Data Science and Analytics, Master | University of Calgary | Calgary, Canada
12 months
8242 CAD/year
3533 CAD/year
Tuition fee
Apply date
Start date


The Data Science and Analytics program at University of Calgary prepares students for a career in the in-demand fields of data science and business analytics.


The curriculum was developed collaboratively by the Faculty of Science, Haskayne School of Business, and Cumming School of Medicine to ensure that students are provided with a multidisciplinary education in data science and analytics that leverages the expertise of leading researchers and instructors at the university.

Students in the Data Science and Analytics program at University of Calgary will learn the fundamental concepts and tools of data science and analytics, and refine their professional and leadership skills while developing and applying their technical knowledge and abilities. Students will be able to use concepts and tools across multiple contexts, industries, and sectors. Areas of specialization are available in either Data Science, Business Analytics, or Health Data Science and Biostatistics.

Completing this program

  • Core Courses: Working with Data and Visualization, Statistical Data Analysis, Statistical Modeling with Data, Big Data Management.
  • Four Courses in One Specialization Area: Data Science, Business Analytics, or Health Data Science & Biostatistics
  • Integrated Topics in Data Science and Analytics Course
  • A Professional or Research Internship 


  • Business Analytics
  • Data Science
  • Financial and Energy Markets
  • Health Data Science and Biostatistics


Technology sector, business start-ups, computer science research, business analysis, human resources, healthcare, marketing.

This degree will give students the ability to apply core concepts and tools of data thinking to their work in any industry. Data scientists analyze data from across a company, spot trends, and use business acumen to recommend problems to tackle and how to tackle them. These skills will be transferable to many sectors – business, retail, e-commerce, advertising, healthcare, etc.

Programme Structure

Courses include:

  • Working with Data and Visualization
  • Statistical Data Analysis
  • Statistical Modelling with Data
  • Working with Data at Scale
  • Predictive Analytics
  • Data Analytics

Key information


  • Full-time
    • 12 months

Start dates & application deadlines


30 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA

Other requirements

General requirements

  • A minimum of 3.0 GPA on a 4.0 point system, over the last two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.
  • 4-year undergraduate degree from a recognized institution.
  • Successful completion of the following undergraduate courses, with at least a "B" grade or equivalent: one course in computer programming; one course in statistics or equivalent, and one course in either calculus or linear algebra or equivalent.
  • Resume/CV
  • Reference letters are optional

Tuition Fee

To alway see correct tuition fees
  • International

    8242 CAD/year
    Tuition Fee
    Based on the tuition of 8242 CAD per year during 12 months.
  • National

    3533 CAD/year
    Tuition Fee
    Based on the tuition of 3533 CAD per year during 12 months.

Living costs for Calgary

1247 - 1953 CAD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science and Analytics
University of Calgary
Data Science and Analytics
University of Calgary


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