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Robotics and Artificial Intelligence at University of Hull - UCAS

Course summary

Combine the fundamentals of computer science with the future thinking of robotics and AI. Develop advanced skills in Python, the language of AI, and study the ever-increasing impact of AI and robotics on society, as well as discovering how robotics work and are programmed. You’ll do it all by accessing industry-standard facilities on campus such as our robotics lab with DJI Drones, Turtlebot3 mobile robots and humanoids like Baxter, Nao and Pepper. Our Integrated Masters (MEng) course combines undergraduate and postgraduate studies into a single course, giving you an advanced understanding of your subject and preparing you for a technical or research-based career. 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 in industry • 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. Our MEng degree fully meets the requirements for both Chartered IT Professional and Chartered Engineer status.

Modules

Core modules include: Fundamentals of Robotics Computational Thinking Programming Portfolio Artificial Intelligence for Computer Science Microcontrollers, Sensors and Communications Embedded Systems Development Optional modules include: Communicating and Teaching Computing Digital Disruption and Innovation Machine Learning Natural Language Processing All modules are subject to availability and this list may change.


How to apply

Application codes

Course code:
HI44
Institution code:
H72
Campus name:
The University of Hull
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Applicants must also have GCSE Mathematics grade C/4. Applicants with other qualifications are welcome to apply.


English language requirements

TestGradeAdditional details
IELTS (Academic)6This course requires IELTS 6.0 overall, with at least 5.5 in each skill. For other English language proficiency qualifications accepted by the University please visit www.hull.ac.uk
Institution's Own Test60% overall (with minimum 55% in each skill)

Please click below for a list of the English language qualifications we accept.

https://www.hull.ac.uk/Choose-Hull/Study-at-Hull/Admissions/English-language-requirements.aspx


Student Outcomes

Operated by the Office for Students
78%
Employment after 15 months (Most common jobs)
89%
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

Republic of Ireland £9535 Year 1
England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
International £17500 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

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Robotics and Artificial Intelligence at University of Hull - UCAS