Find Canadian undergraduate programs that could be a fit for you
DegreeHub asks you questions about yourself and then uses artificial intelligence to figure out which undergraduate programs you might like.
About DegreeHub
How it works
DegreeHub asks users a series of questions about their personalities, interests, and aptitudes. It uses the responses provided by users to model each individual's estimated satisfaction with the universities and programs in Canada that offer undergraduate admissions.
The model was developed using more than 10,000 surveys of recent university graduates and includes information on every known undergraduate degree offering in Canada. Users are assigned a percentage match score with each program and presented with information on the various universities that offer said program.
Users have the ability to navigate their results and select the options that they prefer.
get started
DegreeHub works by learning about you. It asks you questions about your interests and goals in order to try and understand what motivates you.
DegreeHub uses thousands of surveys of recent university graduates to program its artificial intelligence, which then calculates each person’s individual match with the university programs available to undergraduate students.
DegreeHub calculates your match with thousands of undergraduate programs across Canada. You can explore all your matches and decide which options make the most sense for you.
An ML Program Recommender for Prospective University Students
Our Approach
To achieve its initial model, the high school and university experiences of a cohort of recent undergraduates were surveyed in the spring of 2021. From this survey of more than 10,000 graduates the model outlined in this paper was developed, indicating the degree to which users were likely to be satisfied with 10 academic disciplines and 70 different sub-disciplines (programs).
Aside from the recommendations, the tool provides a convenient platform for participants to explore over 5000 of the different majors offered at public institutions across Canada.
A robust MVP
A simple and robust MVP university recommender model and its results have been presented here. These initial results provide a real starting point for students to begin exploring potential academic paths. The model relies on the assumption that the wisdom of the crowd (that is, the experience of former students) is sufficient to guide prospective ones on their journey. If true, the tool provides accurate (top 10) recommendations about ¾ of the time.
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