Computer Science and Artificial Intelligence

Course summary
Why choose this course?
You’ll develop advanced competencies in computer science with a focus on large-scale system deployment, as well as in-depth knowledge of emerging technologies in Generative AI, Large Language Models (LLMs), and agentic AI.
Your studies will be enriched by Surrey’s 40 years of internationally acclaimed AI research, guided by world-leading academics who have shaped the future of the field. You’ll also learn from experts in cyber security to make large-scale systems secure and resilient.
Demand for graduates in this field is booming worldwide, offering diverse career opportunities. Surrey has an excellent record for graduate employability: 94 per cent of our computer science undergraduate students go on to employment or further study (Graduate Outcomes 2024, HESA).
Our award-winning Professional Training placements scheme also gives students industry experience and prepares them for roles in various sectors.
What you will study
You will study the core principles of computer science in your first year, which is shared with other computer science programmes. In your second year, you’ll then begin to build your specialist AI knowledge, setting you up for an optional placement year. You will then accelerate your learning in AI through the study of the latest developments in AI in your third year of study.
-Learn core computer science principles, concepts necessary for industrial deployment including programming, algorithms, computer security, parallel computing.
-Study advanced AI principles including GenAI, LLMs, computer vision, robotics, medical imaging, intelligent agents, and ethical AI systems.
-Take on hands-on projects using GPU-powered Linux systems, enabling training and deployment of real-world AI models.
-Participate in AI-based group projects with world leading researchers from CVSSP, NICE, and the Surrey Institute for People-Centred AI.
-Use languages and tools such as Java, C++, SQL, Python, and AI libraries.
How to apply
Application codes
- Course code:
- G568
- Institution code:
- S85
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Historical entry grades data BETA
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.
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Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
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Course optionsSponsorship information
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.
University of Surrey
Guildford
GU2 7XH
Course contact details
Admissions
Email:admissions@surrey.ac.uk
Phone:+44(0)1483 682222
