²ÝÝ®ÎÛÊÓƵµ¼º½


Site Navigation
Welcome
Important Notice and Disclaimer
Faculty of Graduate Studies General Information
Graduate Students' Association (GSA)
Academic Schedule
Faculty of Graduate Studies Credential Information
Admissions
Awards and Financial Assistance for Graduate Students
Tuition and General Fees
Academic Regulations
Program Descriptions
Anthropology ANTH
Archaeology ARKY
School of Architecture, Planning and Landscape SAPL
Art ART
Biological Sciences BISI
Biomedical Engineering BMEN
Chemistry CHEM
Communication and Media Studies CMMS
Computational Media Design CMD
Computer Science CPSC
Data Science and Analytics DATA
Drama DRAM
Economics ECON
Education Graduate Programs
Engineering Programs ENGG
Engineering, Chemical and Petroleum ENCH
Engineering, Civil ENCI
Engineering, Electrical and Computer ENEL
Engineering, Environmental ENEN
Engineering, Geomatics ENGO
Engineering, Leadership in Engineering and Advanced Practice LEAP
Engineering, Mechanical and Manufacturing ENME
Engineering, Graduate Certificates
English ENGL
French, Italian and Spanish FISL
Geography GEOG
Geoscience GEOS
German GSEA
Greek and Roman Studies GRST
Haskayne School of Business Programs
History HIST
Information Security and Privacy ISEC
Kinesiology KNES
Languages, Literatures and Cultures LLAC
Law LAW
Linguistics LING
Mathematics and Statistics MTST
Medicine Programs
Medicine, Biochemistry and Molecular Biology MDBC
Medicine, Biomedical Technology MDBT
Medicine, Cardiovascular and Respiratory Sciences MDCV
Medicine, Community Health Sciences MDCH
Medicine, Gastrointestinal Sciences MDGI
Medicine, Immunology MDIM
Medicine, Microbiology and Infectious Diseases MDMI
Medicine, Neuroscience MDNS
Medicine, Pathologists' Assistant MDPA
Medicine, Precision Health MDPR
Medicine, Medical Science MDSC
Military and Strategic Studies CMSS
Music MUSI
Nursing NURS
Philosophy PHIL
Physics and Astronomy PHAS
Political Science POLI
Psychology PSYC
Public Policy PPOL
Quantum Computing QUAC
Religious Studies RELS
Social Work SOWK
Sociology SOCI
Sustainable Energy Development SEDV
Veterinary Medical Sciences VMS
Interdisciplinary Specializations
Courses of Instruction
Student and Campus Services
About the ²ÝÝ®ÎÛÊÓƵµ¼º½
Graduate Studies Calendar 2023-2024 Program Descriptions Data Science and Analytics DATA
Data Science and Analytics DATA
1. Credentials and Specializations Offered

The ²ÝÝ®ÎÛÊÓƵµ¼º½ 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

*The Master of Data Science and Analytics is a continuous program with no scheduled break.

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
  • Financial and Energy Markets Data Modelling

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 beginning 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:

Graduate Diploma:

Master of Data Science and Analytics:

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) 12 units of:

b) 12 units in one specialization area:

Business Analytics Specialization

Ìý Financial and Energy Markets Data Modelling 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) 12 units of:

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

c) 12 units of:

*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.

6. 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.