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Computer Science (Artificial Intelligence)

1 Study option · UndergraduateMain Site

Course summary

Our advanced, four-year MSci with a dedicated Artificial Intelligence (AI) pathway is designed to give you the knowledge, skills and practical experience to pursue a high level career in computing and AI. It offers a thorough grounding in computing as well as an in-depth study of the latest trends and technologies in the rapidly evolving world of AI. You will explore an AI related topic of your choice and showcase your abilities in an extended final year project. You will also have the chance to take courses from our MSc programmes and to graduate with an integrated masters qualification. It is particularly recommended for students who want to go on to postgraduate study or a scientific or technical career. You will not only enhance your knowledge and understanding of the subject but also gain a competitive edge over graduates from standard three-year BSc programmes.

AI is one of the most exciting and rapidly developing aspects of 21st century technology. On this programme you will learn from leading researchers in the field, covering topics such as computer learning, intelligent agents, neural networks, 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 thorough grounding in the fundamentals of computing and the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics. From the outset you be experimenting with programming games, robots, Gadgeteer kits, Subversion, JUnit testing, Scrum-based Agile software and more, in our well-equipped laboratories. Alongside our core modules you will have the flexibility to choose from a range of optional courses. There is also the possibility of transferring onto our five-year, year in industry programme subject to good academic progress.

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.

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, whichinforms our teaching.

How to apply

Application codes

Course code:
GG47
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 and 16 other computer science courses
Date range:
2022-2024

Offer rate for UK school & college leavers

83% 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

69 Employment after 15 months (Most common jobs)

87 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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