Application Portal Information
Fall 2024
- November 1, 2023: Application start
- March 26, 2024: Deadline for International applicants
- July 12, 2024: Deadline for Canadian/Permanent Residents
Lunch and Learn
Join our Lunch and Learn to hear more about our professional programs in the rapidly evolving fields of Quantum Computing, Data Science and Analytics and Information Security.
Our one hour session will cover all three of our professional programs and a complimentary lunch will be provided. Faculty members will also be on hand to meet prospective students and answer questions.
Next Lunch and Learn:
Date: May 16, 2024
Time: 12 - 1 p.m.
Location: University of Calgary, Downtown Campus (906 8 Ave SW, Calgary)
Why a Graduate Diploma in Data Science and Analytics?
The demand for professionals trained with deep data and analytical skills is disrupting the job market. There is an incredible need for data scientists and business analytics professionals to make sense of the large amounts of data that are collected, to uncover hidden solutions to complex business problems, to present useful insights to business leaders, and to make fact-based managerial decisions.
We offer a diploma with four unique specializations in Data Science and Analytics to prepare you for a job in a variety of emerging fields.
Diploma Specializations
NOTE: Once you have initiated your application, be sure to choose "Data Science and Analytics- Diploma" from the list of programs offered.
To be considered for admission to the certificate and diploma programs in data science and analytics, you must meet the requirements outlined here.
In case of discrepancies between this page and the Academic Calendar, the Academic Calendar shall prevail. The minimum requirements are the same for all three credentials in the Data Science and Analytics graduate program, as such we recommend that students apply to the highest credential they are interested in.
Tuition information can be found here.
The curriculum depends on the diploma program. In the Fall Term (from September until December), all students from the certificate and diploma programs will start together with four courses in the fundamentals of data science and analytics (DATA 601, 602, 603 and 604). Starting in January, students proceed to the diploma phase with domain-specific courses for each specialization. An overview is provided below:
-- Fall Term (September-December) (All students will complete the 4 certificate courses in the Fall)
DATA 601: Working with Data and Visualization
DATA 602: Statistical Data Analysis
DATA 603: Statistical Modeling with Data
DATA 604: Working with Data at Scale
Full-time Diploma Program – Business Analytics Specialization
-- Winter term (January-April)
DATA 611: Predictive Analytics
DATA 612: Decision Analytics
DATA 613: Introductory Data Analytics
DATA 614: Advanced Data Analytics
Full-time Diploma Program – Data Science Specialization
-- Winter term (January-April)
DATA 605: Actionable Visualization and Analytics
DATA 606: Statistical Methods in Data Science
DATA 607: Statistical and Machine Learning
DATA 608: Developing Big Data Applications
Full-time Diploma Program – Financial Energy Markets Data Modelling Specialization
-- Winter term (January-April)
DATA 606: Statistical Methods in Data Science
DATA 607: Statistical and Machine Learning
DATA 609: Modelling of Financial Energy Markets Data
DATA 610: Advanced Modelling of Financial Energy Markets Data
Full-time Diploma Program – Health Data Science & Biostatistics Specialization
-- Winter Term (January-April)
DATA 621: Advanced Statistical Modelling
DATA 622: Machine Learning for Precision Health
DATA 623: Big Data in Health
DATA 624: Advanced Exploration and Visualization in Health
Eight months for new full-time students starting with the certificate program, or four months for full-time students laddering from the certificate program. Maximum completion time of three years for part-time students.