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Explore the fundamentals of Computer Science and Artificial Intelligence (AI) here at Aberystwyth University - with an Integrated Industrial and Professional Training Year to jump start your career prospects, upon successful completion.
The degree itself, which is accredited by the Chartered Institute for IT (BCS) on behalf of the Engineering Council, allows you to develop the skills needed to solve complex problems that include analysis, design, solution choice and implementation.
You will be equipped with the appropriate skills for any typical job in the software industry. However, the AI emphasis will give you the head start in job areas of autonomy, AI, medical and/or bioinformatics tasks, computational intelligence, commercial/business programming of softbot applications, intelligent controllers and more.
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 Computer Science and Artificial Intelligence with an Integrated Industrial Year at Aberystwyth University?
Employability is embedded in the structure of this degree.
This degree is accredited by theBCS (the Chartered Institute for IT) on behalf of the Engineering Council, which gives you a head start when you enter the competitive job market.
The department will give you 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.
Students on this course 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.
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 may be introduced to:
programming
computer infrastructure
web development
problems and solutions.
In your second year you may 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, and 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 may 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 workplacem, and you will also return to University with a greater sense of motivation.
In your final year, you will undertake:
agile methodologies
machine learning
the development of Internet based applications
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.
