Artificial intelligence is increasingly important to computer games, web search, biometric systems and many other areas of modern IT.
This course will allow you to gain fundamental skills such as programming, mathematics, network architectures and project management, while studying specialist artificial intelligence topics such as machine learning, image analysis, text analytics and their applications in areas from vision to automated reasoning.
Drawing on our internationally leading research and development in the School of Computing and the University’s £5.5m National Facility for Innovative Robotics Systems, you’ll also explore how artificial intelligence is being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities through case studies from ongoing research projects.
You’ll apply your knowledge to project work in every year, giving you the skills and experience you’ll need for your future career.
**Course highlights**
- Our courses are shaped by our world-leading research in areas such as artificial intelligence, computational science and engineering, computational medicine and distributed systems.
- We’re a partner of the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
- During your project work you will access specialist facilities and laboratories in the brand new Sir William Henry Bragg Building.
- Small tutorial groups are used to support the teaching, so you get regular feedback from the academic staff helping you solve any problems that you might have with a particular topic.
Course Details - Modules
Modules are not listed for this Course.
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:
G700
Institution code:
L23
Campus Name:
Main Site
Campus code:
Points of Entry
The following entry points are available for this course:
Year 1
Year 2
Entry Requirements for Advanced Entry (Year 2 and Beyond)
Subject to places being available, you must achieve our published first year entry requirements and the relevant % average in your first year of study. Learning outcomes of year 1 of the degree programme you are applying to must also have been met.
International applicants
Standard Qualification Requirements
AAA including Mathematics or Computing. Grade B (6) or above in GCSE Mathematics is required if no Mathematics A-level is taken.
Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.
Excludes A-level General Studies or Critical Thinking.
AA at Advanced Higher level, including Mathematics or Computing, and AABBB at Higher level.
Pass 60 credits overall with 45 credits at Level 3, 30 credits with Distinction (including an appropriate number of Mathematics modules) and the remaining 15 credits with Merit or above.
35 points overall with 18 points at Higher level to include 5 in HL Mathematics: Analysis and Approaches or 6 in HL Mathematics: Applications and Interpretation or 5 in HL Computing. If only Computing is offered from the IB, Grade B or above in GCSE Mathematics (or equivalent) is required.
D*D*D with Distinctions in all Mathematics units. Mathematics units must include Further Mathematics. This unit may be optional on your BTEC but is it required by the Faculty. Please contact us for further information. Please note: there may be different requirements for the new RQF BTECs, please contact Admissions
H1 H2 H2 H2 H2 H2, including Mathematics.
D3, D3, D3 including Mathematics.
We typically receive a high number of applications for this course. To ensure we treat all applications fairly, we may put your application on hold until after the UCAS deadline before making a final decision. All applications received before the UCAS deadline are guaranteed equal consideration. For further information visit our course page.
This course is not accepting applications for deferred entry.
Please click the following link to find out more about qualification requirements for this course
Minimum Qualification Requirements
Minimum Further Information are not listed for this Course.
English language requirements
Test
Grade
AdditionalDetails
IELTS (Academic)
6.0
No less than 5.5 in each section.
English Language at grade C (4) or above, or an appropriate English language qualification is also required.
Unistats information
Student satisfaction :
75%
Employment after 15 months (Most common jobs):
80%
Go onto work and study:
95%
Fees and funding
Additional Fee Information
For further information please see http://www.leeds.ac.uk/undergraduatefees
Provider information
Woodhouse Lane
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Leeds
LS2 9JT
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