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- Robotic Engineering & Artificial Intelligence with Professional Placement BEng (Hons)
Robotic Engineering & Artificial Intelligence with Professional Placement BEng (Hons)
Course options
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Qualification
Bachelor of Engineering (with Honours) - BEng (Hon)
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Location
Main Site
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Study mode
Full time
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Start date
15-SEP-25
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Duration
4 Years
Course summary
- 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 courseRobotic 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 SkillsEmbedded 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.
Application deadline
29 January
Tuition fees
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Information not available
Please check with the institution for most up to date details.
Entry requirements
Choose a qualification
QUALIFICATION TYPE
A level : ABB - AAA
A-levels to include Mathematics and a Science subject (Physics, Chemistry, Computer Science, Computing, Design and Technology or Electronics).
VIEW MOREUniversity information
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University League Table
88th
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Campus address
Kingston University, River House, 53-57 High Street, Kingston upon Thames, Kingston Upon Thames, KT1 1LQ, England
Subject rankings
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Subject ranking
30th out of 33
74th out of 117 3
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Entry standards
/ Max 218119 55%28th
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Graduate prospects
/ Max 10052.0 52%29th
3 -
Student satisfaction
/ Max 42.92 73%24th
3 -
Entry standards
/ Max 227119 53%92nd
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Graduate prospects
/ Max 10077.0 77%74th
36 -
Student satisfaction
/ Max 43.15 79%18th
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