Course summary
You'll develop the practical skills and knowledge in programming, maths and engineering that will get you off to a flying start when you move onto BSc (Hons) Computer Science (Artificial Intelligence) in your second year. This course is aimed at students who are interested and inspired by the new AI technologies and want to work to become a leader in meeting the challenges posed by AI and big data. This course will support students with a broad range of skills required to work in the field of AI - including machine learning, natural language processing, problem solving and other cognitive techniques, as well as an understanding of the professional and ethical considerations that surround AI. It is designed to enable you to develop the knowledge and skills that are necessary for, specifically, a career in the industry sectors undertaking the design of intelligent computer systems and emerging smart technologies and, generally, for a broad range of careers in industrial, commercial and scientific computing. The BSc (Hons) Computer Science (Artificial Intelligence) degree has been designed to meet the accreditation requirements of BCS – the Institute for IT, for both CITP and partial CEng registration. Develop your portfolio The course puts theory into practice through skills development relevant to the modern world, in particular, the use of artificial intelligence (AI), machine learning and cognitive computing in an increasing number of industry sectors. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the industries using AI, you will develop transferable skills which will make you suitable for general graduate employment in an ever-changing job market. Research informed teaching As well as giving you a robust general education in Computer Science, with emphasis on AI design and development, the Computer Science (Artificial Intelligence) degree will provide the knowledge and skills necessary for research and development in other technically advanced fields of computing.
How to apply
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:
- I400
- Institution code:
- N91
- Campus name:
- Clifton Campus
- Campus code:
- 2
Points of entry
The following entry points are available for this course:
- Foundation
Entry requirements
Qualification requirements
UCAS Tariff - 72 points
A level
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - MMP
Access to HE Diploma
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
GCSE/National 4/National 5
T Level
We also consider equivalent qualifications and combinations. Please contact Nottingham Trent University Admissions team for further information.
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Nottingham Trent University
50 Shakespeare Street
Nottingham
NG1 4FQ