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University of Toronto Strong Data Science Scholarship in Canada, 2017

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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.

About

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 contact@strong.io by the deadline above.

Application Deadline: The Application Deadline is June 1, 2017.

Scholarship Link

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