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

Computer Science and History

Liverpool Hope University · Liverpool
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 26% of students don't make it past first year here - ask the uni what support they offer.
Robin · 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

Computer science and history is a combination that might appear unusual but reflects an important truth: computing shapes history in the present, and historical thinking can illuminate how technology and society interact over time. Computer science provides the technical and analytical foundations of the digital world, encompassing programming, algorithms, data structures, networks, artificial intelligence, and the systems through which information is processed and communicated. History develops the ability to read evidence carefully, understand change over time, and think about causation, contingency, and consequence.

The skills developed in each discipline are more complementary than they might first appear.

At Liverpool Hope University, this three-year full-time programme covers a wide range of topics in computer science, including networks, robotics, mobile and embedded computing, and cutting-edge technologies such as artificial intelligence, virtual reality, and augmented reality, alongside engagement with historical periods, themes, and methods. The programme includes a sandwich placement year, a year abroad, and work placement opportunities, giving you professional and international experience alongside the core academic content. The placement year provides direct experience in a computing or related professional environment, while the year abroad broadens your perspective.

You will develop programming skills, computational thinking, analytical research, historical reasoning, and clear written communication across both disciplines.

Graduates from computer science and history programmes enter a wide range of careers. The computer science component opens doors in software development, data analysis, IT management, cybersecurity, and technology consulting. The history component adds strong communication, research, and critical thinking skills that are valued by many employers.

Some graduates combine both, working in areas such as digital humanities, heritage technology, or technology policy. Postgraduate study in computer science, history, or digital humanities is a natural continuation.

Could you get in?
The grades students arrived with
48-63 pts15%
64-79 pts15%
80-95 pts15%
96-111 pts20%
112-127 pts15%
128-143 pts5%
160-175 pts5%
How they qualified
84% got in with A-levels. The rest came in a mix of ways:
A-levels84%
no formal qualifications6%
other higher education5%
an Access course3%
the IB2%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
74%
Continue past first year
83%
Student satisfaction
What graduates earn over time
£20,500
3 years on
£25,000
5 years on
What graduates actually go on to do % of leavers
Teaching ProfessionalsHighly skilled25%
Information Technology ProfessionalsHighly skilled40%
Administrative occupations30%
Sales occupations15%
Elementary occupations20%
Science, engineering and technology associate professionalsHighly skilled10%
Process, plant and machine operatives15%
Welfare and housing associate professionalsHighly skilled5%
What students say National Student Survey
83%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback80%
Academic support81%
Well organised79%
Learning resources76%
Student community76%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Liverpool Hope University's own site.
Apply on uni site
Careermash · 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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