Data Science and Analytics

Diploma

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.

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.

Specializations

  • Business Analytics
  • Health Data Science and Biostatistics
  • Data Science

Outcomes

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.

Supervisor

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.

Admission requirements


GPA

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

None

Documents

  • Transcripts

Reference letters

None

Test scores

None

Qualifications

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

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

  • TOEFL score of 86 with no section less than 20 (Internet-based). Our institution code is 0813.
  • IELTS score of 6.5 with no section less than 6.0 (Academic version).
  • MELAB score of 80, or higher.
  • PTE score of 59, or higher (Academic version).
  • Tier 3 of the International Foundations Program with minimum grades of B,C,C (Writing & Grammar, Reading Comprehension, Listening Comprehension & Oral Fluency)

Deadlines

For admission on September 1

  • Canadians and permanent residents: Apr. 15 application deadline
  • International students: Feb. 1 application deadline

For admission on January 1

  • Canadians and permanent residents: Aug. 15 application deadline
  • International students: June 1 application deadline

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

Department of Computer Science, ICT 602

2500 University Drive NW

Calgary, ABT2N 1N4

403.220.7495

Contact the Graduate Program Administrator

Visit the departmental website

Faculty of Science

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

Visit their website