Robotic Engineering and Artificial Intelligence - Uni4edu

Robotic Engineering and Artificial Intelligence

Kingston University, United Kingdom

19200 £ / years

Master's & Postgraduate48 months
Modern robotics laboratory at Kingston University with students programming robotic arms, autonomous drones on workbenches, and large digital screens displaying AI algorithms, bright industrial-style engineering space with natural light
Master

Robotic Engineering and Artificial Intelligence MEng

Kingston University

Robotic Engineering and Artificial Intelligence

Duration4 Years
LanguageEnglish
FormatFull-time
CampusRoehampton Vale

Program Overview: Robotic Engineering and Artificial Intelligence at Kingston University

The Robotic Engineering and Artificial Intelligence program at Kingston University places you at the cutting edge of technological progress, addressing some of the most pressing challenges facing society today. You will explore autonomous systems, machine learning, computer vision, and intelligent control systems, gaining the vital skills required to thrive at the intersection of robotics and AI.

This hands-on program equips you with Future Skills needed to succeed in the rapidly evolving technological landscape. You will learn to harness artificial intelligence and other advanced technologies to design and develop intelligent systems and innovative solutions that make a positive impact on society.

Throughout the program, you will integrate the UN Sustainable Development Goals into your professional endeavours while working with industry-standard equipment and software in Kingston's engineering laboratories. The program is delivered at the Roehampton Vale campus, which features dedicated robotics labs and modern engineering facilities.

Key Program Highlights

  • Hands-on experience with industrial robotic arms, autonomous vehicles, aerial drones, and space robotics applications
  • Integration of Future Skills framework developed in consultation with leading employers across the UK
  • Access to state-of-the-art robotics laboratories using RoboDK, CoppeliaSim, and MATLAB/Simulink
  • Capstone project in the final year allowing you to apply knowledge and skills to real-world engineering challenges

Curriculum and Modules

The curriculum combines theoretical foundations with extensive practical application, covering core principles of robotic engineering and applied artificial intelligence. Each module is designed to build progressively on your knowledge, culminating in an advanced capstone project where you tackle real-world engineering problems.

Introduction to Electronic Systems and Robotics

30 credits

Covers fundamental circuit principles, actuators, sensors, and manipulators. Includes practical circuit building, simulation tools for circuit design and analysis, and hands-on programming projects to enhance digital competency.

AI and Machine Learning for Robotics

30 credits

Provides knowledge and skills in artificial intelligence and motion planning for industrial manipulators. Covers AI applied to computer vision, trajectory planning in joint and Cartesian space, and planning algorithms for efficient robot task execution.

Deep Learning for Robotic Applications

30 credits

Expands your knowledge in deep learning applied to robotic applications, covering Convolutional Neural Networks, Deep Reinforcement Learning, and Recurrent Neural Networks for designing intelligent robotic systems.

Human-Robot Interaction

15 credits

Explores the fundamental principles of human-robot interaction, focusing on the physical, cognitive, and social interaction between humans and robots. You will learn to design, evaluate, and implement effective HRI systems.

Mechatronic and Automation Systems

30 credits

Provides a high-level view on the design of mechatronic and automation systems, including mechanical design through specialised software, sensors and actuators, control design, and software development for real-time implementation.

Major Engineering Project (Capstone)

60 credits

An individual major project where you apply the knowledge and skills acquired throughout the program to a range of real engineering issues. This capstone project serves as a bridge to employment or further research at doctoral level.

Elective Modules

Bio-Inspired Robotics Design Modelling and Simulation in Soft Robots AI Ethics and Regulation Natural Language Processing

Admission Requirements

To be considered for the Robotic Engineering and Artificial Intelligence program at Kingston University, applicants must meet the academic and language requirements outlined below. Uni4Edu can guide you through the entire application process and help you prepare a strong submission.

Academic Requirements

  • Academic QualificationA-levels to include Mathematics and two Science subjects (Physics, Further Mathematics, Chemistry, Computer Science, Design and Technology, or Electronics), or equivalent international qualifications
  • UCAS Tariff Points128-144 UCAS points from three A-levels or equivalent Level 3 qualifications
  • Alternative QualificationsBTEC National Extended Diploma in Engineering or related subject such as Aerospace, Electrical, Electronic, or Mechanical Engineering
  • International BaccalaureateMust include grade 5 in Maths and two Science subjects at Higher Level
  • Foundation YearApplications from those who have undertaken an Engineering foundation year will also be considered

English Language Requirements

  • IELTSAcademic IELTS overall score of 6.0, with no element below 5.5
  • TOEFL / PTEEquivalent TOEFL or Pearson Test of English scores accepted; contact Uni4Edu for specific score requirements
  • Medium of InstructionA Medium of Instruction letter from approved institutions may be accepted as proof of English proficiency in some cases

Required Documents

Completed application form via Uni4Edu Academic transcripts and certificates English language proficiency certificate (IELTS, TOEFL, or equivalent) Personal statement Valid passport (for international applicants)

Application Deadlines

September Intake (International)
September Intake (UK/EU)
Late Applications

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

Kingston University offers several funding opportunities for students pursuing the Robotic Engineering and Artificial Intelligence program. Uni4Edu can help you identify and apply for scholarships that match your profile.

Inspire the Future Scholarship

40% reduction in fees

Available for taught masters or postgraduate diploma courses with September start dates. Twenty scholarships are available for progressing Kingston University graduates. Contact Uni4Edu for eligibility details and application support.

International Postgraduate Scholarship

Up to GBP 5,000

International postgraduate students could receive up to GBP 5,000 towards tuition in their first year of study. Contact Uni4Edu for application details and eligibility criteria.

Postgraduate Progression Scholarship

15% tuition fee reduction

Available to Kingston University undergraduate students progressing to a postgraduate degree. This scholarship provides a 15% reduction in tuition fees. Contact Uni4Edu for further information.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Graduates of the Robotic Engineering and Artificial Intelligence program are well positioned for careers across rapidly growing industries. The program's emphasis on hands-on experience, professional skills, and industry connections prepares you for immediate employment or further research at doctoral level.

Growing Demand for Robotics Professionals
Multiple Industry Sectors Hiring
12-Month Optional Work Placement

Potential Career Roles

Robotics Engineer AI and Machine Learning Engineer Automation Specialist Computer Vision Engineer Control Systems Engineer Research and Development Engineer

Industries and Employers

Manufacturing and Industrial Automation Autonomous Vehicle Companies Healthcare and Medical Robotics Aerospace and Defence Logistics and Transportation Technology and AI Startups

Rankings and Recognition

Kingston University is a well-established public research university located in Kingston upon Thames, South West London. The university has received a Gold rating in all three categories of the Teaching Excellence Framework (TEF), recognising its commitment to high-quality teaching and outstanding student experience.

QS World University Rankings
#660
2026
THE World University Rankings
801-1000
2025
US News Best Global Universities
#1534
2025
Teaching Excellence Framework (TEF)
Gold
2023
SubjectRanking BodyRank
Art and DesignQS World University RankingsTop 100
Engineering (London)Guardian University GuideTop 5 in London
QS European RankingsQS Rankings#85
UK National RankingUS News#83 in UK

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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