Course Offerings

Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.

This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

This course introduces the core principles of modern databases, with emphasis on relational design, implementation, and querying using SQL and alternative approaches. It covers data modelling, indexing, optimization, constraints, and data integrity, while also exploring emerging database trends. Practical exercises provide hands-on experience in developing and using databases for real-world applications.

This course, together with the “Advanced Data Protection” course, guides students through the preparation of the Certified Information Privacy Manager (CIPM) certification offered by the International Association of Privacy Professionals (IAPP). At the end of the course, students will demonstrate practical knowledge of privacy governance methodologies and processes, privacy laws and regulations, and the protection of personal information.