Master of Science in Big Data Technologies

at University of Westminster - Cavendish Campus United Kingdom

Overview

Recent technological advances decreasing hardware costs and the ‘Internet of things’ has led to a rapid explosion in the amount of data generated in a variety of domains, including data-driven science, telecommunications, social media, large-scale e-commerce, medical records and e-health. Big data refers to the ability of exploiting these massive amounts of extremely heterogeneous in structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry used their big data to extract a better understanding of customers’ needs and behaviour, to develop targeted new products and to cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of a big data projects and a shortage of people with the required skills.

This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with the range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

12

Duration

University of Westminster - Cavendish Campus

Location

Master of Science in Big Data Technologies Assistant Fee

$14000

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science in Big Data Technologies Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.
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Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

12

Duration

Study Visa

English Test Requirement

6.5

Minimum Overall Score

6.0

Minimum Writing

88.0

Minimum Overall Score

59.0

Minimum Overall Score

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