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MSc Data Analytics (Distance learning)

  • DeadlineStudy Details:

    MSc 2 years part-time distance learning

Course Description

On this online data analytics course, you’ll be taught critical thinking and analysis skills by academics conducting research into artificial intelligence, machine learning, and other areas relevant to data analytics.

The programme is designed to prepare you for the real-world challenges of working with data. Your studies will help you to learn how to translate theory into practice – while also providing you with invaluable hands-on experience.

You’ll sharpen your technical and technological abilities by analysing real data gathered from our cosmology, cybersecurity and health informatics research. You can also look forward to mastering useful data mining tools and data visualisation software.

Entry Requirements

Qualifications or experience

  • A first or second class honours degree in a relevant subject, or international equivalent, or relevant employment experience

English language requirements

  • English language proficiency at IELTS level 6.0 with no component score below 6.0 (or other acceptable proof), if English is not your first language

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Fees

For fees and funding options please visit website to find out more

Programme Funding

If you meet our criteria, you could get a £3000 tuition fees discount – visit website for details

Student Destinations

Our online data analytics course is structured to give you the tools required to advance as a professional in this field.

In addition to developing your technical and technological expertise, the opportunities you’ll receive to analyse real data, self research, and present projects will aid you in developing the confidence and thoughtfulness needed to excel.

These skills, coupled with the support you can receive from our exceptional Careers and Employability Service, will help position you as a valuable hire to employers across the world.

Module Details

  • Applied Intelligent Data and Text Analytics (30 credits)
  • Big Data Applications (30 credits)
  • Business Intelligence (30 credits)
  • Data Analytics and Management (30 credits)
  • Master’s Engineering or Study Project (60 credits)

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