Typical A-level offer
AAB with A in Mathematics and B in Physics
At Aberystwyth University, the MEng Robotics and Embedded Systems Engineering is concerned with building physical systems involving software, electronics, sensors and actuators. This degree focuses on building and running physical systems involving computerised sensing and control.
Department of Computer Science: 92% overall satisfaction for the course Computer Science (NSS, 2017)
99% of our graduates were in work or further study within 6 months, 9% more than Computer Science graduates nationally(DLHE 2017)
95% of our graduates entered work at professional level, 15% more than Computer Science graduates nationally, (DLHE 2017)
- Teaching & Learning
Why study Robotics and Embedded Systems Engineering at Aberystwyth University?
- Study in a top 5 UK University and 1st in Wales for student satisfaction (NSS, 2017)
- Our research is ranked 11th in the UK and 1st in Wales (Times Higher Education)
- 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
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.
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.
- Algebra and Differential Equations *
- Calculus *
- Classical Dynamics *
- Introduction to Programming *
- Professional and Personal Development *
- Forces and Energy *
- Problems and Solutions
- Programming Using an Object-Oriented Language *
* Also available partially or entirely through the medium of Welsh
- Fundamentals of Intelligent Systems
- Machine Learning for Intelligent Systems
- Major Project *
- Professional Issues in the Computing Industry
- Space Robotics
- Advanced Numerical Methods
- Advanced Research Topics
- Advanced Software Engineering
- Agile Methodologies
- Computer Vision
- Enterprise Systems Development
- Internet Technologies
- Machine Learning
- Mobile Solutions
- Numerical Methods
- Quantum Information Theory 1
- Semiconductor Technology
- Statistical Concepts, Methods and Tools
- Ubiquitous Computing
* Also available partially or entirely through the medium of Welsh
Our degree prepares you for a variety of careers:
- Embedded systems design
- Software development
- Communications and networking
- Computer applications
- IT consultancy and management
- Systems analysis and development
What skills do I acquire from this degree?
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:
- 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.
Typical Entry Requirements
A Levels AAB with A in Mathematics and B in Physics
GCSE requirements (grade C min):
English or Welsh, Mathematics
BTEC National Diploma:
DDM with specified subject and A in A level Mathematics
32 points overall with specified subjects
80% overall with specified subjects
Applicants are considered on their individual merits and offers can vary. For further information, please contact email@example.com