Sessional Lecturers, COMM 129 and COMM 104, Department of Finance & Management (Prince Albert)
About The Position
The Department of Finance and Management Science in the Edwards School of Business invites applications for Sessional Lecturers to teach COMM 129 (Personal Financial Management) during Term 1 (Fall Session) and COMM 104 (Foundations of Business Statistics) during Term 2 (Winter Session) at the Prince Albert Campus for the 2026-2027 Regular Session. COMM 129 focuses on personal financial planning, including goal analysis, net worth assessment, financial products, investment alternatives, personal taxation, insurance, retirement planning, and estate planning. COMM 104 covers descriptive statistics, data visualization, probability, probability distributions, sampling distributions, and statistical inference, utilizing spreadsheet functions and computer programs for business data analysis. Both courses are delivered in a lecture format at the Prince Albert Campus.
Requirements
- Initial academic preparation including a graduate degree.
- Professional experience that is current and substantial in terms of duration and level of responsibility, and clearly linked to the field of teaching.
- Ongoing professional engagement that is substantive and sustained at levels supporting currency and relevance.
- A valid driver’s license is required for any off-campus courses.
- Completion of the CUPE 3287 Employment Application Form.
- Curriculum vitae (if applicable).
Responsibilities
- Teach COMM 129.3 (09) – Personal Financial Management during Term 1 (September to December) 2026.
- Teach COMM 104.3 (04) – Foundations of Business Statistics during Term 2 (January to April) 2027.
- Analyze personal goals and assess financial implications.
- Determine personal net worth.
- Analyze financial products and services.
- Understand investment alternatives appropriate to individuals and families.
- Explain personal taxation, insurance contracts, financial alternatives in retirement, and estate planning.
- Teach descriptive statistics, data visualization, probability concepts, probability distributions, sampling distributions, and statistical inference.
- Utilize spreadsheet-based statistical functions and/or computer programs to demonstrate concepts and analyze business situations.
- Prepare and mark course materials.
Benefits
- Stipend
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What This Job Offers
Career Level
Entry Level
