University of Calgary : Data Science and Analytics DATA

Data Science and Analytics DATA

Contact Information

Location: Science A Building, Room 229
Email address: [email protected]
Web page URL: ucalgary.ca/science/data-science/graduate

1. Credentials and Specializations Offered

The University of Calgary offers the following programs in Data Science and Analytics:

Master of Data Science and Analytics
Graduate Diploma in Data Science and Analytics
Graduate Certificate in Fundamental Data Science and Analytics

Specializations offered under the Master of Data Science and Analytics and Graduate Diploma in Data Science and Analytics:

Business Analytics
Data Science
Health Data Science and Biostatistics

Laddered Pathway from the Graduate Certificate to the Diploma, and from the Graduate Diploma to the Master of Data Science and Analytics

Students who complete the Graduate Certificate in Fundamental Data Science and Analytics may receive laddering credit for the 12 units of coursework completed in the certificate program if they are subsequently accepted to the Graduate Diploma in Data Science and Analytics program within five years of completing the certificate.

Students who complete the Graduate Diploma in Data Science and Analytics may receive laddering credit for the 24 units of coursework completed in the diploma program if they are subsequently accepted to the Master of Data Science and Analytics within five years of beginning the first credential in the laddering process.

Students may also choose to ladder from the Graduate Certificate in Fundamental Data Science and Analytics into the Master of Data Science and Analytics. Upon admission to the Master’s degree program, student may receive laddering credit for the 12 units of coursework completed in the Certificate program.

2. Admission Requirements

In addition to the Faculty of Graduate Studies admission requirements, all applicants must meet the following requirements:

A four-year baccalaureate degree from a recognized institution;
A minimum admission grade point average of 3.00 on a four-point scale or equivalent;
The successful completion of the following undergraduate courses:
- one course in computer programming (such as Computer Science 217, Computer Science 231, Data Science 211, or equivalent)
- one course in statistics (such as Statistics 205, Statistics 217, Statistics 321, Statistics 327, or equivalent), and
- one course in either calculus or linear algebra (such as Mathematics 211, 249, 265, 275, or equivalent).

Note: In exceptional circumstances, individuals who do not meet formal academic requirements but who have significant life achievement may be considered for admission to this program (see A.1 Qualifications ). The candidate must provide the Data Science Program Director with evidence demonstrating the potential to successfully undertake this program. Such candidates may also be required to participate in an in-person interview with the Program Director and/or take one or more assessment tests provided by the program to establish their level of proficiency in the subject areas used as program prerequisites.

3. Application Deadlines

The deadline for completed applications is available on the Future Students website:

Graduate Certificate: ucalgary.ca/future-students/graduate/explore-programs/data-science-analytics-certificate-course-based

Graduate Diploma: ucalgary.ca/future-students/graduate/explore-programs/data-science-analytics-diploma-course-based

Master of Data Science and Analytics: grad.ucalgary.ca/future-students/explore-programs/data-science-and-analytics-mdsa-course

Students who wish to use the Graduate Certificate as a pathway to ladder into the Graduate Diploma program must apply to the Graduate Diploma program by the stated deadline.

Students who wish to ladder from the Graduate Diploma program into the Master’s degree must apply to the Master’s degree program by the stated deadline.

4. Advanced Credit

Advanced credit will not normally be given for any of the Data Science and Analytics credentials.

5. Course Requirements

Graduate Certificate in Fundamental Data Science and Analytics

The Certificate requires 12 units of coursework consisting of:

Graduate Diploma in Data Science and Analytics

The Diploma requires 24 units of coursework consisting of:

a) Graduate Certificate in Fundamental Data Science and Analytics (12 units)

b) 12 units of coursework in one specialization area:

Business Analytics Specialization

Data Science Specialization

Health Data Science and Biostatistics Specialization

Master of Data Science and Analytics

The Master of Data Science and Analytics requires 36 units of coursework consisting of:

a) Graduate Certificate in Fundamental Data Science and Analytics (12 units)

b) 12 units of coursework in one of the specialization areas listed above.

c) 12 units of:

Data Science 691
Data Science 693 or 695*

*Note: Students who acquire a paid internship are to register in Data 693; students who acquire an unpaid internship are to register in Data 695.

Flexible Grade Option (CG Grade)

The Data Science and Analytics Professional Program will allow students to pursue the Flexible Grade Option (CG Grade).

Students may choose the CG grade for a course taken extra to load.

The use of the CG grade will affect students' eligibility for internal awards.

6. Time Limits

The expected completion time for the Master of Data Science and Analytics is 12 months.

For students laddering from the Graduate Certificate and/or the Graduate Diploma program into the Master’s, the maximum completion time for all laddered credentials is six years from the start of the first credential in the laddering process.

The expected completion time for the Graduate Certificate in Fundamental Data Science and Analytics is four months. The maximum completion time for the Certificate is three years from the start of the program.

The expected completion time for the Graduate Diploma in Data Science and Analytics is 8 months (direct entry, full-time), and 4 months or 8 months (part-time) for students laddering from the Graduate Certificate program, depending on the schedule being offered. The maximum completion time for the Graduate Diploma is three years from the start of the program.

7. Supervisory Assignments

An Academic Coordinator is assigned to each cohort in the Graduate Certificate, Graduate Diploma and Master's programs.

8. Financial Assistance

Financial assistance may be available to qualified students. For information on awards, see the Awards and Financial Assistance section.

UofC