Buckinghamshire New University

What you'll study

The curriculum covers the lifecycle of data work: data collection, storage, analysis and presentation, plus ethical considerations and storytelling with data. You will learn professional software and tools, database development technologies and elements of data visualisation and automation with AI. The course balances theory and practice with opportunities for project work and industry-facing scenarios. Assessments include coursework (written, practical, presentations, group work), some tests or exams, and a final year Project researching a substantive, career‑relevant problem.

• Foundation Year modules (sample): Introduction to Programming; Computing Essentials (data structures, search algorithms and Big O, computational thinking, relational databases and SQL, societal consequences of computing); Core Mathematics (discrete maths, algorithms, linear programming, game theory); Design Principles (human–computer interaction and user‑centred design); Professional Skills Review; Final Project (group project development and teamwork skills).
• Year 1 (sample): Programming Concepts (20 credits) covering variables, data types, conditionals, functions, data structures and object orientation alongside teamwork and presentation skills.

Entry requirements

A typical offer requires a UCAS tariff of 88–112 for the three‑year full‑time degree or 32–56 for the programme that includes a Foundation Year. UCAS points can come from A levels, T levels, BTEC or Access to HE in relevant subjects; a minimum of two full A‑levels (or equivalent) is required. Applications are considered individually; applicants without prior study or experience may be offered the four‑year route with a Foundation Year. For international English requirements and further detail consult the university's admissions pages.

Career prospects

Graduates are prepared for data‑oriented roles such as data analyst and other positions in tech and industry sectors that need database and analytical expertise. The course highlights employability, industry engagement and practical problem solving so students develop transferable skills valued by employers: critical thinking, adaptability, programming and data visualisation.

Scholarships & funding angle

The course page references clearing and direct application routes; specific tuition fees, scholarships and funding options are not listed here. Prospective students should check the university's fees and funding pages, explore government student finance, and contact admissions for information about bursaries, scholarships and clearing support.