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Computer Science (Artificial Intelligence) at University of Greenwich - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

This computer science degree specialising in artificial intelligence will help you learn about the latest developments in this fast-moving discipline. On this degree, you will learn about the emergence of specific application areas from Artificial Intelligence techniques and how Artificial Intelligence techniques are embedded in real world applications. The degree provides a firm grasp of the science underpinning computer and software systems. Modules include Artificial Intelligence Applications, Natural Computing and Machine Learning. You will gain practical experience of developing systems using the latest technologies and techniques, as well as exposure to the latest trends that will shape the future of computer science. By the end of the course, you will be equipped to study independently and develop and adapt your skills throughout your career. What you should know about this course

  • This degree helps you master the mathematical and analytical foundations underpinning Artificial Intelligence.
  • Gain experience of natural computation and swam intelligence using the latest cutting-edge technologies.
  • Learn how to elicit, analyse, and specify requirements for machine learning, building the skills for careers within your chosen area.
  • The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Initial Full Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in autumn 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.

Modules

All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.

Assessment method

Students are assessed through a combination of assessment methods depending on the modules chosen. Some courses may also include 'practice' assignments, which help you monitor progress and do not count towards your final grade. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.


How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

We make Contextual offers to this programme. Applicants that meet specific eligibility criteria will be made a contextual offer with a reduced tariff of up to 16 UCAS Tariff points. Other entry requirements such as GCSEs, Interview, etc., will still need to be met. For further information, please see our Contextual Admissions policy.

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

https://www.gre.ac.uk/undergraduate-courses/engsci/computer-science-artificial-intelligence-bsc-hons/2024


English language requirements

We accept a wide range of English language qualifications. For our English entry requirements, please click on the link below.

https://www.gre.ac.uk/international/help-and-support/courses


Student Outcomes

Operated by the Office for Students
60%
Employment after 15 months (Most common jobs)
79%
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

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
EU £17000 Year 1
International £17000 Year 1

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

These fees are currently set for 2024/25 entry. For more information, please visit: https://www.gre.ac.uk/finance/fees

Sponsorship information

We understand that the transition to University for Undergraduate students can be daunting and confusing when it comes to finances. The University of Greenwich has a wide range of bursaries, scholarships and other financial support measures to support students that require it most. More information can be found on our website at www.greenwich.ac.uk/finance/funding-your-studies

Computer Science (Artificial Intelligence) at University of Greenwich - UCAS