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Artificial Intelligence and Robotics, at Aberystwyth University, involves the development of artificial systems, and is becoming increasingly relevant in commercial and domestic life.Examples of current and emerging artificial systems include home robots (for entertainment or assisting those with special needs), supply chain management systems, robots used in medical practice, robots in space, on land and at sea. Researchers from Aberystwyth have been active in all these areas. You will grasp the fundamentals of Artificial Intelligence and Robotics, in a supportive learning environment, with the opportunity to jump start your career with your Integrated Year in Industrial and Professional Training.
Student Satisfaction and Employability Results
90% of our Computing subject students agreed that staff are good at explaining things, 83% for the sector (NSS 2020).
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 Artificial Intelligence and Robotics at Aberystwyth University?
Employability is embedded in the structure of this degree.
You will have access to mobile and aerial robots, vision and motion tracking systems, micro controller systems and laser scanners.
You will have access to dedicated Linux, Mac OS X laboratories and central servers.
You will be taught by lecturers who have close links with the industry and software engineering conferences.
You will have access to robotic equipment including Arduinos, mobile robots and sailing robots.
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.
* Also available partially or entirely through the medium of Welsh
Employability
Our degree prepares you for a variety of careers:
software design
communications and networking
computer applications
web development
IT consultancy and management
systems analysis and development
education.
What skills do I acquire from this degree?
Employability skills are the 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 have 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.
Industrial Year students 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
online presence.
Learning & Teaching
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
computer infrastructure
web development
problems + solutions.
In your second year you will discover:
C and C++ and environments
software development lifecycle (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.)
robotics and embedded systems
artificial intelligence
data structures and algorithms.
In your third year, you will be taking part in your work placement, 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, and you will also return to University with a greater sense of motivation.
In your final year, you will undertake:
ubiquitous computing
machine learning
space robotics
professional issues in the computing industry
an 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.
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.
Student Views
AI & Robotics is great because it not only gives you the most concrete feedback that what you're doing works - by a robot moving how it's supposed to, or even just a single sensor or motor behaving properly - it also feels the most creative, because you're creating something that can respond to any kind of environment or input, and even learn how to respond to things it's never seen before. Mathew Hathaway
