bread123

This is based on my experience, things could change next year. Last year, the MScPH cohort was around 35. This year, we're 55. The inferential stats prof taught a lot of the concepts from undergrad in much more detail so I was able to relearn them fairly quickly. We also had a lot of assignments (which were worth more than the exams) and those were really helpful in understanding the concepts. Our prof wanted all of our assignments to be done on R Markdown, so there was a steep learning curve for R at the beginning of the semester. The statistical software class (EPIB613) gave us a good foundation of R and it was a pass or fail class. Some of my classmates never took a stats course before and they did just fine! Some people in my class participated in a 1-week stats bootcamp in August, but I am not sure how you can register. First semester: PPHS602 (3h), EPIB607 (4h), EPIB601 (4h), EPIB613 (1.5h), Forum (1.5h), Tuesdays off Second semester: EPIB621 (4h), EPIB603 (3h + 1.5h lab), PPHS612 (3h), EPIB605 (2h), Forum (1.5h), Fridays off Even though the timetable may not look that busy, it was busy. The program starts full force with assignments and quizzes. We had 2-3 things due every week. Most of the breaks between classes are spent working on assignments with friends. I found the workload for inferential stats to be the heaviest (I spent 5-10h/assignment, 1-3h/reading+quiz), maybe because it was a new prof? So the average week consists of going to lectures/practicum sessions, and working on assignments or quizzes during your free time. The program is very rigorous, but you will learn a lot

Hi, I am a student in the MScPH program at McGill, feel free to ask me questions! Compared to other MPH programs, McGill's MScPH is very rigorous in epidemiology and quantitative methods, it's essentially an MScPH with specialization in epidemiology. During the first year, you'll be taking the same courses (and more) as the MSc epi students. That was a huge plus for me, since I wanted to do a more epi-focused practicum in the summer.