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MSc Big Data Analytics

  • DeadlineStudy Details:

    MSc Full-time: 1 year, Part-time: 2 years

Course Description

Our MSc Big Data Analytics paves the way for you to pursue a career applying leading-edge software and analytics technology or conducting research in this vitally important field.

Why study this course?

Every day 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, skills in identifying and obtaining intelligence from the precious commodity of big data are in demand across many sectors. On this course, you will:

  • Gain the technical expertise and industrial experience you need to progress your career or launch an enterprise in big data analytics
  • Develop high-level skills in business intelligence, data analytics and database technology
  • Harness the full power of SAS software, thanks to our partnership with the global leader in business analytics services
  • Address real-world industry-based problems and conduct a major research project on a theme of your choice
  • Build broader skills in communication, teamwork and management to enhance your career prospects

The course has been designed both for graduates from STEM (Science, Technology, Engineering and Mathematics) degrees, as well as subject areas where statistical analysis is a core subject, and for current professionals in Analytics and Data Science who wish to extend their knowledge and expertise of this field.

Whether you want to step up the career ladder, change paths or pursue your passion for a subject you love, you can transform your world with postgraduate study at the University of Derby.

Located in the heart of England, Derby has great transport links with the rest of the UK. This central position means that the city has a long-standing reputation for innovation and industry. We have strong connections with a range of regional employers to support your studies through applied learning, guest lectures and other opportunities.

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Fees

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

Module Details

Studying at Masters Level and Research Methods, Statistical Techniques, Processing Big Data, Business Analytics, Analytics: Ethics, Trust and Governance, Information Visualisation (optional), Independent Scholarship.

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