Core modules (180 Credits):
Introduction to Autonomous Systems (40 credits) – This module
will develop knowledge and understanding of data analysis, networking,
communication and artificial intelligence (AI) technologies and will explore
the benefits of these in autonomous systems. Practical sessions will develop
appropriate software skills.
Processing, Simulation and Optimisation of Engineering Systems (20 credits)
module will develop student knowledge and understanding of data processing
techniques and will explore the benefits of these in engineering practice.
Further study of simulation and optimisation techniques for
engineering systems will provide the tools to enable the students to develop dynamic
simulation of real engineering problems, including behaviour prediction and
performance optimisation using MATLAB/Simulink.
and Control for Autonomous Systems (20 credits) – The module covers a range
of classical and smart sensors and actuators which can be applied in
interactive and automated system, with emphasis on several key sensors. This module introduces the basic and
advanced concepts of linear and nonlinear modelling analysis and design of
intelligent control systems. This module has a strong hands-on component.
Engineering Research Methods and Professional
Development (20 credits)
You will use design research (DRM) to plan your research project and select
ethically suitable quantitative
and qualitative research methods. Your progression towards professional
registration will be appraised and plans made for continuous professional
and Analytics for Data Science (20 credits)
This module gives students an understanding of
modelling and analytics techniques for Data Science. It supplies modern data
modelling tool boxes for making strategic decisions in a broad range of Business
related practical situations. It offers a hands-on introduction to Bayesian
inference and machine learning.
Engineering Design Dissertation
- Work Based Learning (60 Credits)
This module allows students to demonstrate the practical skills and
knowledge of research methods to plan and implement high quality research.
Students will carry out a substantial research investigation on a topic of
their choice and report upon the aims, methodology, data analysis,
interpretation, synthesis, and conclusions through a high quality, scholarly
and professional write-up of the project.
Point Assessment Preparation (0
This module is aimed at
apprentices who will be undertaking an end point assessment (EPA) as a part of
their completion of the PG Apprenticeship. This module will run across the two
year programme and will assist apprentices and their employers to be
effectively equipped for the EPA.