Teesside University
Middlesbrough
Tees Valley
TS1 3BX
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Artificial Intelligence and Computer Science
2 Study options · UndergraduateTeesside University Middlesbrough Campus
Course summary
Course overview: From Amazon’s Alexa to self-driving cars, artificial intelligence (AI) is rapidly impacting all areas of business and society. You develop knowledge and skills in artificial intelligence, opening the door to a range of careers across all sectors.
You explore state-of-the-art technologies including intelligent systems, machine learning, agent-based modelling, intelligent support systems, planning and logistics, virtual agents, and hybrid algorithm design.
Top reasons to study this course
- Industry links: work on live industry briefs, competitions and hackathons with companies including Cisco, Cubic Transportation Systems, Sage, TUI, Atombank, HMRC and Waterstons.
- British Computer Society (BCS) academic membership: get free BCS membership to accelerate your career path with CV builder tools, e-learning courses, mentorships programmes, jobs boards and volunteering opportunities.
- Career-ready: our ExpoSeries of events allow you to showcase your skills to industry professionals who are seeking to recruit new and rising talent.
After the course: A wide range of opportunities are open to computer scientists with artificial intelligence including software analysts and developers, computer scientists and computer engineers, AI architects, machine learning engineers. Industry demand for individuals with these skill sets is increasing at a significant rate. As an Artificial Intelligence graduate you will be well placed to pursue a technical career in a wide range of industries.
Ways to study this course
Campuses
- Teesside University Middlesbrough Campus
Study options
- BSc (Hons) • Full-time • 3 Years
- BSc (Hons) • Sandwich • 4 Years
Start dates
- 15/09/2025
Application codes
- Course code:
- I402
- Institution code:
- T20
Teaching Excellence Framework (TEF)
Teesside University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
See why these ratings were awarded
What does this TEF outcome mean?
How to apply
Application codes
- Course code:
- I402
- Institution code:
- T20
This course may be available at alternative locations, please check if other course options are available.
Course optionsHistorical 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 11 other computing courses
- Date range:
- 2022-2024
Grades held by accepted students
- AAA
- Highest grades
- DDE
- Lowest grades
Offer rate for UK school & college leavers
Students aged 17/18 who applied to this course were offered a place.
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
Employment after 15 months (Most common jobs)
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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