
Master of Science - Big Data and Business Intelligence
Old Royal Naval College, Park Row, London, United Kingdom
94218
Last updated: 16/09/2024






About Master of Science - Big Data and Business Intelligence
Big Data and Business Intelligence, MSc is an innovative master's course providing students with skills to contribute to the design and development of big data systems as well as distributed or internet-enabled decision support application software systems. Drawing on the department's research excellence in this area, this course is designed to give students a competitive advantage in this fast-growing business domain.
The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits the computing degree programmes. It focuses on modern engineering methods, tools and techniques, including data analytics, machine learning, business intelligence, data mining. Students will also have the opportunity to learn programming languages such as Python and R. The department's software engineering approach to building applications helps students to develop a life-cycle view of software development.
In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. Students will be able to discuss and develop their understanding of topics covered in lectures in smaller group sessions, and put their learning into practice in the University's specialist computer laboratories. Outside of timetabled sessions, they'll need to dedicate time to self-study to prepare for coursework, presentations and exams. Greenwich's Stockwell Street library and online resources will support further reading and research. Learners can also join a range of student societies, including our Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.
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.
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