University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Psychology with Applied Computing

The University of Buckingham
Qualification
Degree
Length
2 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 25% of students don't make it past first year here - ask the uni what support they offer.
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Psychology with applied computing is a combination that addresses both the science of the mind and the technology increasingly used to extend, augment and investigate it. Psychology is the empirical study of human behaviour, cognition, emotion and mental health, drawing on experimental methods, statistical analysis and theoretical frameworks to understand how people think, feel and act. Applied computing brings the practical skills of software development, data analysis and system design, including the ability to build tools, process large datasets and create digital solutions to real problems.

Together the disciplines prepare you for a world in which technology and human behaviour are increasingly intertwined.

At the University of Buckingham this is a two-year programme, an accelerated degree that covers the equivalent content of a traditional three-year course through intensive year-round study. Teaching is delivered through a distinctive small-group tutorial model, giving you weekly direct contact with your module tutor in a setting of no more than seven students. This means you receive a genuinely personalised learning experience, develop strong working relationships with your tutors and peers, and build the communication and teamworking skills that are valued in professional environments.

The programme has an explicit focus on employability throughout.

Graduates with psychology and applied computing backgrounds are particularly well positioned for roles in human factors, user experience research, data analysis, health technology, educational technology and digital mental health. The combination is also relevant in market research, consultancy, the civil service, social research organisations and the growing range of roles that require both an understanding of human behaviour and the ability to work with data and digital systems. Many graduates go on to postgraduate study in psychology, computer science, human-computer interaction, data science or clinical psychology, where the dual foundation the degree provides opens a range of specialist paths.

Could you get in?
The grades students arrived with
<48 pts5%
64-79 pts15%
80-95 pts20%
96-111 pts15%
112-127 pts5%
144-159 pts15%
How they qualified
40% got in with A-levels. The rest came in a mix of ways:
A-levels40%
other higher education30%
Other10%
an Access course5%
another degree5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
75%
Continue past first year
78%
Student satisfaction
What graduates actually go on to do % of leavers
Caring personal services25%
Information Technology ProfessionalsHighly skilled75%
Therapy professionalsHighly skilled15%
Science, engineering and technology associate professionalsHighly skilled15%
Teaching and Childcare Support Occupation15%
Teaching ProfessionalsHighly skilled15%
Business, Research and Administrative ProfessionalsHighly skilled10%
Secretarial and related occupations10%
What students say National Student Survey
78%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback77%
Academic support83%
Well organised81%
Learning resources67%
Student community80%
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on The University of Buckingham's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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