More undergraduate students at top universities seem to be taking machine learning classes. AI Index (pg. 23) has analysed enrolment data for introductory AI and introductory ML courses over time at many leading universities. These universities were: Tsinghua (China) INAOE (Mexico) UBC (Canada) Toronto (Canada) TU Wien (Austria) Hebrew University (Israel) EPFL (Switzerland) MILA (Quebec, Canada). The growth rates of total enrolment at these universities has been in double digits from the 2010-2011 period onward. Here are the past year-on-year rate of enrolment growth over the past seven years:
- 2010-2011: 22.43%
- 2011-2012: 63.51%
- 2012-2013: 16.99%
- 2013- 2014: 16.84%
- 2014-2015: 40.64%
- 2015-2016: 22.73%
- 2016-2017: 35.62%
From AI Index’s 2018 annual report (p. 76):
Methodology We requested enrolment in introductory AI and introductory ML courses over time at many leading international computer science universities. Several schools participated. Enrolment counts were not included in our analysis if the school did not include sufficient historical data, or if the data was overly nuanced. Some schools provided enrolment by semester, and some provided it by year. In order to compare schools to each other, we collapsed semester enrolment data to show full academic years. Additionally, some schools had multiple courses that were considered “introductory” while others just had one. When appropriate and relevant, multiple courses were combined to show one “introductory AI” trend line. For enrolment as a percent of the undergraduate population, each year’s AI / ML enrolment was divided by the undergraduate population for that same year. This is a calculated field intended to show trends in enrolment on an even playing field across schools.
Nearly every school noted that enrollment, particularly in recent years, is a function of supply, rather than student demand. Our data shows the number of students that were successfully enrolled in a course, and does not account for waitlists or other demand metrics.
Unlike the U.S. schools studied, international schools significantly varied on whether courses were only open to undergraduates or not.
By how much percent will total international AI and ML course enrolment grow over the 2019-2020 period?
This resolves as the percentage change from 2019 to 2020 in the total number of undergraduates enrolled in introductory ML or AI courses in the listed universities: Tsinghua (China) INAOE (Mexico) UBC (Canada) Toronto (Canada) TU Wien (Austria) Hebrew University (Israel) EPFL (Switzerland) MILA (Quebec, Canada). The question resolves ambiguous if the data for any of these universities is not reported in the 2020 AI Index.
Historical data can be found here. Please make a copy by clicking "file" and then "make a copy" if you wish to edit it.