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.
A good first degree 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.
An English language level equivalent to IELTS 6.5 or above, with a minimum of 5.5 in each component.
Computing
Greenwich
Postgraduate
1
September; January
5.5
£9,750 / £14,500,
Canterbury, England
6.0
Postgraduate
Home full-time/part-time: TBC, EU/International full-time: £18000, EU/International part-time: £9000
Auckland
6.0
Postgraduate
$ 21276
Multiple campuses
7.0
Postgraduate
18000