Builds data models to represent data graphically, to communicate complex data and patterns clearly and concisely. Using a tool like Power BI, students will build models with multiple tables by linking them. They will also master various data visualization techniques, including charts, graphics, maps, infographics, and dashboards. Finally, they will bring together the models and design methods to organize data into an effective visual presentation.

An introduction to basic programming skills in a tool such as Visual Basic for Applications (VBA), and a survey of various statistical and analytical methods and techniques. Students will learn how to implement macros, selection, iteration, subroutines, functions, events, and dialogues in VBA. Students will implement statistical procedures including t-tests, analysis of variance, correlation, and regression to reach data-based decisions about business scenarios or scientific experiments.

Introduces basic concepts of data analytics, focusing on the practical knowledge and skills of digital analytics, with specific tools like Excel and SQL. Students will learn how to collect and clean data sets, how to analyze and visualize them, how to interpret them, and how to make decisions based on their analyses. Hands-on practice with digital analytics on real-world data will equip students to use their digital skills in political polling, psychological diagnoses, urban planning, and many other applications.

Students are required to complete a minimum of 600 hours of approved Advanced Practicum clinical work, 240 hours of which are in direct service with clients. This provides students with opportunities to refine basic assessment and counselling skills as well as develop specialized areas of interest. The Advanced Practicum placement is regarded as a summative clinical experience leading to the master's degree in Counselling Psychology.

Students are required to complete a minimum of 600 hours of approved Advanced Practicum clinical work, 240 hours of which are in direct service with clients. This provides students with opportunities to refine basic assessment and counselling skills as well as develop specialized areas of interest. The Advanced Practicum placement is regarded as a summative clinical experience leading to the master's degree in Counselling Psychology.

Students are required to complete a minimum of 600 hours of approved Advanced Practicum clinical work, 240 hours of which are in direct service with clients. This provides students with opportunities to refine basic assessment and counselling skills as well as develop specialized areas of interest. The Advanced Practicum placement is regarded as a summative clinical experience leading to the master's degree in Counselling Psychology.

An introduction to principles of pharmacology and the use of pharmacological agents for the treatment of psychological and neuropsychiatric conditions. Reviews basic physiological and biological aspects of psychopathology. The course does not prepare a student for the practice of pharmacology. However, it does enhance the student's ability to communicate more effectively with physicians and assist them in participating in multidisciplinary and interdisciplinary settings.

Exploration of topics such as the significance of culture, migration, social class, race, language, and ethnicity for human health and well-being. This course builds on multicultural counselling and diversity awareness principles infused throughout the master’s program. Both theory and interventions for addressing bicultural identity development, advocacy, acculturation stress, and barriers to help-seeking and counselling effectiveness. Critical appropriation of professional literature, competencies models, and intersections with other aspects of diversity are emphasized.

An in-depth examination of special topics or issues in counselling psychology.

A study of the fundamental principles of mathematical statistics. Topics include probability distributions and densities, expectation and moment-generating functions, functions of random variable, sampling distributions, estimation, hypothesis testing, regression and correlation, analysis of variance, nonparametric tests.