Robotic Engineering and Artificial Intelligence MEng/BEng (Hons)

Program Overview

The program emphasizes hands-on learning, sustainability, and collaboration, preparing graduates for careers in industries such as manufacturing, healthcare, and transportation.

Program Outline

• Provide students with the Future Skills needed to thrive in the rapidly evolving technological landscape.
• Equip students with the knowledge and skills to design and develop intelligent systems using artificial intelligence and other state-of-the-art technologies.
• Prepare students for a career in a wide range of fields related to robotics and artificial intelligence.

Outline:

• Structure:
• BEng (Hons):
3 years full time or 4 years full time including a sandwich year.
• MEng: 4 years full time or 5 years full time including a sandwich year.
• Course Schedule:
• Engineering Mathematics
• Introduction to Programming
• Introduction to Robotics
• Electromechanical Systems Data
• Microcontrollers and Interface Electronics
• Optional modules:
• Formula Student AI Fundamentals
• Year 2:
• Core modules:
• Numerical Analysis and Computing
• Robot Kinematics and Dynamics
• Exploring Engineering Project Management
• Control Systems
• Machine Learning and Computer Vision
• Robot Design and Build Project
• Year 3:
• Core modules:
• Applied Business Management
• Advanced Microcontrollers
• Digital Signal Processing
• Modelling and Simulation in Soft Robotics
• Applied Robotics and Artificial Intelligence
• Individual Project
• Aerial Robotics and Unmanned Vehicles
• Applied Deep Learning
• Biologically Inspired Robotics
• Human-Robot Interaction
• MEng Team Project

Assessment:

• Assessment Methods:
• Assignments:
Including written reports, design projects, and programming assignments.
• Exams: Assessing theoretical knowledge and understanding.
• Presentations: Demonstrating communication skills and research findings.
• Practical work: Hands-on projects and experiments to demonstrate technical skills.
• Assessment Criteria:
However, common criteria in engineering programs typically include:
• Technical accuracy
• Problem-solving skills
• Critical thinking and analysis
• Communication skills
• Teamwork and collaboration

Teaching:

• Teaching Methods:
• The course is delivered through a combination of:
• Lectures:
Providing foundational knowledge and theoretical frameworks.
• Seminars: Facilitating discussions and critical thinking.
• Small group tutorials: Offering personalized support and guidance.
• Placements: Providing real-world work experience.
• Project work: Applying knowledge and developing practical skills.
• Workshops: Hands-on learning in computer labs and laboratories.
• Faculty:
• The course team comprises highly-experienced staff members with extensive knowledge in both research and industry.
• Dr Payam Khazaeinejad is the Course Director.
• Other staff members include Dr Olga Duran and Dr Claudio Gaz.
• Unique Approaches:
• The program emphasizes hands-on learning and practical application through projects, workshops, and placements.
• The curriculum is designed to be diverse and inclusive, delivered by academics from varied backgrounds.

Careers:

• Potential Career Paths:
• Graduates will be prepared for a wide range of careers in the field of robotics and artificial intelligence, including:
• Robotics engineer
• Artificial intelligence engineer
• Software developer
• Research scientist
• Data scientist
• Automation engineer
• Control engineer
• Autonomous vehicle engineer
• Opportunities:
• The program provides students with the skills and knowledge to pursue career opportunities in industries such as:
• Manufacturing
• Healthcare
• Transportation
• Aerospace
• Research and development
• Start-ups
• Outcomes:
• Graduates will be equipped with the skills and knowledge to:
• Design, develop, and implement intelligent robotic systems.
• Solve real-world challenges using robotics and AI.
• Emphasis on Sustainability: The program encourages students to embrace the UN Sustainable Development Goals and integrate them into their professional endeavors.
• Electronics and robotics labs
• 3D design studio and workshop
• Mechanical engineering workshop
• Rolling roads
• Automotive testing facilities
• A Lotus Exige
• Cars and motorcycles built by engineering students.
• A recently enlarged library with specialist engineering books and journals.
• The Hawker Wing, a £4 million building providing extra space for students and staff.
• Placements: The program offers a sandwich year option to gain work experience in industry and enhance employability.
• Academic support team
• Dedicated personal tutors
• Careers and recruitment advice
• Placements team
• Employability preparation opportunities, such as placements, working or studying abroad, volunteering, and internships.

Fee category Amount Home (UK students) £9,250 International Year 1 (2025/26): £18,500Year 2 (2026/27): £19,200Year 3 (2027/28): £19,900Year 4 (2028/29): £20,700 A re-study of any modules will incur additional charges calculated by the number of credits. Fee category Amount Home (UK students) £9,250 International Year 1 (2024/25): £17,800Year 2 (2025/26): £18,500Year 3 (2026/27): £19,200Year 4 (2027/28): £20,100 A re-study of any modules will incur additional charges calculated by the number of credits. This decision only applies to new EU students starting after 2021/22. International students Need to know more?