ATPUO - Winter 2027 - ADM3308M - Business Data Mining

Job summary

The instructor will teach the Business Data Mining course, covering data mining processes, modeling techniques, and big data management. They are responsible for delivering course content in person and applying these concepts to managerial applications.

Job details

Posting Reason: New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: École de gestion Telfer / Telfer School of Management Academic Unit: Telfer School of Management Course Title: Business Data Mining Course Code: ADM3308 Section: M Course Description: Introduction to the data mining process, data mining tasks including classification, clustering and association rules, as well as data mining modeling techniques such as decision trees, neural networks, and regression analysis. Introduction to the management of Big Data and Big Data Analytics. Examples in various managerial applications including Customer Relationship Management, marketing, sales, credit scoring, churn, and survival analysis. Posting limited to: Professeur à temps-partiel étudiant / Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/08/24 Applications must be received BEFORE (YYYY/MM/DD): 2026/09/24 Expected Enrolment: 60 Approval date: 2026/08/24 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: Mardi | Tuesday 17:30-19:00 Jeudi | Thursday 17:30-19:00 - Requirements: Must have an MBA or Master's Degree (PhD preferred) in an area directly related to the course and demonstrate recent relevant experience in the area of the course. Must also have teaching experience, preferably in the area of Business Data Mining. 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: This section first prioritizes PhD. candidates in an area directly related to the course and demonstrate recent relevant experience in the area of the course. 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 vra.affairesprofessorales@uottawa.ca 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.

What you’ll do

The instructor will teach the Business Data Mining course, covering data mining processes, modeling techniques, and big data management. They are responsible for delivering course content in person and applying these concepts to managerial applications.

Requirements

Candidates must hold an MBA or Master's degree in a related field, with a PhD being preferred. Recent relevant experience in the subject area and prior teaching experience are required.

Listed skills

• Sales · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data mining
• Classification
• Clustering
• Association rules
• Decision trees
• Neural networks
• Regression analysis
• Big data management
• Big data analytics
• Customer relationship management
• Marketing
• Sales
• Credit scoring
• Churn analysis
• Survival analysis
• Teaching
• Big Data Analytics
• Employment Equity
• Workplace Inclusivity
• Research
• Artificial Neural Networks
• Association Rule Learning
• Big Data
• Customer Relationship Management
• Management
• Decision Tree Learning
• Creativity
• Data Mining
• English Language
• Innovation
• Survival Analysis
• Regression Analysis
• Master Of Business Administration (MBA)
• Teamwork

Job areas

• Education
• Data & Analytics
• Management & Leadership
• Unclassified
• Mining Manager
• Mining Managers
• First-Line Supervisors of Construction Trades and Extraction Workers