Graduate Diploma in Data Science and Analytics
Elevate your career with a graduate-level 8-course diploma taught by leading professionals on campus.
Fall 2023 and Winter 2024 Application Portal Information
We are extending our admission deadline to provide further access and support to our applicants. The Fall 2023 deadline will now be July 3rd, 2023, 11:59 MST for Canadian/Permanent Residents. The application portal for Fall 2023 is now closed for international applications.
The application portal for Winter 2024 is now open. The Winter 2024 application deadline is September 1st, 2023, 11:59 MST for International applicants and October 3rd, 2023, 11:59 MST for Canadian/Permanent Residents.
Information Session
Please stay tuned for our next information session - details about the session will be posted here.
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 these emerging fields: Data Science, Business Analytics, Health Data Science & Biostatistics and Financial and Energy Markets Data Modelling
Specialization in Business Analytics
The specialization in Business Analytics is offered by the Haskayne School of Business. This specialization will give you the skills and expertise that you need to support data-driven business decision-making. You would typically be collecting and interpreting big data through quantitative analysis in order to evaluate, predict and prescribe decisions in a number of business areas, including operations, finance, marketing, customer service, and human resources.
Specialization in Data Science
The specialization in Data Science is offered by the Faculty of Science. This specialization will help you gain skills for the new digital economy. You will learn how to apply the tools of data science and analytics to work in many professional fields - such as data analysis and cleaning, machine learning and information visualization. Take your career to new heights in today’s data-driven world!
Specialization in Health Data Science & Biostatistics
The specialization in Health Data Science & Biostatistics is offered by Cumming School of Medicine. This specialization will provide you with the skills necessary to advance precision medicine and precision public health. You will learn how to use various modern analytic techniques including machine learning, natural language processing and data visualization and how to apply these skills in the fast-paced world of medicine.
Specialization in Financial and Energy Markets Data Modelling
The specialization in Financial and Energy Markets Data Modelling (FEMDM) Is offered by the Faculty of Science. This specialization will give you the skills and expertise that you need to flourish in a global economy that is increasingly data-driven. Graduates will be able to apply these concepts and tools in the financial and energy industries, analyzing sets of voluminous and complex data to effectively plan future trading and transactions and manage their associated risk.
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.
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: Big Data Management
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.
What does the schedule for the Diploma program look like?
A full-time student's schedule will generally follow the schedule below.
| CERTIFICATE-LEVEL (12 units) | |||
|---|---|---|---|
| TERM | COURSE | START | END |
| FALL | DATA 601 | Beginning of September | Mid-October |
| FALL | DATA 602 | Beginning of September | Mid-October |
| FALL | DATA 603 | End of October | Mid-December |
| FALL | DATA 604 | End of October | Mid-December |
| DIPLOMA-LEVEL (12 units) | |||
|---|---|---|---|
| TERM | COURSE | START | END |
| WINTER | DATA 605-608 or | January (exact start dates may vary) | April (exact start dates may vary) |
| WINTER | DATA 611-614 or | January (exact start dates may vary) | April (exact start dates may vary) |
| WINTER | DATA 606-607, 609-610 or | January (exact start dates may vary) | April (exact start dates may vary) |
| WINTER | DATA 621-624 | January (exact start dates may vary) | April (exact start dates may vary) |