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Computer Science (Artificial Intelligence) at Nottingham Trent University - UCAS

Course summary

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. Professional accreditation Accreditation of courses by the BCS provides independent recognition that the course content is relevant to the IT profession. It ensures a level of standardisation across Higher Education institutions so that the courses meet the needs of employers. A key part of the accreditation is the incorporation of professional, ethical, social and legal issues relating to computing. Graduating from a BCS accredited degree allows students to apply for professional membership of the BCS, giving an accelerated route to Chartered status. Employers often look for accredited degrees, and accredited degrees are recognised internationally. 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. Take a work placement The salaried placement year is an important feature of the sandwich version of the course. The work experience gained from a placement year can give you a distinct advantage on graduating. It requires a successful application process through a company. The NTU Employability team provide support in finding a placement that is right for you and support all stages in the placement application process. Students can transfer between full-time and sandwich versions of the course up to the end of Level 5 (year 2).


How to apply

Application codes

Course code:
G415
Institution code:
N91
Campus name:
Clifton Campus
Campus code:
2

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

A lower offer may be made based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and individual circumstances (you may have been in care, for example). This is called a contextual offer and we get data from UCAS to make these decisions. NTU offers a student experience like no other, and this approach helps us to find students who have the potential to succeed here, but may have faced barriers that can make it more difficult to access university. We also consider equivalent qualifications and combinations. Please contact Nottingham Trent University Admissions team for further information.


Student Outcomes

Operated by the Office for Students
80%
Employment after 15 months (Most common jobs)
92%
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

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

Tuition fees for 2025 entry are yet to be confirmed. As a guide and to enable you to plan your finances, the fees for Home undergraduate students for 2024 are £9250. The current expectation is that the University may increase this for future and subsequent years of study in line with inflation and as specified by the Government.
Computer Science (Artificial Intelligence) at Nottingham Trent University - UCAS