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Industrial and scientific institutions gather information to comprehend their surroundings and assess the impacts of historical and upcoming occurrences. Computational statistics offers valuable perspectives on data-generating mechanisms, enabling the examination of event influences and forecasting of future scenarios.
This course equips students with practical skills and foundational knowledge to launch a career in statistical modeling and data analysis.
6 months
Applicants must have:
Successfully completed an undergraduate degree, or higher, in any discipline; OR
Have a minimum of five (5) years full-time equivalent professional work experience in related roles
Applicants seeking admission on the basis of work experience must support their application with a Statement of Service for all work experience listed on the application.
English Language Requirements:
IELTS: 6.5 overall score (min 6.0 in each subtest); TOEFL internet-based score of 82: Writing 21, Speaking 18, Reading 13, Listening 13; Pearson Test of English Academic (PTE): 58 overall; No communication skills less than 50.