Digital Marketing and Mathematics
Digital marketing and mathematics is a combination that reflects the increasingly data-driven character of modern marketing. Digital marketing encompasses the full range of online channels, from search engine optimisation and paid advertising to social media, content strategy and email campaigns, and it relies heavily on the analysis of data to understand consumer behaviour and optimise campaign performance. Mathematics provides the rigorous quantitative grounding to make sense of that data, to build predictive models, and to reason clearly about uncertainty, probability and measurement.
Together they produce graduates who can think analytically about marketing in ways that many practitioners cannot.
At Liverpool Hope University you will study this three-year full-time programme, which includes a sandwich placement year, a year abroad and embedded work placement opportunities. The placement year connects your studies to the marketing industry in a sustained way, while the year abroad broadens your perspective on how digital marketing operates across different cultures and regulatory environments. You will study consumer behaviour, digital analytics, campaign planning, content strategy and marketing ethics alongside pure and applied mathematics, statistics and data analysis.
The combination asks you to bring quantitative tools to bear on marketing questions and to develop the facility with data that employers in digital marketing increasingly expect. The typical entry tariff is around 120 UCAS points.
Graduates are well placed in roles at digital marketing agencies, in-house marketing teams, market research organisations and data analytics functions within larger businesses. Roles in performance marketing, SEO strategy, data analysis, campaign management and marketing technology are all accessible paths. The mathematics component also opens doors in financial services, actuarial work and data science more broadly, giving this combination unusual career range.
Postgraduate study in marketing, data science, business analytics or applied mathematics is a strong option for those who wish to deepen specialist expertise.