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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Markeaton Street Campus

  • Study mode

    Full time

  • Start date

    SEP-22, JAN-23

  • Duration

    1 year

Course summary

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.

Course description

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.

How you will learn

You will learn through lectures, tutorials, laboratories, individual work, seminars and presentations. Your learning will be supported by using an Internet-based repository which will hold items such as tutorial notes, supplementary reading materials and hints and tips regarding assignments.

Assessment will be provided across all modules to enable feedback at each stage and will include coursework, written exams, research projects and a dissertation/thesis.

Careers

As vast amounts of data continue to be generated in line with our growing use of IT products and services, exciting new career opportunities are emerging for big data specialists.

With this MSc on your CV, you will open doors to a future in many areas of computing and information technology, particularly in the areas of data analytics, business intelligence and information management, visualisation and assurance, as well as people analytics in HR.

To help you make the most of all these options, you will be well supported by the University’s careers service, who give advice on job application techniques, and by our academic staff who can provide guidance on relevant employment opportunities.

The course is made up of three stages – Postgraduate Certificate, Postgraduate Diploma and MSc.

Tuition fees

Students living in United States
(international fees)

£ 14,700per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Derby

  • University League Table

    91st

  • Campus address

    University of Derby, Kedleston Road, Derby, Derby, DE22 1GB, England

The award-winning international team offers guidance from initial enquiry to graduation and beyond.
There are a range of scholarships and discounts available to international students.
The University of Derby has around 1,700 students from 100 countries, studying at both undergraduate and postgraduate level.

Subject rankings

  • Subject ranking

    9th out of 27 5

    79th out of 114 7

  • Entry standards

    / Max 151
    136 86%

    6th

  • Graduate prospects

    / Max 100
    68.0 68%

    11th

    2
  • Student satisfaction

    / Max 5
    3.87 77%

    9th

    7
  • Entry standards

    / Max 236
    116 49%

    86th

    1
  • Graduate prospects

    / Max 100
    75.0 75%

    69th

    20
  • Student satisfaction

    / Max 5
    3.76 75%

    60th

    8

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