Technology, Data and Innovation
One of the key challenges we focus on at Aberdeen is how to design, build and maintain the physical and digital infrastructure that supports our everyday world.
At the heart of each of our programmes lies a passion for using creativity to design solutions to take on the challenge of transitioning to low-carbon technology, designing and building sustainable infrastructure and harnessing the benefits of machine learning and other emerging AI technologies to create a sustainable future for people and our planet.
Our programmes are designed not only to expand your knowledge but also to develop your practical skills and experience so that you achieve your career goals through industry placements as well as industry guest lectures, industry-based projects, site visits and other career and networking events.
We also seek to understand the social, legal and economic aspects of technology and the role that the built environment plays in social cohesion or our sense of community.
Employability
We design our programmes to not only expand your expert knowledge but also to allow you to develop the skills and experience you need to achieve your career goals.
We offer regular industry engagement opportunities throughout your degree, including guest lectures by industry experts, industry-based projects, site visits and other career and networking events.
Computing students can gain first-hand professional experience through specialised industry placements. The Aberdeen Software Factory is a student-run software house that enables students gain experience working on larger software projects for external clients.
Rankings
6th
in the UK for Physics
(Guardian University Guide 2024)
3rd
in Scotland for Sociology
(Complete University Guide 2024)
1st
in Scotland for General Engineering
(Complete University Guide 2024)
12th
in the UK for General Engineering
(Complete University Guide 2024)
Key Subject Areas:
Aron Molnar, Computing Science
“In one of my favourite courses, we had to come up with a research question, and then answer it, testing it from all possible angles. The whole course was a simulation of the entire academic research process. I loved the idea of my chosen project, where I investigated a unique phenomenon present in the hyperlinked web of Wikipedia, and then utilised it to create a novel metric for specific AI systems.”
UNDERGRADUATE GUIDE 2025