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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. 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.
  • The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.

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


How to apply

International applicants

Applicants should have: A good relevant first degree in computing, computing science (or a numerate subject) OR substantial commercial/industrial experience. Applicants must also have software development experience using modern programming languages. For applicants without English as their first language, an IELTS score of 6.0 with at least 5.5 in each component (or equivalent) will also be required.

Entry requirements

You should have a good honours degree (2:2 or above) in a computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience. OR Substantial commercial/industrial experience including software development using modern programming languages and design. For more information, contact [email protected] or 020 8331 9000.


Fees and funding

Tuition fees

England £9750 Year 1
Northern Ireland £9750 Year 1
Scotland £9750 Year 1
Wales £9750 Year 1
EU £15100 Year 1
International £15100 Year 1

Additional fee information

These fees were set for the 2022/23 intake. Therefore, this may change for the 2023/24 academic year. Please follow this link for more information https://www.gre.ac.uk/finance
Big Data and Business Intelligence at University of Greenwich - UCAS