• The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks. 

Class schedule: Weekly sessions from 5:10 pm to 7 pm on Tuesdays between January 12 and April 20, 2027.   

Delivery mode: Online synchronous 

Estimated enrolment: 35

Estimated TA support: None 

Qualifications:

• PhD or Masters level education in Measurement and Evaluation, Statistics or related field;
• Demonstrated experience conducting research projects requiring quantitative, qualitative and mixed research methodology;
• Experience in design and implementation of data collection instruments and effective methods for communicating research results;
• Experience teaching graduate-level courses, preferably in research methodology and/or statistics related field;
• Demonstrated ability to relate to mature students and facilitate group learning processes;
• Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing).

  Duties:

• Course co-instructor for a professional graduate course using competency-based learning and assessment methods. 
• Responsible for course design and assessment of student outcomes. Must be accessible to students outside of classroom hours.