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

Digital Technologies for England

University of Suffolk
Qualification
Degree
Length
2 yrs
UK fees / yr
£9,535
Study
full-time
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 Technologies with a specialism in Data Analytics is a programme that prepares you for the data-driven economy, developing the technical skills and analytical mindset needed to work effectively with the large datasets that modern organisations generate and rely upon. Data analytics involves the collection, processing, visualisation, and interpretation of data to support decision-making across every kind of organisation, from businesses and public services to research institutions and non-profits. The specialism in data analytics sits within a broader digital technologies framework that includes programming, cyber security, and digital transformation.

At the University of Suffolk, this two-year, full-time Higher National Diploma at Suffolk New College covers essential units including professional practice, innovation and digital transformation, cyber security, programming, big data and visualisation, and database design. You will develop practical skills in data analytics, cyber defence, and programming while exploring the role of digital transformation in contemporary business. The programme places a strong emphasis on real-world applications, developing critical thinking, problem-solving, and communication skills alongside technical competence.

Continuous professional development is embedded in the programme, preparing you for a sector in which skills need to be maintained and updated throughout a career.

Graduates are well placed for roles in data analysis, business intelligence, digital transformation, and related technical functions across private and public sector organisations. The combination of data skills and broader digital competence is particularly valuable in an economy where organisations of every kind are investing in better use of data. The HND also provides a foundation for progression to a full bachelor's degree, enabling those who wish to develop their academic credentials further to do so.

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When you're ready, the full entry requirements and application are on University of Suffolk's own site.
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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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