MSc Data Science*
Designed to develop knowledge and research skills in Data Science, an understanding of the ecology within which a Data Scientist operates and professional skills in Data Science techniques, the programme also fosters
reflective and analytic approaches in work-based practice and research.
Graduates are expected to be able to analyse and critically evaluate projects and research outputs in Data Science, and to have a critical understanding of the data value chain in professional settings.
|Course Code||Course Title||Credits|
Postgraduate Certificate Level
|UEL-DS-7001||Mental Wealth: Professional Life (Data Ecology)||30.00|
|UEL-DS-7006||Quantitative Data Analysis||30.00|
Postgraduate Diploma Level
|UEL-DS-7002||Spatial Data Analysis||30.00|
|UEL-DS-7003||Advanced Decision Making: Predictive Analytics & Machine Learning||30.00|
Postgraduate Award Level
|UEL-DS-7010||Data Science Dissertation||60.00|
The entry requirements for admission are:
An accredited UK Honours degree with minimum 2.2 classification or international equivalent in a Science or Engineering subject. Some professional qualifications in a Science or Engineering 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.