The course
- UCAS code
- HP71
- Duration
- Up to 4 years
- Location
- Edinburgh
- Delivery type
- Full-time
Contact
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Contact
Dr. Alexander Belyaev
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Telephone
+44 (0)131 451 3437
Overview
Robotic and Autonomous Systems are now used in areas such as autonomous vehicle guidance, health care, remote surgery, industrial manufacturing and domestic assistance. This multi-disciplined BEng Robotics degree brings together electronics, computer software, and mechanics. In the first three years, you’ll be given a background in all three disciplines, along with the opportunity to build integrated systems. In the final two years, you can either continue with a broad-based curriculum, or specialise in particular aspects of contemporary robotics.
The MEng Robotics degree includes a six-month industry placement, during years 4 and 5. Advanced courses can also be chosen from the three departments: Electronic Engineering, Computer Science, and Mechanical Engineering.
Accreditation
Accreditation for this bachelors in Robotics by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer is expected in March/April 2018.
Course content
Detailed course guideYear 1
Provides the basic mathematics, electronics, programming, and mechanical engineering skills that form the core knowledge for later work.
Year 2
Builds on the core skills with more advanced electronic engineering, software and mechanical engineering topics. Concepts of robotics and autonomy are introduced through courses on robot kinematics and autonomous vehicle control. This work is supported by practical activities.
Year 3
Includes more advanced specialisms, including signal processing, artificial intelligence, graphics and system design. There is a large team design project that builds on and integrates the taught material.
Year 4
Options allow the student to focus on particular areas of interest. Topics include: robotics and automation, embedded systems, signal and image processing, virtual worlds and interaction, and biologically inspired computing. A project covering the full year allows the student to investigate and solve a significant science or engineering problem.