admin Programme Overview
This programme develops the ability to turn organisational data into useful insight for operational and strategic decision-making. The curriculum examines data management, statistics, visualisation, modelling and business performance, linking conceptual study with current questions in evidence-led organisational improvement.
You will work with business cases and data sets to frame questions, interpret findings and present recommendations for non-specialist audiences. You will work through guided activities, applied scenarios and peer discussion, developing a disciplined approach to evidence, communication and independent work.
A focus on responsible analytics helps you consider data quality, fairness, privacy and the limits of quantitative evidence in managerial decisions. Learning is organised for online participation, with clear milestones, tutor feedback and space to connect ideas across the programme. Throughout, opportunities to compare perspectives and receive formative feedback help consolidate your understanding, refine your judgement and prepare you to engage confidently with unfamiliar professional challenges. The final stage invites you to bring your learning together in a sustained piece of work.
What You’ll Learn
- Frame business questions that can be investigated with data
- Apply statistical and analytical methods appropriately
- Create clear visualisations and dashboards
- Interpret patterns, uncertainty and evidence quality
- Evaluate data ethics and governance issues
- Communicate analytical insight for decision-makers
Programme Structure
Level 4
- Academic and Quantitative Skills
- Introduction to Business Analytics
- Business Management Principles
- Data and Information Fundamentals
- Spreadsheet Modelling
Level 5
- Statistics for Business Decisions
- Database Concepts
- Data Visualisation
- Operational Analytics
- Business Research Methods
Level 6
- Predictive Analytics for Business
- Business Intelligence and Dashboards
- Data Governance and Ethics
- Strategic Performance Analytics
- Business Analytics Project
Entry Requirements
Applicants are normally expected to have completed secondary education or an equivalent qualification. A basic grounding in mathematics or computing is helpful for this programme. Relevant work experience and prior learning may also be considered.
Applicants should be able to demonstrate English-language proficiency appropriate for degree-level study. Equivalent evidence of English proficiency may be considered as part of the application.
Assessment
Assessment may include technical exercises, practical coursework, reports, designs, demonstrations, portfolio work, presentations and a substantial final project. Examination-style assessments may be used where they provide a suitable way to assess underlying concepts and analytical reasoning.
Career Opportunities
- Junior Business Analyst
- Data Analyst
- Reporting Analyst
- Operations Analyst
- Business Intelligence Assistant
- Customer Insight Analyst
Further Study
Graduates may progress to master’s study in business analytics, data science, information systems, digital transformation or management, depending on their chosen specialism.