University of Manitoba
University of Manitoba
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Computational Sciences Co-op

SCI 3980
Closed
Main contact
University of Manitoba
University of Manitoba
Winnipeg, Manitoba, Canada
Ivy Mannil
Co-op Coordinator, Computational Sciences
2
Timeline
  • February 1, 2021
    Experience start
  • March 13, 2021
    Mid-Term Check-in
  • May 1, 2021
    Experience end
Experience
1 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Agriculture, Science, Manufacturing, Government, Education, Environment, Energy, Hospital, health, wellness & medical, Cosmetics & beauty, Mining, forestry & fishery

Experience scope

Categories
Data analysis Product or service launch Education
Skills
data collection data analysis research quality control and assurance reporting
Learner goals and capabilities

Hiring from U of M Science Co-op connects you with high calibre talent and the opportunity to play a role in shaping the development of the next generation of leaders in the digital economy, research and science.

Exceptional students, personalized quality service and satisfied employers – this is Science Co-op at the University of Manitoba.

OVERVIEW

  • Current Available Programs: Statistics
  • Available Students: 1
  • Duration: 12 - 16 weeks between January 4, and April 30, 2021
  • Hours: 35 - 40/ week or minimum total of 420 hours
  • Salary: average hourly wage is $15/hour. Employers fund salaries for student work placements.
  • Work Set-up: Students may work virtually and/or in-person within Canada, adhering to public health safety orders.

Learners

Learners
Undergraduate
Any level
1 learner
Project
420 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

The final deliverables will be agreed upon by the educator, student and partnering organization. This would include:

  • Evaluation of the work experience
  • Written or oral presentation of assignment completed
Project timeline
  • February 1, 2021
    Experience start
  • March 13, 2021
    Mid-Term Check-in
  • May 1, 2021
    Experience end

Project examples

Here’s what U of M Computational Sciences Co-op students can do for you:

  • Sample design
  • Survey form creation and maintenance
  • Questionnaire design
  • Data collection, analysis and visualization – R, Python, SPSS, MATLAB
  • Editing and imputation of data
  • Estimation of parameters of interest and their variance
  • Data protection and confidentiality
  • Quality control / assurance
  • Survey evaluation
  • Research – experiential design; scientific literature searches
  • Actuarial reporting
  • Independent projects

Computational Science Co-op students are equipped with a solid foundation of transferable skills which include:

  • Critical thinking and creative problem solving
  • Research, analysis, and project management
  • Communications and writing
  • Digital Technology
  • Independence and teamwork

Students are armed with theoretical knowledge from the following courses:

  • Principles of Data Collection
  • Linear Models

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
  • Q2 - Checkbox