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Robotic Engineering & Artificial Intelligence at Kingston University - UCAS

Kingston University

Degree level: Undergraduate

Robotic Engineering & Artificial Intelligence

Course options

2024 - 20252025 - 2026
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This course is subject to validation. You can still apply for this course while it is being approved.

Kingston University has participated in the Teaching Excellence Framework.These ratings were awarded in 2023, for four years.

What does this TEF outcome mean?

Open days

12Jun
Kingston University - undergraduate open day event
Undergraduate
6Jul
Kingston University - undergraduate open day event
Undergraduate
21Sep
Kingston University - undergraduate open day event
Undergraduate

Course summary

Reasons to choose Kingston University

  • Engage in a hands-on learning experience that builds a solid foundation in the core principles of robotic engineering and applied artificial intelligence, equipping you with the knowledge and skills sought after by the fast-paced industrial, commercial and domestic sectors.
  • Apply cutting-edge techniques to tackle real-world robotics challenges using artificial intelligence, gaining invaluable practical experience while deepening your understanding of the latest industry trends and innovations.
  • Dive into a wide range of applications, encompassing robotics, autonomous systems, artificial intelligence, machine learning, computer vision and intelligent control systems.
  • Collaborate with fellow students from diverse cultural, social and professional backgrounds in team-based projects, fostering a deeper appreciation for diversity, honing your ability to navigate varied perspectives, and nurturing an inclusive mindset vital for future engineering professionals.**Why choose this course?
About this course Robotic Engineering and Artificial Intelligence stand at the cutting edge of technological progress to address some of the most pressing challenges facing society today, encompassing innovations such as industrial robotic arms, autonomous vehicles, aerial drones and space robots. As a student on this course, you will acquire the vital skills and knowledge required to tackle these intricate challenges, opening up a world of possibilities at the intersection of these two potent fields, and ultimately making a significant impact on a global level. Our hand-on course equips you with the Future Skills needed to thrive in the rapidly evolving technological landscape. Discover how to harness the power of artificial intelligence and other state-of-the-art technologies to design and develop intelligent systems and contribute to the development of innovative solutions that can make a positive impact on society. The course will prepare you for a career in a wide range of fields and ensure that you are well-positioned to take advantage of the opportunities presented by the Fourth Industrial Revolution. Embrace the UN Sustainable Development Goals as a guiding force for a sustainable future for all. In this course, you will learn how to integrate these goals into your professional endeavours, actively contributing to their achievement. Our diverse and inclusive curriculum, crafted to meet the needs of varied communities, is delivered by academics from diverse backgrounds. This unique learning experience allows students to engage with people from different cultures and perspectives, enriching their understanding and broadening their horizons.

Assessment method

Teaching includes lectures, seminars, tutorials and practical laboratory sessions, backed up by design classes, workshops and site visits. Assessment methods are usually split between exam and continuous assessment coursework (e.g. reports, computer exercises, laboratories and essays). Some modules are assessed by coursework only.

How to apply

31Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
H900
Institution code:
K84
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

T Levels are an alternative to A levels, apprenticeships and other further education courses. T Level focuses on vocational skills and can help students into skilled employment, higher education and/or apprenticeships. Students who study T Level spend 80% of the course in the classroom, learning the skills that employers need. The other 20% is a meaningful industry placement, where they put these skills into action. T Levels are the equivalent to three A levels and we recognise the UCAS tariff points they attract in line with other qualifications that aid progression to higher education.

Please click the following link to find out more about qualification requirements for this course

https://www.kingston.ac.uk/undergraduate/courses/robotic-engineering-and-artificial-intelligence/

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Robotic Engineering & Artificial Intelligence at Kingston University - UCAS