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Artificial Intelligence

1 Study option · UndergraduateCentral area campus

Course summary

Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour.

There are two main motivations for research. One is to understand natural intelligence through the use of computer models. The other provides techniques and technology for building systems capable of intelligent decisions and actions. AI is both a science and an engineering discipline.

Applications of AI range from 'smart' controllers for household devices to computers with the ability to:

  • converse in English

  • play games

  • conduct intelligent web searches

  • act as the brain of a robot

We offer a wide range of AI courses delivered by leaders in their field. You will have the flexibility to focus on the areas of artificial intelligence that interest you most.

Is this degree for me?

You do not need to have taken Computer Science or learned programming as all students are taught computation from a common starting point. You need to have taken mathematics, as enthusiasm for mathematics is key to being successful in our programmes.

Second year entry is not available.

Programme benefits

  • Tailor your experience to your interests and be in control of your learning: choose from a wide range of courses, from the theoretical to those that let you apply what you learn.

  • Gain a degree that opens doors in most industries: our graduates are in high demand not only within the growing technology sector but across a wide range of organisations where Informatics graduates are highly valued.

  • Benefit from research-driven teaching by internationally leading academics.

  • Take advantage of our strong links to industry with local, national and global contacts. Student societies based in our School host industry events, monthly student tech meetups, regular workshops and hackathons.

  • Study in Edinburgh, a city regularly voted among the UK’s top student cities (Top 2 in the UK, QS Best Student Cities 2024).

  • We are the largest Informatics department in Europe. You will be part of a large, vibrant community of students and staff from over 100 countries.

How to apply

Application codes

Course code:
G700
Institution code:
E56

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.

Not available

Historical entry grades data is not currently available for The University of Edinburgh - we are working with them to try and make it available soon - learn more.

Student Outcomes

Operated by the Office for Students

80 Employment after 15 months (Most common jobs)

95 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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