Data Science and Analytics

Data Science and Analytics


Course-based program

Program overview

The Diploma in Data Science and Analytics offers students the opportunity to advance their careers and gain skills for the new digital economy. Designed for working professionals, the curriculum emphasizes collaboration, experiential learning and team building to solve data-driven challenges.

Students will learn interdisciplinary data collection and examination techniques, data visualization, statistical and computational analytics, presentation skills, and how to apply the fundamental core concepts, and tools of data thinking to their work in any industry or sector.

Students who complete the Graduate Diploma in Data Science and Analytics may receive laddering credit for the 24 units of coursework completed in the diploma program if they are subsequently accepted to the Master of Data Science and Analytics within five years of beginning the first credential in the laddering process.

Completing this program

  • Courses: Students will take courses on data and visualization, statistical data analysis, statistical modelling with data, and big data management.
  • Specialization: Students will take four courses in their chosen specialization.


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


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

A diploma in Data Science and Analytics is usually considered a final degree.

Classroom delivery

Time commitment

Eight months, or four months for students laddering from the certificate program. Maximum completion time of three years.


No supervisor is required

Fees and funding

See the Graduate Calendar for information on fees and fee regulations, and for information on awards and financial assistance.

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Admission requirements


A minimum of 3.0 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.

Minimum education

A four year baccalaureate degree, or equivalent from a recognized institution. The successful completion of the following undergraduate courses: computer programming or computer science, statistics or equivalent, and calculus or linear algebra.

Work samples




Prerequisite Learning PDF


Reference letters


Test scores



In exceptional circumstances, individuals who do not meet formal academic requirements but who have significant life achievement may be considered for admission to this program. Such candidates may also be asked for an in-person interview with the Program Director. Please contact the program for details.

English language proficiency (ELP)

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

*Please contact your program of interest if you have any questions about ELP requirements.


Winter Admission

  • September 1: International applicants
  • December 1 :  Canadian/Permanent Residents

Fall Admission

  • November 1:  Application start
  • March 26:  Deadline for International applicants
  • July 12:  Deadline for Canadian/Permanent Residents

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements

Learn more about this program

Data Science and Analytics Graduate Program

Science A 229, 2500 University Drive NW

Calgary, AB, T2N 1N4

Contact the Graduate Program Administrator


Visit the departmental website

Faculty of Science

University of Calgary
2500 University Drive NW
Calgary, AB, T2N 1N4

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