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MSc Big Data Technologies

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Degree
MSc
Code
UEL-MBDT
Delivery Mode
Fully Online
Credits
180
Duration
2 - 4 years

Course Summary

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.

 

Online delivery

Online delivery gives you the flexibility to plan around existing work commitments and progress in your career while you study. Complete and submit your coursework from the privacy and security of your own space.

Flexibility

Study at your own pace. Our flexible online courses allow you to study while arranging your daily tasks and career needs. Manage your time effectively by taking one module at a time. Focus on your learning and create your own study schedule.

Experienced Faculty

Learn from experienced academics who share innovative techniques, research, and knowledge on up-to-date topics. Be inspired, challenged, and encouraged by a team of professionals to reach your goals.

Virtual Classroom

Study online through our Virtual Learning Environment (VLE), study module material, participate in online discussions with faculty and students and access the online library 24/7 with its complement e-books and journals.

ENTRY REQUIREMENTS

The entry requirements for admission are:

Applications from non-standard applicants are welcome and will be considered individually.

* Entry requirements may vary depending on the programme of study.

WHAT YOU'LL STUDY

We consistently review and develop our courses and modules to ensure they are up-to-date with sector and industry graduate skills demands. Course structure, modules and options are subject to change.

  • Induction Module
  • Security Management
  • Big Data Analytics
  • Cloud Computing
  • Machine Learning on Big Data
  • Mental Wealth; Professional Life (Dissertation)
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