Hiring.Camp

School of Computer Science Course Lecturer COMP 370/570 Fall 2026

Mcgill

·

Yesterday

Location
McConnell Eng. Bldg., Canada
Type
Part-time
Department
Education
Education
Master
Closing date
Today
Source
Workday

Description

Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Course COMP 370 / 570

Title  Introduction to Data Science/Fundamentals of Data Science

Term Fall 2026

Credit  3

LOCATION                        Downtown Campus

Schedule MW

                                            

TEACHING QUALIFICATION REQUIREMENTS :

                    

Experience                      

Previous experience as an instructor at the university-level is required. Related work experience will be taken into consideration. 

Degree:

Master Degree in related field *

OTHER 

Excellent English and communication skills.

*Article 13.07 : The Hiring Unit may convert the degree requirement into equivalent education and experience

Hiring Unit:

Computer Science

Course Title:

Introduction of Data Science

Subject Code:

COMP 370

Location:

DT Campus

Schedule:

MW

Deadline to Apply:

2026-08-20

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].

Skills

Data ScienceWorkday

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