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Computer Science (Artificial Intelligence)

1 Study option · UndergraduateMain Site

Course summary

Artificial intelligence (AI) is one of the most exciting and rapidly developing aspects of 21st century technology. It pervades our everyday lives, in image and voice recognition software, data security, intelligent web searching, drones, driverless vehicles, computer games, space exploration and cutting-edge medical advances, and its potential is vast. This is the perfect time to get involved. Our specialist three-year programme will give you all the knowledge, skills and practical experience you need to pursue a career at the cutting edge of AI and help to turn technological innovations into meaningful solutions that transform the way we live.

You will learn from leading researchers in the field, covering courses such as machine learning, intelligent agents, bioinformatics, information security and computational finance, and benefit from access to our internationally renowned Computer Learning Research Centre. All this will be underpinned by a solid grounding in the fundamentals of computing and all the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics. From the outset you will be experimenting with programming games, robots, Gadgeteer kits, Subversion, JUnit testing, Scrum-based Agile software and more, in our well-equipped laboratories. Alongside core modules in all three years, you will have the flexibility to choose between a range of optional courses, according to your interests.

We are a highly respected, research-focused department with a friendly approach and award-winning teaching. We offer a summer work placement programme and a dedicated personal adviser to guide you through your studies. You will also be welcome to join our Computing Society, a thriving community of more than 400 computer enthusiasts from across the College. We are one of only seven departments in the UK to hold the Athena SWAN bronze award for our commitment to increasing female participation in computer science. You will graduate with a wide range of technical skills in computing and AI, as well as valuable transferrable skills such as team working, communication, time management and self-motivation, ready to apply to the world of work.

A state-of-the-art Big Data cluster comprising 32 processors, 32 Terabytes of disk storage, GPU and RDMA networking allows you to work on real case studies.

We develop both fundamental theory and practical algorithms that feed into the analytics methods and techniques that are in use today.

Our research involves cognitive and autonomous agents, automated planning, scheduling and domain-independent search control, and applications in surveillance operations, disaster response missions, and space operations.

We collaborate with Microsoft Research, IBM Research, NEC Labs Europe, Facebook, Google, and NASA, which informs our teaching.

How to apply

Application codes

Course code:
G4G7
Institution code:
R72

Open days

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.

Data from:
This course
Date range:
2022-2024

Offer rate for UK school & college leavers

86% Students aged 17/18 who applied to this course were offered a place.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

Student Outcomes

Operated by the Office for Students

55 Employment after 15 months (Most common jobs)

90 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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