On this page: MA in Learning Sciences | MEd in Learning Sciences | PhD in Learning Sciences
Registration
After having consulted the Department's and Graduate and Postdoctoral Studies' (GPS) Registration Information page, here you will find information on your specific courses of study throughout the program. Students are required to consult with their supervisor's about complementary or any additional course requirements for their specific research topic prior to registration. The information below lays out optimal course sequencing to complete your degree's course requirements.
Information about fees, fines, and other charges can be found on the Students Accounts website.
MA in Educational Psychology - Learning Sciences
Fall 2024 - Winter 2025
Most students do not take any courses in their 2nd year of the program but must confirm their status as graduate students and enroll in the Thesis courses listed below seeking to fulfill 12 credits per term. Some students have conditions of admission which may require them to complete EDPE 575 - Educational Measurement in the first year, as such, they will be required to take EDPE 676 - Intermediate Statistics in the Fall and EDPE 682 - Univariate/Multivariate Statistics in the Winter of their second year of the program. Again, students should meet with their supervisors to review course selection before the start of term.
The following Thesis Courses must be completed during your two-years of study:
EDPE 604 - Thesis 1 - Fall OR Winter (3 credits)
EDPE 607 - Thesis 2 - Fall OR Winter (3 credits)
EDPE 693 - Thesis 3 - Fall OR Winter (3 credits)
EDPE 694 - Thesis 4 - Fall OR Winter (3 credits)
EDPE 695 - Thesis 5 - Fall OR Winter (6 credits)
EDPE 696 - Thesis 6 - Fall OR Winter (6 credits)
MEd in Learning Sciences
Course sequencing
The MEd Learning Sciences Concentration seeks to acquaint students with current theories and research on Teaching and Learning and their application to real-world and designed environments, while exploring other topics of interest in educational psychology. The degree has specific individualized curriculum progression, from required foundational courses to advanced content courses (both practical and research-oriented). These specific sequences were developed based on an evolution of content covered in previous course work. Each semester's offerings build upon topics covered and competencies developed in earlier courses and are crucial to receiving the most meaningful training for successful completion of the degree. Please consult the tables below related the Master of Education (M.Ed.); Educational Psychology (Non-Thesis) — Learning Sciences (48 credits).
Note: To ensure that you are following the correct trajectory of courses, please select the year in which you were first admitted to the program.
MEd Learning Sciences Concentration Schedules Fall 2023/ Winter 2024
The program timetables listed above outline the progression of a typical full-time student completing 12 credits per semester.
Part-time students are able to complete the program over a longer period, up to 5 years from initial registration in the program, however, they must follow the outlined curriculum progression by completing the Required Foundation Courses before enrolling in any of the Complementary or Practical (Field Work/Internship and Special Activity) courses.
Part-Time students are required to complete Year 1 required courses and 500-level complimentary courses prior to moving to Year 2 required and advanced 600-level complimentary courses. Student can arrange to meet with a edpsych.education [at] mcgill.ca (subject: Consultation%20for%20course%20selection%20-%20MEd%20Learning%20Sciences) (Program Coordinator) to select courses for enrolling after a review of the schedules above.
To view current course offerings & schedules, use the Minerva Dynamic Schedule - Class Schedule Search.
PhD in Educational Psychology - Learning Sciences
Fall 2023-Winter 2024
Fall 2023-Winter 2024
Doctoral students who completed EDPE 676 - Intermediate Statistics and EDPE 682 - Univariate/Multivariate Statistics in their Master's degree can enroll in EDPE 684 - Applied Multivariate Statistics during their first year in the program.
The following are optional Core Learning Sciences courses for PhD students:
EDPE 555 - Socio-Cultural Foundations of Learning Sciences
EDPE 640 - Emerging Technologies for Educational Change
EDPE 666 - Foundation of Learning Science
EDPE 663 - Learning Environments
EDPE 664 - Expertise, Reasoning and Problem Solving
EDPE 535 - Instructional Design
EDPE 635 - Theories of Learning and Instruction
EDPE 656 - Applied Theory/methods in the Learning Sciences
EDPE 670 - Educational Assessment and Evaluation
Fall 2023-Winter 2024 - Timetable for above noted optional courses
McGill Calendar - All ECP graduate-level courses (500-level and above).
To view current course offerings & schedules, use the Minerva Dynamic Schedule - Class Schedule Search.