University of Greenwich - Big Data and Business Intelligence MSc

University of Greenwich

Big Data and Business Intelligence MSc

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.

  • 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.

Career Prospects

What sort of careers do graduates pursue?

Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of big data systems development.

Do you provide employability services?

Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.

The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.

Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.


Course Details

Full Time Year 1

Compulsory modules.
MSc Project (60 credits)
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students

Optional modules
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)

Optional modules
Systems Modelling (15 credits)
Data Visualisation (15 credits)

Part Time Year 1

Compulsory modules.
Big Data (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students

Part Time Year 2

Compulsory modules.
MSc Project (60 credits)
Advanced Database Technologies (15 credits)
Graph and Modern Databases (15 credits)

Optional modules
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)

Optional modules
Systems Modelling (15 credits)
Data Visualisation (15 credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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