Data Science and Analytics - MOCKUP

Fall 2026 Applications Now Open!

Courses Student Support

The Professional Graduate Program in Data Science and Analytics at the University of Calgary is an intensive, course-based program designed to b e completed in one year. It prepares students to launch or advance data driven careers by developing practical skills in working with data sets, data informed decision making, visualization, and applied analytics, all within a multidisciplinary learning environment aligned with Canada’s growing tech economy.

As our Graduate Professional Program’s courses are taught according to a non-standard schedule, they have different drop, add and withdrawal deadlines. Please refer to the Student Centre for deadlines speciﬁc to courses with a non-standard schedule.

Full time, one-year continuous program
No Scheduled break

3 credential laddered track program
Flexible progression

Direct Entry

Term 1 - Fall Term

Data Science 601 | Working with Data and Visualization
Data Science 602 | Statistical Data Analysis
Data Science 603 | Statistical Modelling with Data
Data Science 604 | Working with Data at Scale

Term 2: Winter Term

Upon completing the certificate's four courses, students can advance to the diploma program with one of the following specializations:

Data Science Specialization

Data Science 605 | Actionable Visualization and Analytics
Data Science 606 | Statistical Methods in Data Science
Data Science 607 | Statistical and Machine Learning
Data Science 608 | Developing Big Data Applications
Financial and Energy Markets Data Modelling Specialization

Data Science 606 | Statistical Methods in Data Science
Data Science 607 | Statistical Machine Learning
Data Science 609 | Modelling of Financial and Energy Markets Data
Data Science 610 | Advanced Modelling of Financial and Energy Markets Data
Business Analytics Specialization

Data Science 611 | Predictive Analytics
Data Science 612 | Decision Analytics
Data Science 613 | Introductory Data Analytics
Data Science 614 | Advanced Data Analytics
Health Data Science and Biostatistics Specialization

Data Science 621 | Advanced Statistical Modelling
Data Science 622 | Machine Learning for Health Data Science
Data Science 623 | Big Data in Health
Data Science 624 | Advanced Exploration and Visualization in Health

Term 3 & 4: Spring-Summer Term

All Master’s students must complete:

Data Science 692 - Real World Applications of Data Science and Analytics

AND

Data Science 693 - Professional Internship in Data Science and Analytics

Data Science 695 - Research Capstone in Data Science and Analytics

Internship, Research or Capstone: What to Expect

You’ll choose between:

A capstone project-based experience, or
A competitive internship opportunity, or
Research with a faculty member.

You are guaranteed an opportunity to apply your knowledge, and we have an array of flexible options that will allow you to practice your new skills. Think of this as your chance to apply what you’ve learned and demonstrate your value in the marketplace—with our support behind you.

Internships are not provided or sourced by the University. They are competitive and student-secured, just like real-world job searches.

Our role is to prepare you for job search success through training and support with:

Job search strategies
Employer connections
Interview preparation
Application guidance

Laddered Pathway

Term 1 - Certificate (Fall)

Data Science 601 | Working with Data and Visualization
Data Science 602 | Statistical Data Analysis
Data Science 603 | Statistical Modelling with Data
Data Science 604 | Working with Data at Scale

Term 2 - Diploma (Winter)

Upon completing the certificate's four courses, students can advance to the diploma program with one of the following specializations:

Data Science Specialization

Data Science 605 | Actionable Visualization and Analytics
Data Science 606 | Statistical Methods in Data Science
Data Science 607 | Statistical and Machine Learning
Data Science 608 | Developing Big Data Applications
Financial and Energy Markets Data Modelling Specialization

Data Science 606 | Statistical Methods in Data Science
Data Science 607 | Statistical Machine Learning
Data Science 609 | Modelling of Financial and Energy Markets Data
Data Science 610 | Advanced Modelling of Financial and Energy Markets Data
Business Analytics Specialization

Data Science 611 | Predictive Analytics
Data Science 612 | Decision Analytics
Data Science 613 | Introductory Data Analytics
Data Science 614 | Advanced Data Analytics
Health Data Science and Biostatistics Specialization

Data Science 621 | Advanced Statistical Modelling
Data Science 622 | Machine Learning for Health Data Science
Data Science 623 | Big Data in Health
Data Science 624 | Advanced Exploration and Visualization in Health

Term 3 & 4 - Master's (Spring-Summer)

All Master’s students must complete:

Data Science 692 - Real World Applications of Data Science and Analytics

AND

Data Science 693 - Professional Internship in Data Science and Analytics

Data Science 695 - Research Capstone in Data Science and Analytics

Internship, Research or Capstone: What to Expect

You’ll choose between:

A capstone project-based experience, or
A competitive internship opportunity, or
Research with a faculty member.

Internships are not provided or sourced by the University. They are competitive and student-secured, just like real-world job searches.

Our role is to prepare you for job search success through training and support with:

Job search strategies
Employer connections
Interview preparation
Application guidance

Course Registration Guides

Please refer to Course Registration Guides for instructions on managing course enrollment in your Student Centre.

Graduate Student Standing

Poor academic standing is defined by anyone, or combination, of the following conditions:

A student receives a "C+" or lower in any one course.
A student does not maintain an annual GPA of at least 3.00 calculated each year at the time of their registration anniversary.

A student who is in poor academic standing will normally be required to withdraw from the program.

For more information, please refer to: G.H Graduate Academic Standing

University Policy and Regulations

The Academic Calendar provides important information regarding the regulations of the University and of your program. It is every University of Calgary student's responsibility to know and comply with the relevant regulations. Being familiar with the information contained in the Calendar will also assist you in
planning and moving through your program successfully.

Go to University of Calgary Academic Calendar

Please ensure you are familiar with the drop deadlines for your classes. For non-standard courses, the add/swap deadlines are the same as the drop deadlines.

When a class is dropped before its drop deadline, the course will not appear on your academic transcript and charges for the course will not be applied.

When a class is removed after its drop deadline but before its withdrawal deadline, a ‘W’ will be placed on your academic transcript and charges will still apply.

Deadlines are found on the Home Page of your Student Centre as part of the Enrolled Courses table.