The MSc Business Analytics at the University of Greenwich is designed for students who want to understand how data shapes modern business decisions. It’s ideal if you’re interested in turning raw data into meaningful insights and building a career where analytical thinking, technology, and business strategy come together.
Curriculum Structure
Year 1 (Full-time programme)
From the start, you’ll develop a strong grounding in both business and analytics. Modules such as Foundations of Scholarship for Business Analysts and Fundamentals of Business help you understand how organisations operate and how analytical thinking supports decision-making. You’ll then move into more technical areas with Data Mining for Business and Big Data Analysis and Visualisation, learning how to explore large datasets and present insights clearly and effectively.
As the programme progresses, you’ll strengthen your practical skills through Programming Fundamentals for Business Analytics and Machine Learning, giving you hands-on experience with the tools and techniques used by analysts in real organisations. The course finishes with a Business Analytics Project, where you apply your knowledge to a real-world business problem and demonstrate your ability to deliver data-driven solutions.
Focus Areas (in a string):
Business analytics, data mining, big data analysis, data visualisation, programming for analytics, machine learning, business decision-making.
Learning Outcomes (in a string):
Ability to analyse and interpret complex data, apply analytical and programming tools to business problems, generate actionable insights, and communicate findings clearly to business stakeholders.
Professional Alignment (accreditation):
The programme is built to reflect current industry needs, preparing graduates for analytics-focused roles by combining practical technical skills with strong business understanding and professional project experience.
Reputation (employability rankings):
The University of Greenwich has been awarded Gold in the UK Teaching Excellence Framework (TEF), highlighting the quality of teaching and the strong outcomes students achieve after graduation.


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