Graduate Diploma in Data Science and Analytics
Elevate your career with a graduate-level 8-course diploma taught by leading professionals on campus.
Fall 2022 Application Portal Now Closed
The application portal is now officially closed for both international applicants and Canadian/Permanent Residents for the Master, Graduate Diploma, and Graduate Certificate. Domestic applicants (Canadian/Permanent Residents) may be considered on a case-by-case basis, please contact prograd.science@ucalgary.ca for more details.
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 three unique specializations in Data Science and Analytics to prepare you for a job in these emerging fields: Data Science, Business Analytics and Health Data Science & Biostatistics.
Data scientists are primarily concerned with generating actionable information in the form of data, whereas a business analyst uses that information to generate insights about the business and make data-driven decisions. The diploma in Data Science and Analytics with a Specialization in Data Science is offered by the Faculty of Science, the Diploma in Data Science and Analytics with a Specialization in Business Analytics is offered by the Haskayne School of Business, and the Diploma in Data Science and Analytics with a Specialization in Health Data Science and Biostatistics is offered by the Cumming School of Medicine.
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 in the academic calendar.
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:
Full-time Diploma Program – Business Analytics Specialization
-- Fall Term (September-December)
DATA 601: Working with Data and Visualization
DATA 602: Statistical Data Analysis
DATA 603: Statistical Modeling with Data
DATA 604: Big Data Management
-- 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
-- Fall Term (September-December)
DATA 601: Working with Data and Visualization
DATA 602: Statistical Data Analysis
DATA 603: Statistical Modeling with Data
DATA 604: Big Data Management
-- 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 – Health Data Science & Biostatistics Specialization
-- Fall Term (September-December)
DATA 601: Working with Data and Visualization
DATA 602: Statistical Data Analysis
DATA 603: Statistical Modeling with Data
DATA 604: Big Data Management
-- 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