BEng Robotics
Entry requirements
A level: AAB including Mathematics (minimum grade A) and one further science. IB: Pass with overall score of 34 points, with 17 points at Higher Level, including either 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretations) and grade 5 at Higher Level in one further science.
About this course
Bachelor of Engineering in Robotics, a robotics degree focused on the creation and analysis of automated machinery and intelligent systems. Core topics include Programming, Systems Design, Control Systems, Data Analysis, Mathematical Modelling, Accounting, Engineering Design, and Artificial Intelligence & Machine Learning. The course includes an Individual Project in the final year. The first year covers fundamental engineering disciplines through modules such as An Introduction to Engineering Design, Data Science and Computing for Engineers, Electrical and Electronics Systems, and Introduction to Robotic Engineering. The second year progresses into specialized areas via Applied Mechatronic Systems, Electronics and Control, Engineering Management and Law, and Fundamentals of Robot Kinematics and Dynamics. The third year consolidates learning through advanced study and practical application in modules such as Applied Matrices for Computation and Machine Learning, Automotive Mechatronics, Control and Instrumentation, and Robotic Systems.
Modules
- An Introduction to Engineering Design
- Data Science and Computing for Engineers
- Electrical and Electronics Systems
- Introduction to Robotic Engineering
- Mathematics for Engineering and the Environment
- Mechanics, Structures and Materials
- ThermoFluids
- Applied Mechatronic Systems
- Electronics and Control
- Engineering Management and Law
- Fundamentals of Robot Kinematics and Dynamics
- Materials and Structures
- Mathematics for Engineering and the Environment Part II
- Mechanics, Machines and Vibration
- Systems Design and Computing
- Applied Matrices for Computation and Machine Learning
- Automotive Mechatronics
- Control and Instrumentation
- Engineering Design with Management
- Individual Project
- Robotic Systems
- Robots among us