Postgraduate - taught prospectus

Big Data and Business Intelligence, MSc

Study Big Data and Business Intelligence and gain a deeper knowledge that will allow you contribute to the development and design of big data systems

Department

Computing & Information Systems

Location

Attendance

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

Professional recognition

This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). For a full Chartered status there are additional requirements, including work experience. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. This is one of the first MSc programmes in the UK covering these leading-edge technologies. The programme provides students with the deeper knowledge, advanced skills and understanding that will allow them to contribute to the development and design of big data systems as well as distributed/internet-enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data analytics, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, etc.).

Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet. The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.

Through our short course centre opportunity may also be provided to study for the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate; Oracle Certified Associate (OCA).

What you will study

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Course information is currently unavailable for this programme. Please contact course-info@gre.ac.uk for more information.

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Entry requirements

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.

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

Additional information

Assessment

Students are assessed through examinations, coursework and a project.

Careers

Graduates from this programme can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, analysts.

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