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MSc Big Data Technologies - Offered by University of East London

Unicaf In partnership with British Universities, Global

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Next enrollment cycle

July 2022

See all cycles

First Year Course Fee

USD 8,718

Course Accredited By

  • 2 Years
  • Online
  • Postgraduate
  • Degree
  • Up to 75% scholarship
Graduates of the programme are expected to have a comprehensive and critical understanding of all concepts and activities for large-scale data analytics and to demonstrate expertise in Big Data Analytics and research applications, projects, and Machine Learning Techniques for extracting big insights and unique knowledge from Big Data stores.
  • The programme aims to develop a critical understanding of complex computing application areas.
  • Graduates are expected to be able to apply their skills in advanced topics, such as cloud computing and security aspects.

Enrollment Cycles

  • July 2022
  • August 2022
  • September 2022
  • October 2022
  • November 2022
  • December 2022
  • January 2023
  • February 2023
  • March 2023
  • April 2023
  • May 2023
  • June 2023
  • An accredited UK Honours degree with minimum 2.2 classification or international equivalent. Some professional qualifications may also be acceptable. Extensive professional experience may also be considered.
  • Official transcripts from all universities, colleges and other post-secondary educational institutions attended.
  • English Proficiency: Students satisfy the English proficiency requirements provided they present a GCSE score with a minimum grade of “C” or IELTS (Academic) with an overall score of at least 6.0 (and no individual component lower than 5.5) or equivalent qualification. Students who do not acquire the above-mentioned qualifications are required to take the online Academic English Placement Test. This is an IELTS-type test (Reading & Writing) where students need to score an overall 6.0 (with no individual component lower than 5.5).
  • Personal Statement (minimum 500 words) explaining how the programme of study will benefit the student’s career progression.
  • Up to date CV
  • Two references (academic or professional) listed on CV stating referee’s full name, contact details, and relationship to the applicant.
  • Applications from non-standard applicants are welcome and will be considered individually.
  •  Entry requirements may vary depending on the programme of study.

Induction Module

  • Security Management
  • Big Data Analytics
  • Cloud Computing
  • Machine Learning on Big Data
  • Mental Wealth; Professional Life (Dissertation)
  • Full fees 12635 GBP (without any scholarship)

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