AAB with A in Mathematics and B in Physics. Candidates taking a science A level with an associated practical skills assessment will also be required to pass the practical component.
MEng Robotics and Embedded Systems
Engineering, at Aberystwyth University,is concerned with building physical systems involving software,
electronics, sensors and actuators.
This scheme covers and wide range of topics including: mathematics, programming, artificial intelligence, robotics, software engineering and more. With a focus on building and running physical systems involving computerised sensing
and control.
Taught by research-led staff, in a supportive learning environment, you will attain highly valuable and transferable skills for a range of career paths.
Department of Computer Science: 92% overall satisfaction for the course Computer Science (NSS 2017)
98% of our graduates were in work or further study within 6 months, 8% more than Computer Science graduates nationally. (HESA 2018*)
Overview
Why study Robotics and Embedded Systems Engineering at Aberystwyth
University?
Access to dedicated Linux, Mac OS X laboratories and central servers
Access to robotic equipment including Arduinos, mobile robots and sailing robots
Understand software and the underlying mathematics describing it
Understanding of engineering mathematics and physics, such as instrumentation, forces, electricity and magnetism
Understand the engineering of professional high quality software systems
Hands-on experience of the engineering of robotics and embedded systems
Gain a firm foundation in computing skills, with specialized skills in robotics, artificial intelligence and systems engineering
Our Staff
Almost all of the Department of Computer Science Lecturers and Teaching Fellows are qualified to PhD level, and those who are not have considerable research or industrial experience. All new Lecturers and Teaching Fellows are required to obtain the PGCTHE, and hence are Senior Fellows or Fellows of the Higher Education Academy. The department also employs a number of part time demonstrators and tutors and some student demonstrators, who are selected from our undergraduate and postgraduate students. Research fellows and research assistants (mostly PhD qualified) may also be involved in delivering occasional teaching when it is appropriate.
Modules
Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.
Employability skills are core values of our degree.
As part of your degree you will be required to take part in
a first year residential weekend where you and other students will work in
teams to solve problems.
This activity will encourage and improve:
Communication skills
Analytical skills
Time management
Working independently and as part of a team
Organisation skills
Implementation skills
Research skills
Technical skills
If you are interested in taking part in the industrial year, then our sister course MEng Robotics & Systems Engineering (132D) will be for you. The five year course includes the integrated masters and your year in industry.
Teaching & Learning
What will I learn?
The breakdown below will provide you with an illustration of
what you may study during the four year degree scheme.
In your first year you will be introduced to:
Programming
Problems and solutions
Calculus, algebra, differential equations
Forces and dynamics
In your second year you will discover:
Mathematical Physics
Robotics and embedded systems
Our software development lifecycle module. This module will allow you to take a role which exists in the industry i.e. project manager, designer etc, you will be required to produce a working software product, following best current industrial practice at every stage.
Data structures and algorithms
Artificial Intelligence
In your final year, you will undertake:
Systems engineering
Space robotics
Applied control engineering
Individual project, where you will develop a piece of software in an area of particular interest to you
A range of further electives to specialise in areas of your choice (for example quantum information, semiconductor physics, machine learning)
In your masters year, you will study:
Intelligent Systems
Numerical methods, statistics, and a variety of other masters-level electives.
How will I be taught?
Our enthusiastic staff will teach you through the medium of lectures, seminars, tutorials, practicals and individual/ group based project work.
You will be assessed through a combination of coursework, practicals, projects, workshops and examinations.
You will be assigned a personal tutor throughout your degree course, who will help you with any problems or queries, whether these are academic-related or personal issues. You should feel free to contact them at any time for help and advice.
You will also have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth. This is a structured process of self-appraisal, reflection, and planning, which will enable you to chart your personal, academic and professional development throughout your time at university. By recording your academic performance, and highlighting the skills you already have and those you will need for future employability, the PDP portfolio will equip you with the necessary tools to plan effectively, develop successful approaches to study, and consider your future career options and aspirations.
