Master of Science in Data Science and Big Data Analytics

Wrexham University - Wrexham Campus

UK,Wales

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12 Months

Duration

CAD 12,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, Wales

Type: University

Location Type: Semi-Urban

Founded: 2008

Total Students: 6,500 +

Campus Detail

Main Campus Address

Mold Rd, Wrexham LL11 2AW, United Kingdom

Master of Science in Data Science and Big Data Analytics

Program Overview

As data is being used increasingly to personalise, aggregate, and measure our everyday experiences, there is also a growing need for those who can develop such systems in a responsible and ethical manner. By studying this Master’s Programme, you will be perfectly positioned to meet this demand.

  • You will learn how to use various models, methods, tools and techniques to convert data into information and knowledge that can be understood by non-specialists, in order to make informed decisions for governments, companies, and other organisations-based on facts, statistical numbers and trends.
  • Your learning experience will be enhanced by developing your knowledge of interdisciplinary skills and statistics, software programming, and using modern data analysis and visualisation technologies.

Key course features

  • This course is designed as a conversion Masters which will provide you with the opportunity, regardless of your previous subject area, to pursue a career in Data Science.
  • It will equip you with the skills, knowledge, tools and technology to ensure a smooth transition into this specialist area.
  • Data Science is a platform with a complex blend of technology, algorithm development, and data interference. We have developed our course to ensure that you are equipped with cutting-edge knowledge, recognising the current and predicted future of the field.
  • We will transform your understanding of the subject, inspiring you to make informed judgements by critically evaluating security, legal, ethical and privacy issues, considering the environmental impact of current and emerging big data technologies and applications.
  • Our team are leading research-active professionals, on hand throughout the course to support your learning with their knowledge and expertise.