At University of Calgary in Calgary, Canada, Data Science and Analytics - Diploma is offered as a postgraduate diploma in Data Science & Analytics programme. The programme runs for 8 months, delivered on campus.
At a glance
Degree:Postgraduate Diploma
Field:Data Science & Analytics
Duration: 8 months
Delivery: On Campus
We have no tuition fees or an application deadline on record for this programme yet.
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Information for the 2027/28 academic year · Last reviewed September 2026 ·
Program details
Overview
The Graduate Diploma in Data Science and Analytics at the University of Calgary's Faculty of Science prepares students to work with data-driven challenges relevant to the digital economy. Coursework covers data collection, visualization, statistical analytics, and presentation skills, delivered through collaborative, experiential learning. The program is delivered in person and normally takes eight months of full-time study to complete, or four months for students laddering in from the related graduate certificate, with a maximum completion time of three years. Admission requires a four-year undergraduate degree from a recognized institution and completion of one prerequisite course each in computer programming, statistics, and calculus or linear algebra, each with a minimum grade of B. No reference letters or standardized test scores are required as part of the application.
Requirements
Minimum GPA:3.00 / 4.0
Admission Requirements: Minimum 3.0 GPA on a 4.0 scale over the last two years of full-time study, and a four-year undergraduate degree from a recognized institution. Applicants must have completed one prerequisite course each in computer programming, statistics, and calculus or linear algebra, each with a minimum grade of B, and submit unofficial transcripts with proof of prerequisite completion. No reference letters or standardized test scores are required. Applicants whose primary language is not English must meet the Faculty of Science English Language Proficiency requirements set out in the Academic Calendar.