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

Digital Media & Information Studies/Mathematics

University of Glasgow Β· Glasgow
Qualification
Degree
Length
-
UK fees / yr
Β£9,535
Study
part-time
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

Digital media and information studies examines how digital technologies shape the creation, distribution, and consumption of information and culture. It is a field that sits at the junction of the humanities, social sciences, and technology, asking questions about how digital systems work, how they affect individual and collective life, and what values and assumptions are built into them. Studied alongside mathematics, it gains a quantitative rigour that makes it possible to address those questions with precision as well as critical depth.

At Glasgow this part-time programme pairs digital media and information studies with mathematics, a combination that develops both humanistic and analytical capacities. The digital media and information studies component, as the university describes it, brings a human perspective to the issues of the digital age, exploring creation, use, and impact across the arts, humanities, and society. Mathematics develops your capacity for logical reasoning, abstract thought, and quantitative analysis.

A year abroad is available, offering you the opportunity to study these subjects in a different academic context. The programme's part-time structure gives you flexibility in how you manage your time across the years.

Graduates from this kind of programme are well suited to careers that require both analytical capability and an understanding of how digital information and media systems function in society. Roles in data analysis, information management, technology policy, digital communications, journalism, and research are common destinations. The mathematical component is particularly valued by employers in technology, finance, and the public sector who want graduates who can think quantitatively as well as critically.

Postgraduate study in data science, information studies, digital humanities, or mathematics is a natural continuation for those who wish to specialise.

In students' own words
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Exceeded expectations
Coming here has changed how I think. The best part: small-group tutorials really push your thinking. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good transport links make it easy to visit other U…
Third year Β· Full-time
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A great decision
This is the perfect place to study this subject. The best part: the studio culture is incredible β€” you learn as much from your peers as your tutors. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” th…
Postgraduate Β· Full-time
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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 University of Glasgow'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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