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Numerical and data proficiency is essential in today's workforce. Across business, science, entertainment, and even non-profit organizations, data-driven approaches are growing in importance. The Data Analytics program equips students to enhance organizational value by deriving insights from both structured and unstructured data. With industries increasingly adopting big data solutions, expertise in data science, statistical analysis, programming, predictive modeling, and data extraction is rising in demand. Our curriculum blends mathematical theory, statistical methods, and computational training—featuring extensive practical experience with R, Python, and SQL—ensuring graduates master both fundamental principles and their real-world application, along with the ability to effectively present findings in contemporary business environments.
Applicants must have a completion of Official secondary school transcript.
English language requirements
TOEFL: 233 computer-based, 577 paper-based or 90 Internet-based (score of 100 or better encouraged). We also require a minimum score of 20 on each of the TOEFL subsections. IELTS: 7, with a minimum score of 7 on each of the IELTS subsections.