be widely applicable within the computing industry and in various other sectors including retail and health, making our graduates highly employable.
Acquire leading-edge knowledge, skills and techniques required by the data science profession
Become proficient in a broad range of programming languages and software design techniques
Work with and learn from active researchers in machine learning, high-performance computing and data visualization
Apply your knowledge and skills to develop solutions in data-intensive sectors where insights can deliver commercial advantage or social benefit
Access excellent work experience opportunities at nearby Tech City.
Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional and on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
Discover what it's like to study Data Science at City St George's, University of London: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Students aged 17/18 who applied to this course were offered a place.
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