The University of Toronto is calling for applications from students for Strong Data Science Scholarship to study in Canada. The Scholarship is open to pursue secondary and post-secondary students.
This scholarship is aimed at providing financial help to the students interested in pursuing a career in data science.
The University of Toronto (U of T, UToronto, or Toronto) is a public research university in Toronto, Ontario, Canada on the grounds that surround Queen’s Park.
Course Level: The Scholarship is available to pursue secondary and post-secondary students.
Study Subject: The Scholarship will be awarded in the field of data science.
Scholarship Award: The Scholarship will be awarded $1,000 (USD).
Number of Scholarships: Not Known
Scholarship can be taken in the Canada
Eligibility: The following criteria must be met in order for applicants to be eligible for scholarship:
- The project must use publicly-available, open-access data.
- All analyses, visualizations, and reports must be original.
- Students can work individually or as teams.
- Each student or team may only make a single submission.
- All submissions must include the source code and data necessary to reproduce the analysis.
- Submissions must be hosted at a public repository, such as GitHub.
- All applicants must be currently registered as students at a college/university in the United States or Canada.
Nationality: The United States or Canada applicants can apply for the Scholarship.
College Admission Requirement
Entrance Requirements: Applicants must have their previous degree.
English language Requirements: Applicants need to demonstrate that they have a good level of written and spoken English the candidate should have a very good command over English language.
How to Apply: Application procedure:
- Find a publicly-available dataset.
- Choose an interesting research question in the public interest that can be addressed using these data.
- Using the programming language(s) of your choice (e.g., R, Python), analyze, visualize, and interpret the data.
- Code your analysis such that we can re-run it ourselves to reproduce your results and visualizations.
- Create a presentation (up to 20 slides) that clearly outlines your research question, methods, and findings.
- Submit your presentation as a PDF and a link to your project’s reproducible source code repository to [email protected] by the deadline above.
Application Deadline: The Application Deadline is June 1, 2017.