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

Digital Marketing and Mathematics

Liverpool Hope University · Liverpool
Qualification
Degree
Length
4 yrs
UK fees / yr
£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 · 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 marketing has become one of the most important functions in modern business, yet it sits at an unusual crossroads. Success in this field depends not just on creativity and commercial awareness but increasingly on a facility with data, on understanding what numbers reveal about audience behaviour, campaign performance, and the return on investment that businesses need. This programme at Liverpool Hope University pairs digital marketing with mathematics, giving you an unusually rigorous analytical foundation for a discipline that is often approached from a purely creative or business angle.

You will study the principles and practice of digital marketing, covering content strategy, search engine optimisation, social media, paid advertising, analytics, and the way consumer behaviour shapes platform dynamics. Alongside this, mathematics equips you to think with precision about the quantitative side of marketing, from statistical modelling and data interpretation to the logical structures underlying algorithmic tools. The two subjects reinforce each other: marketing gives mathematical reasoning a practical context, and mathematics gives marketing claims a discipline that prevents wishful thinking from masquerading as analysis.

The programme includes a sandwich year in industry and a work placement, giving you structured professional experience, as well as a year abroad. All of this sits within a four-year structure that builds depth and maturity before you graduate.

The combination of marketing fluency and mathematical skill is genuinely rare and genuinely sought after. Graduates are well placed for careers in digital marketing agencies, in-house marketing teams, data analytics, market research, e-commerce, and the technology companies that build the tools marketers use. Many also find routes into roles that sit between marketing and data science.

Further study at postgraduate level, whether in marketing, data analytics, or a related field, is also a natural progression.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts5%
64-79 pts10%
80-95 pts10%
96-111 pts5%
112-127 pts30%
128-143 pts5%
144-159 pts5%
176-191 pts5%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
no formal qualifications5%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
75%
Continue past first year
79%
Student satisfaction
What graduates earn over time
£21,000
3 years on
£26,000
5 years on
What graduates actually go on to do % of leavers
Elementary occupations25%
Business and public service associate professionalsHighly skilled40%
Administrative occupations10%
Business, Research and Administrative ProfessionalsHighly skilled10%
Managers, directors and senior officialsHighly skilled5%
Secretarial and related occupations5%
Artistic, literary and media occupationsHighly skilled5%
What students say National Student Survey
79%
of students are satisfied with the course overall
Teaching78%
Assessment & feedback72%
Academic support65%
Well organised84%
Learning resources78%
Student community86%
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 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.

© 2026 Careermash. A concept for secondary schools.