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Robotics and Artificial Intelligence with Study Abroad

1 Study option · UndergraduateThe University of Hull

Course summary

Combine the fundamentals of computer science with the future thinking of robotics and AI.

Discover how robotics work and are programmed by using industry-standard facilities on campus such as our robotics lab complete with DJI Drones, Turtlebot3 mobile robots and humanoids like Baxter, Nao and Pepper.

Plus, develop advanced skills in Python, the language of AI, and study the ever-increasing impact of AI and robotics on society.

You’ll also broaden your horizons with a year of study at one of our partner universities across Europe, Asia, North America, or Australia. Gain new skills, build international contacts, and immerse yourself in a different culture and environment.

Why study at Hull?

Industry-leading facilities: Learn and hone your craft in our specialist robotics lab, used for robot development and programming activities, and in the Hull Immersive Visualisation Environment (HIVE) with VR theatre, gigapixel wall facilities and wearable devices.
Real-world experience: Build your network and your experience with a year studying abroad.
Learn beyond the lectures: You’ll be exposed to a range of extra-curricular opportunities as well as international events to help you practice and hone your skills in real-life situations.

Where could this take me?
Whether you specialise in robotics, AI or a blend of the two, the experience and technical expertise you’ll gain will put you in high demand as you forge your career in this fast-paced and evolving industry.

You could follow many of our graduates into the world of corporate business in roles including robotics software developer, simulation engineer, in autonomous automobiles or as an embedded software engineer. Or follow your vision with a tech start-up to become an architect of future technologies.

How to apply

Application codes

Course code:
HI42
Institution code:
H72

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 23 other computing courses
Date range:
2022-2024

Offer rate for UK school & college leavers

96% 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

60 Employment after 15 months (Most common jobs)

80 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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