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Big Data and Business Intelligence, MSc
University of Greenwich - Greenwich Campus London , London
  • Duration: 2 Semester
  • Degree Name: Big Data and Business Intelligence, MSc
  • Discipline Life Sciences
  • Program Level: Master's Degree
Available Intakes
Intake Status
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Special Admission Requirements
  • Min IELTS overall: 6.5 (Min Reading: 5.5 , Min Writing: 5.5 , Min Listening: 5.5 , Min Speaking: 5.5 )
Overview

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. This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer.

Financials
Description Sub Total
Avg Application Fee $0
Avg Cost of Tuition/Year $17275
Avg Yearly Cost of Living $12000
Estimated Other school expenses and fees $0
Estimated Total/Year $29275.00
Study and Work in Canada

Full-time undergraduate and post-graduate international students can work anywhere on or off campus without a work permit. The rules around the number of hours a student will be allowed to work may vary based on the country the student chooses to study in. International students are typically able to work up to 20 hours a week.

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