Course Summary

Set in 600 acres of countryside in North Staffordshire, we have one of the largest and most beautiful campuses in Britain. We’re proud to be No.2 in England for Student Satisfaction with Course (Guardian University League Table, 2020), investing more than £140m in our campus in the last ten years, including £45m new science laboratories. In 2021 we were proud to be awarded Sustainability Institution of the Year at the prestigious Green Gown Awards as part of our mission to become a carbon neutral campus by 2030. We're committed to supporting you to achieve your career goals, and have a dedicated Careers and Employability team who can assist you to navigate your options beyond Keele. How can a machine learn? And how can you implement an algorithm mimicking natural behaviour? With this specialism you will learn the theory and practice behind artificial intelligence, and gain recognition of this in the title of your final award. You’ll learn to use technology to create new opportunities and to solve a wide range of problems, benefiting every aspect of society from the home to business, government and beyond. Our teaching is informed by our cutting-edge research, and we also reflect what’s happening now in industry. There’s a strong emphasis on programming – but don’t worry if you don’t have A Level Mathematics because the course covers what you need to know. You’ll have access to our computing labs, based on Microsoft Windows and Linux, plus a wide range of software. Our excellent central location is ideal for industrial placements, with over 40 companies situated on the Keele Science Park alone. By following the Artificial Intelligence route through the degree programme, you will have the opportunity to discover modern approaches to Artificial Intelligence which may include computational intelligence and nature-inspired algorithms. This specialism is strongly research focused; you will explore practical application of cutting-edge techniques on real-world problems. The specialism includes study of topics such as artificial neural networks, evolutionary computation, as well as covering adaptive behaviour in natural systems from the perspective of computational neuroscience.

Course Details - Modules

For a list of indicative and likely optional modules please visit the course website.

Course Details – Assessment Method

Assessment Methods are not listed for this Course.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application Codes

Course code: G410

Institution code: K12

Campus Name: Main Site

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.

International applicants

Standard Qualification Requirements

112 UCAS Tariff points including a minimum of 15 Level 3 credits at Distinction


Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/computerscienceartificialintelligence/#entry-requirements

Minimum Qualification Requirements

Minimum Further Information are not listed for this Course.

English language requirements

Test Grade AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.

Unistats information

Student satisfaction : 0%

Employment after 15 months (Most common jobs): 0%

Go onto work and study: 0%

Fees and funding

EU 17900.0 Year 1
England 9250.0 Year 1
Northern Ireland 9250.0 Year 1
Scotland 9250.0 Year 1
Wales 9250.0 Year 1
International 17900.0 Year 1

Additional Fee Information

Additional Fee Information are not listed for this Course.

Provider information

Address1 are not listed for this Course.
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Keele
ST5 5BG

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