Typical A-level offer
BBC with B in Mathematics and B in Physics
Kick start and enhance your career prospects with our BEng Robotics and Embedded Systems Engineering with integrated year industry. This degree at Aberystwyth University is concerned with building physical systems involving software, electronics, sensors and actuators. This degree at Aberystwyth University focuses on building and running physical systems involving computerised sensing and control. Upon successful completion of this degree, you will have had the industrial experience that employers are seeking. If you are interested in enhancing your employability prospects further, then you will be interested in our integrated Masters MEng Robotics and Embedded Systems Engineering with integrated year industry (132D) , our five year course will allow you to complete a degree with a masters qualification and your industrial placement.
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)
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
- Agile Methodologies
- Computer Vision
- Machine Learning
- Numerical Methods
- Quantum Information Theory 1
- Ubiquitous Computing
- Advanced Software Engineering
- Semiconductor Technology
* Also available partially or entirely through the medium of Welsh
Our degree prepares you for a variety of careers;
In the 2016 Highflyers report, 32% of graduate vacancies are taken by those who have previously worked for a company on a placement or/ a internship. Make no mistake, you will develop confidence and gaining experience in the industry will stimulate your enthusiasm for the subject.
- 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
Students taking an industrial year have the opportunity to join a second year residential weekend concentrating on skills to help you find a great placement. This includes:
- CV skills
- Interview practice
- Networking with employers
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 life cycle 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 third year, you will be taking part in your work placement:
- This with the assistance of the department. By the end of this placement you will have the knowledge and understanding to make a substantial contribution in the workplace
- You will also return to University with a greater sense of motivation
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)
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 BBC with B in Mathematics and B in Physics
GCSE requirements (grade C min):
English or Welsh, Mathematics
BTEC National Diploma:
DMM with specified subject and B in A level Mathematics
28 points overall with specified subjects
75% overall with specified subjects
Applicants are considered on their individual merits and offers can vary. For further information, please contact email@example.com