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.
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.
Big Data Analytics
Machine Learning on Big Data
Mental Wealth; Professional Life (Dissertation)
Full fees 12635 GBP (without any scholarship)
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