Postgraduate - taught prospectus

Big Data and Business Intelligence, MSc

Study Big Data and Business Intelligence for the technical knowledge and skills you need to contribute to the development and design of big data systems.

Why study this at Greenwich?

  • You will gain practical skills and an in-depth understanding of big data and business intelligence.
  • You will be able to contribute to the design and development of big data systems as well as distributed/internet-enabled decision support application software systems.
  • Our modules take a software engineering approach to building applications, so you develop a view of integrated life-cycle software development.
  • Drawing on our research excellence in this area, this innovative course is designed to provide you with a competitive advantage in the jobs market.


Computing & Information Systems



  • 1 years full-time
  • 2 years part-time

Professional recognition

We are in the process of acquiring a professional accreditation from the British Computer Society (BCS), the chartered body responsible for establishing and maintaining standards in the profession. We aim to receive full CITP FL accreditation, which for graduates would lead to full exemption of the BCS Chartered IT Professional Further Learning (CITP FL) status.

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 is one of the first MSc courses in the UK to cover these leading-edge technologies. It provides you with the advanced knowledge and skills to contribute to the design and development of big data systems as well as distributed/internet-enabled decision support application software systems. You will be well-versed in the use of appropriate technologies, architectures and techniques (e.g. data analytics, machine learning, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, Python, R).

The modules on this course take a software engineering approach to building applications. They focus on modern software engineering methods, tools and techniques, so you develop an integrated life-cycle software development view.

Through our short course centre, you may have the opportunity to work towards the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate; Oracle Certified Associate (OCA).

What you will study


Course information is currently unavailable for this programme. Please contact for more information.

Come visit us

You can find out a lot about a university online, but to really get a feel for what it's like to live and study here you should come and visit. Come take a look at our historic campuses in London and Kent.

Can't make it?

We host events regularly, so there will be more opportunities to visit very soon.

Entry requirements

Applicants should have: 

  • good first degree in 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.

Fees and finance

Your time at university should be enjoyable, rewarding, and free of unnecessary stress. Planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Fees information International fees

Funding your study

There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.

Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management and financial hardship.

Financial support

Other costs

 If there any field trips, students may need to pay their own travel costs.

Additional information


Students are assessed through examinations, coursework and a project.


Graduates from this MSc Big Data and Business Intelligence course can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, and analysts.

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