Course summary
Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology. This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems. We focus on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Python and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development. Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain. This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer. What you should know about this course
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
Modules
All degree courses are made up 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 module is assessed. The direct link to this course on our website, can be found at the bottom of this page.
Assessment method
On this course, students are assessed by coursework, examinations and a project. Some modules may also include 'practice' assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement
Entry requirements
An undergraduate (honours) degree at 2:2, or above, in Mathematics, Physics, Engineering, Information Systems or Multimedia or a relevant numerate subject that includes software development experience. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered.
English language requirements
We accept a wide range of English language qualifications. For our English entry requirements, please click on the link below.
https://www.gre.ac.uk/international/help-and-support/courses
Fees and funding
Tuition fees
| EU | £18150 | Whole course |
| England | £11000 | Whole course |
| Northern Ireland | £11000 | Whole course |
| Scotland | £11000 | Whole course |
| Wales | £11000 | Whole course |
| International | £18150 | Whole course |
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
These fees are currently set for 2024/25 entry. For more information, please visit: https://www.gre.ac.uk/finance/fees
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