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Big Data and Business Intelligence at University of Greenwich - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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

Big Data and Business Intelligence at University of Greenwich - UCAS