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Robotic Engineering & Artificial Intelligence at Kingston University - UCAS

Kingston University

Degree level: Undergraduate

Robotic Engineering & Artificial Intelligence

Course options

2025 - 2026
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Kingston University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Course summary

Reasons to choose Kingston University

  • Focus on the core principles of robotic engineering and applied artificial intelligence. This programme is designed to provide you with the skills and knowledge highly valued in the rapidly evolving industrial, commercial, and domestic sectors.
  • Solve real-world robotics challenges using artificial intelligence.
  • Explore robotics, autonomous systems, artificial intelligence, machine learning, computer vision, and intelligent control systems.
  • Work alongside peers from various cultural, social, and professional backgrounds on team-based projects. This collaboration encourages appreciation for diversity, enhances your ability to understand different perspectives, and cultivates an inclusive mindset, which is essential for future engineering professionals.
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. Future Skills Embedded within every course curriculum and throughout the whole Kingston experience, Future Skills will play a role in shaping you to become a future-proof graduate, providing you with the skills most valued by employers such as problem-solving, digital competency, and adaptability. As you progress through your degree, you'll learn to navigate, explore and apply these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge. At Kingston University, we're not just keeping up with change, we're creating it.

Modules

Example modules: – Introduction to Robotics - Machine Learning and Computer Vision - Modelling and Simulation in Soft Robots - For a full list of modules please visit the Kingston university course webpage

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

29Jan

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

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

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

For international fees, please visit: https://www.kingston.ac.uk/undergraduate/fees-and-funding/fees/ Please visit the provider course webpage for further information regarding additional course costs
Robotic Engineering & Artificial Intelligence at Kingston University - UCAS