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Computer Science including International Year

1 Study option · UndergraduateUniversity Park Campus

Course summary

Artificial intelligence is changing our homes, workplaces and lifestyles. Our course lets you explore this subject with optional modules in intelligent agents, autonomous systems, machine learning, and human-AI interaction.

You'll take part in a group project in year two which prepares you for designing and creating the computer systems of the future. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. This is great for your CV and can help you make contacts ready for when you start your career.

The benefit of this course is you'll spend your third year abroad. You could be studying in Australia, Canada, Hong Kong, Ireland, Mexico, New Zealand or Singapore. Read what it's like to study abroad and how it can open new doors for adventures, connections and opportunities.

The final year includes masters-level modules. You have full choice of what you study. You could work on your programming skills or try something new like being a STEM ambassador. You can conduct a substantial research project as a fourth year dissertation.

You may recognise some of our tutors from the Computerphile YouTube series. It is this inspiring teaching that you can expect at Nottingham.

Why choose this course?

  • Scholarships available: up to 50% off your tuition fees

  • Flexibility to transfer between computer science degrees during year one

  • No experience in programming is needed to apply for this course

  • Our graduates have an average salary £32,104 (HESA Graduate Outcomes Survey 2020 data extracted from the University of Nottingham Graduate Outcomes dashboard)

  • You’ll have the opportunity to apply to study abroad and gain a global perspective of computer science

  • Accredited by the British Computer Society

  • Top 20 for Computer Science in the UK (The Times and Sunday Times Good University Guide 2024 and Complete University Guide 2024)

How to apply

Application codes

Course code:
G406
Institution code:
N84

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Data from:
This course and 9 other computer science courses
Date range:
2022-2024

Offer rate for UK school & college leavers

81% Students aged 17/18 who applied to this course were offered a place.

This course has a required grade that may not be listed in the data. Check the entry requirements for the full qualification requirements.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

Student Outcomes

Operated by the Office for Students

74 Employment after 15 months (Most common jobs)

84 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

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