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Faculty of Science
Department of Mathematical and Statistical Sciences
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Partnerships

Learn about our program partnerships and competitions.
Admission Status
Open
Applications for Fall 2025 semester start
are now open
Applications for Fall 2025 semester start
will close January 15, 2025
Program Details
Faculty:
Science
Delivery Mode:
On Campus
Program Type:
Course Based
Program Duration:
16 months - Full time
Part time options available
Degree Level:
Master of Science
We are proud to offer partnerships with Canisius University and to host a Data Masters Challenge!
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Canisius University Partnership

Canisius University students in the Data Analytics and Data Science programs have the opportunity to take University of Alberta courses in mathematics, statistics, or computing science that count towards their degree.

Data Analytics Program

Learn to use big data to help companies make better and faster decisions and operate more efficiently. The data analytics master’s degree at Canisius University offers real-world learning opportunities, strong industry connections and flexible course delivery options to fit your schedule.

View the data analytics program details
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Data Science Program

Big Data is transforming every aspect of our world, and understanding how it works will continue to be a key area of expertise for every sector and industry, including business, healthcare, education and government. To study data science is to understand what it means to be a 21st century problem-solver who can turn information into insights.

View the data science program details
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Data Master’s Challenge

Join us for an exciting challenge where your analytical prowess can shine! The Data Masters Challenge is a thrilling two-day competition designed for data enthusiasts to showcase their skills in data cleaning, machine learning, and data visualization. Participants will work in teams to tackle real-world datasets and present their findings.

Data Science Program

  • Duration: 2 Days
  • Team Format: Groups of 3-5 participants
  • Focus Areas:
    - Data Cleaning: Transform raw data into a usable format.
    - Machine Learning: Develop predictive models to derive insights.
    - Data Visualization: Create compelling visual narratives to present results.

Data Science Program

  • Students must have completed at least 2 terms of coursework in the MDP Program.

Goals

  • Foster collaboration and innovation among participants.
  • Enhance practical skills in data analytics.
  • Encourage creativity in data storytelling.
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Faculty Contacts

Have questions regarding the MDP Program? We would love to hear from you and answer your questions!
DIRECTOR

Prof. Michael Li

PROGRAM COORDINATOR

Ms Jane Cooper

Fax: 1 (780) 492-6826