Experiential Learning in Data Science2023-03-28T18:35:38-04:00
Our Applied Data Science Master’s program provides a range of opportunities for experiential learning, where students can complement the conceptual concepts that are taught in the classroom.
Many students in our Applied Data Science graduate program do an internship. Students can optionally do an internship for credit. Most students are paid for their internships, but some students do an internship where it is not paid. See student write-ups on their internship, offering reflections on what they learnt as well as suggestions for students looking to get an internship.
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Each fall the iSchool hosts Data Science Day – an on-campus and virtual event for prospective and current students, faculty and alumni to convene, share best practices and research updates, hear from industry experts, and learn about advances in the field and career opportunities.
Engaging in project-based learning is a key aspect of our experiential education approach, and the majority of our courses include a significant project component. Many of these projects involve presenting results through information visualizations.
To share our information visualizations, twice a year, we hold a “Poster Day” where students showcase their posters to the iSchool community. Below, you can find examples of posters presented at previous sessions.
Raj found the practical experience he was looking for at the iSchool through hands-on experience and research projects.
Student-led consulting projects
Our iConsult Collaborative provides an opportunity for students to work with clients and corporate partners in this University-wide program that assembles cross-functional teams for client-facing Data and IT projects you can add to your professional portfolio.
Profession-focused Student Groups
Another way to gain experience “doing data science” is via one of our many data science related student groups, such as: