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The Data Science and Analytics Program may be completed by full-time or part-time study.  

From the student's initial registration in graduate studies, there is both a minimum and maximum time to degree completion. 

Students begin their studies in September or the fall term.  Students are mentored by a faculty advisor or supervisor and advised on a program of study towards completion of the degree requirements.

Below are recommended time paths for the completion of the Master's degree requirements given the minimum time-to-completion.

Term 1
Fall
Term 2
Winter
Term 3
Spring/Summer
DS8001 DS8004 Seminar course
DS8002 elective 1 Major Research Project*
DS8003 elective 2  

*The major research project (MRP) is considered to be a Milestone.  A Milestone is a component of a program which is required for graduation, but is not offered in a traditional in-class course framework.  Data Science students are enrolled in the Milestone when they are ready to commence work on their MRP.  The final assessment will normally be Pass/Fail.

In addition to the seminar course and major research paper:
Full-time students may choose three (3) required and/or elective courses per term.
Part-time students may take no more than two (2) required and/or elective courses per term.

Not all elective courses are offered in a given year.  

For a description of the Data Science and Analytcis graduate curriculum and courses consult the Yeates School of Graduate Studies Calendar.

Continuous enrolment is a requirement of all Ryerson graduate students.  Graduate students must be enrolled in every term of their program until all requirements of their program have been met, unless they have been granted a Leave of Absence or have withdrawn from the program.

From term of initial registration Minimum
Time-to-Completion
Maximum
Time-to-Completion
Full-time studies 3 terms (1 year) 9 terms (3 years)
Part-time studies 6 terms (2 years) 15 terms (5 years)
Term 1
Fall
Term 2
Winter
Term 3
Spring/Summer
DS8001 DS8004 Seminar
DS8002 elective 1  
Term 4
Fall
Term 5
Winter
Term 6
Spring/Summer
DS8003 elective 2 Major Research Project

*The major research project (MRP) is considered to be a Milestone.  A Milestone is a component of a program which is required for graduation, but is not offered in a traditional in-class course framework.  Data Science students are enrolled in the Milestone when they are ready to commence work on their MRP.  The final assessment will normally be Pass/Fail.

In addition to the placement and major research paper:
Full-time students may choose three (3) required and/or elective courses per term.
Part-time students may take no more than two (2) required and/or elective courses per term.

Not all elective courses are offered in a given year. 

For a description of the Data Science and Analytics graduate curriculum and courses consult the Yeates School of Graduate Studies Calendar.

Continuous enrolment is a requirement of all Ryerson graduate students.  Graduate students must be enrolled in every term of their program until all requirements of their program have been met, unless they have been granted a Leave of Absence or have withdrawn from the program.

From term of initial registration Minimum
Time-to-Completion
Maximum
Time-to-Completion
Full-time studies 3 terms (1 year) 9 terms (3 years)
Part-time studies 6 terms (2 years) 15 terms (5 years)