2019 CREATE Program in Data Analytics and Visualization (DAV) at York University in Toronto

Deadline: March 15, 2019.

The multi-institutional, interdisciplinary CREATE Program in Data Analytics and Visualization (DAV) at York University in Toronto offers an *all-expenses-paid undergraduate summer school on big data science.

The program includes talks by CREATE DAV faculty and industry experts on current research topics in big data science, as well as hands-on experience in York and OCAD U laboratories. The curriculum reflects the wide range of research areas at CREATE DAV, which includes research on machine learning, data mining, signal processing, computer vision, image processing, computer graphics, virtual human modeling, serious games, natural language processing, human perception & cognition, visualization & design.

 

ELIGIBILITY

 

1. The program accepts undergraduate students who are interested in pursuing a career a career in the big data science.

2. It is intended mainly for students who are planning to apply to graduate school in late 2019, and are interested in investigating interdisciplinary research  aspects of the big data science. Citizens of all countries are eligible.

3. A senior (year 3, preferably) undergraduate student that has a background in Computer Science, Math, Engineering or Psychology.

 

FUNDING

The program covers transportation costs (*up to $1,300 CAD), and provides on-campus accommodations and meals.

 

APPLICATION

The application package consists of the following:

  • A Completed Online Application Form
  • A Reference Letter, which should be sent from a referee directly to CREATE DAV Program
  • Reference letters can be sent by email to kapsh@yorku.ca or by mail to Irina Kapsh, CREATE DAV Program, York University, 4700 Keele Street, LAS 1012J, Toronto, Ontario, Canada, M3J 1P3.

In your letter, describe how you know the applicant, their prospects for an academic career, and how they would benefit from attending the summer school.

 

OFFICIAL LINK

CREATE Program in Data Analytics and Visualization

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