BEng (Hons) Robotics, Autonomous and Interactive Systems

at Heriot-Watt University

• Provides fundamental mathematics, electronics, programming, and mechanical engineering skills essential for future coursework.
•  Expands upon core skills with in-depth exploration of electronic engineering, software development, and mechanical engineering concepts.
• Introduces key principles of robotics and autonomy through courses on robot kinematics and autonomous vehicle control, complemented by practical activities.
• Offers advanced specialisations including signal processing, artificial intelligence, graphics, and system design to deepen expertise in relevant areas.
• Engages students in a comprehensive team design project that integrates taught material, fostering collaboration and practical application of knowledge in real-world scenarios.

Important Dates

This programme commences from September 2024

Modules:  

• Robotics and Automation
• Embedded Systems
• Signal and Image Processing
• Virtual Worlds and Interaction
• Biologically Inspired Computing

• Successful completion of high school education is mandatory.
• Applicants are required to achieve a minimum overall score of 70% in the year 12 state board high school examinations, with a minimum of 70% attained in relevant subjects.
• Specifically, applicants must demonstrate proficiency in Mathematics and Physics.
• A minimum IELTS score of 6.0 is also required for English proficiency.
• PTE- A minimum overall score of 50-57 with at least 51 in each component is necessary for consideration.

The BEng (Hons) Robotics, Autonomous and Interactive Systems fee is £24,048/Yr. Review the comprehensive fee breakdown and potential funding sources available on the university's website to make well-informed choices regarding your professional path.

The BEng (Hons) Robotics, Autonomous, and Interactive Systems programme opens up diverse career pathways in robotics and autonomous systems, empowering graduates to explore cutting-edge technologies such as AI, deep learning, and machine learning. With expertise in multi-agent systems, graduates can revolutionise the performance of autonomous systems and robotics. This dynamic field presents several  opportunities for individuals driven by a passion for technology and innovation.