ATPUO - Winter 2027 - ADM2304M - Applications of Statistical Methods in Business
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- Part-time
- On-site
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- Winter 2027 term
Part-time sessional teaching of ADM2304M, Applications of Statistical Methods in Business, Winter 2027 at the University of Ottawa (Telfer School of Management), in person in Ottawa, ON.
Posted as a Student Part-Time Professor role, so current student status appears to be required.
Requires a Master's degree (PhD preferred) in statistics or a closely related field, recent business statistics experience, and preferably teaching experience.
Applications close 2026/11/21; teaching is in English and the posted rate is $239.47 (2024-2025), excluding vacation and statutory pay.
From the posting
- locations
ATS location: Main Campus; Ottawa, ON
- employment types
Student Part-Time Professor
- term
2027 Winter Semester
- student status required
Professeur à temps-partiel étudiant / Student Part-Time Professor
- workplace
Please note that the teaching method will be delivered in person.
- salary
Enseignement / Teaching: $239.47 (2024-2025)
- job function
Enseignement / Teaching
- role family
Course Title: Applications of Statistical Methods in Business
- skills
Topics include the estimation (using confidence intervals) and hypothesis testing (including non-parametric methods); correlation and the simple linear regression model (with extensions to multiple regression); and chi-square tests on qualitative data.
- languages required
Language of instruction: Anglais | English
- education required
Must have a Master's degree (PhD preferred) in statistics or in a field of study where statistical methods were applied extensively.
- actionable
Must also demonstrate recent professional experience directly related to the use of statistical methods in business.
Job description
Posting Reason: New Position Location: Ottawa, ON Academic Period: 2027 Winter Semester Faculty: École de gestion Telfer / Telfer School of Management Academic Unit: Telfer School of Management Course Title: Applications of Statistical Methods in Business Course Code: ADM2304 Section: M Course Description: Topics include the estimation (using confidence intervals) and hypothesis testing (including non-parametric methods); correlation and the simple linear regression model (with extensions to multiple regression); and chi-square tests on qualitative data. Emphasis on understanding when and how to use (and not misuse) various methods. Hands-on experience with statistical software tools. (The lab is optional.) Posting limited to: Professeur à temps-partiel étudiant / Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/10/20 Applications must be received BEFORE (YYYY/MM/DD): 2026/11/21 Expected Enrolment: 90 Approval date: 2026/10/20 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type: C Posting type: Régulier / Regular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: Lundi | Monday 14:30-16:00 Jeudi | Thursday 16:00-17:30 -
Requirements: Must have a Master's degree (PhD preferred) in statistics or in a field of study where statistical methods were applied extensively. Must also demonstrate recent professional experience directly related to the use of statistical methods in business. Must also have teaching experience, preferably in the area of the course.
Teaching mode: Please note that the teaching method will be delivered in person. Teaching method might incur changes due to health measures or other reasons.
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [email protected] to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
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