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University of Greenwich

London, England, United Kingdom
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Big Data and Business Intelligence at University of Greenwich at Main

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.

Level Masters
Discipline Business & Management
Duration 12 months
Intakes Jan, Sep
Application Fees GBP 0
Tuition Fees GBP 17275
Campus Main
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Admission Requirements
Language proficiency (minimum)
IELTS 6.5
TOEFL 87
PTE 76
Duolingo Not Accepted
Exam proficiency (minimum)
SAT Not Required / Waiver
ACT Not Required / Waiver
GRE Not Required / Waiver
GMAT Not Required / Waiver
Requirements

Minimum GPA - 60%

Rankings
QS Ranking --
Times Higher Education --
ARWU 876
Webometrics --
QS Ranking

QS Quacquarelli Symonds is the world’s leading provider of services, analytics, and insight to the global higher education sector, whose mission is to enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility, and career development.

THE Ranking

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004. We create university rankings to assess university performance on the global stage and to provide a resource for readers to understand the different missions and successes of higher education institutions.

Shanghai Ranking

The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class Universities (CWCU), Graduate School of Education (formerly the Institute of Higher Education) of Shanghai Jiao Tong University, China, and updated on an annual basis

Webometrics Ranking

The "Webometrics Ranking of World Universities" is an initiative of the Cybermetrics Lab, a research group belonging to the Consejo Superior de Investigaciones Científicas (CSIC), the largest public research body in Spain. CSIC is among the first basic research organizations in Europe. The CSIC consisted in 2006 of 126 centers and institutes distributed throughout Spain.

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