Big Data Technologies - University of East London, MSc, online at Unicaf Scholarships

Big Data Technologies - University of East London, MSc, Unicaf Scholarships

Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
MSc	Online	-	-	-	-

About Big Data Technologies - University of East London, MSc - at Unicaf Scholarships

Delivered in partnership with the University of East London.

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.

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The experience: Online learning through Unicaf is made possible by an advanced learning management system, designed to provide an optimal learning experience for students.

Online Tutors: We do our best to give our students the greatest possible support with expert online tutors. All of our tutors are experts in their fields and have many years of experience at the highest standard. Your tutor will endeavour to respond to your queries as fast as possible, with helpful advice and tips on whatever part of the course you have a query about.

The online classroom: Students have regular contact and interaction with faculty and fellow students from around the world.

Entry requirements

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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Big Data Technologies - University of East London, MSc, Unicaf Scholarships

Study options for this course

About Big Data Technologies - University of East London, MSc - at Unicaf Scholarships

Entry requirements

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Postgraduate pathways and pre-masters at other institutions

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