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MSc Data Analytics (Distance learning)

  • DeadlineStudy Details:

    MSc 2 years part-time distance learning

Course Description

Data plays a major role in modern organisations, especially in research and developing business strategies.

To stay competitive, employers need to identify trends, insights and other valuable information hidden inside complicated data sets. As a result of this, professionals with the ability to translate such sets and enable data-driven business solutions are in high demand.

If you’re interested in building a career as a data professional, this 100% postgraduate course will help you learn valuable data analysis skills without needing to take time away from your work or other commitments.

Entry Requirements

Qualifications or experience

  • A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.

English language requirements

  • English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

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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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