University of East London

MSc Big Data Technologies

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.

 

Pathway

Course Code Course Title Credits
Foundation Courses
UEL-IND-M-100 Induction Module 0.00
Postgraduate Certificate Level
UEL-CN-7014 Security Management 30.00
UEL-CN-7031 Big Data Analytics 30.00
Postgraduate Diploma Level
UEL-CN-7026 Cloud Computing 30.00
UEL-CN-7030 Machine Learning on Big Data 30.00
Postgraduate Award Level
UEL-CN-7000 Mental Wealth; Professional Life (Dissertation) 60.00

Entry Requirements

The entry requirements for admission are:

  • An accredited UK Honors Degree with a minimum of 2.2 standing in Computer Science or clearly related subject OR recognised international equivalent qualification (depending on country and level). Some professional qualifications in Computer Science or clearly related subjects at the appropriate level 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.

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