Course summary
Subject to validation Our MSc in Business Analytics is designed to equip ambitious professionals with the skills and knowledge to thrive in today's data-centric business environment. Our comprehensive programme meets the growing demand for analytical expertise across diverse industries, offering students a competitive advantage in their careers. In an era where data reigns supreme, extracting valuable insights from vast information is paramount. This programme focuses on the intersection of business knowledge, statistical analysis, and cutting-edge technology, preparing students to navigate this data-driven landscape effectively. Our modules combine core business management principles with the latest analytical techniques. Students will explore subjects such as data mining, predictive modelling, machine learning, data visualisation, and optimisation, gaining the skills to derive actionable insights and make informed decisions. Led by accomplished academics and industry experts, our programme emphasises practical learning. Through hands-on projects, real-world case studies, and internships with leading organisations, students have ample opportunities to apply their analytical skills to solve complex business challenges. Our strong industry connections also provide valuable mentorship, internships, and potential job prospects. MSc Business Analytics graduates will possess a deep understanding of leveraging data for strategic decision-making, operational optimisation, and gaining a competitive edge. Equipped with technical expertise, business acumen, and analytical thinking, our alumni excel in roles such as data analysts, business intelligence managers, consultants, and strategic planners. What you should know about this course
- Top 10 Universities in London in Research Quality (Complete University Guide League Tables 2023)
- Get taught by experts with vast experience in business network analysis, business management and strategy.
- You’ll develop the essential critical thinking skills for professionals in the field.
- Critically evaluate the relevance and value of using data in decision-making processes.
- Look at the ethical implications and environmental impact of data collection, processing, and usage.
Modules
All degree courses are made of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures. Module content, and how each is module is assessed. The direct link to this course on our website, can be found at the bottom of this page.
Entry requirements
An undergraduate (honours) degree at 2:2, or above, in a relevant subject. Applicants without a degree that have professional qualifications or relevant professional experience may be considered.
English language requirements
For more information about our English Language Requirements, please click on the following link:
https://www.gre.ac.uk/international/help-and-support/courses
Fees and funding
Tuition fees
| England | £11000 | Year 1 |
| Northern Ireland | £11000 | Year 1 |
| Scotland | £11000 | Year 1 |
| Wales | £11000 | Year 1 |
| EU | £17450 | Year 1 |
| International | £17450 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
We understand that the transition to University for Undergraduate students can be daunting and confusing when it comes to finances. The University of Greenwich has a wide range of bursaries, scholarships and other financial support measures to support students that require it most. More information can be found on our website at www.greenwich.ac.uk/finance/funding-your-studies
Provider information
University of Greenwich
Old Royal Naval College
Park Row
Greenwich
SE10 9LS