Program Options and Delivery
The MSc program in Data Science and Analytics Program may be completed as a full-time study (MRP or Thesis option) or part-time study (MRP option).
You can opt to take the program fully virtually or as a combination of virtual and in-person courses. For an example of course schedule and delivery, please visit the current Course Schedule.
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 degree requirements for all three options given the minimum time-to-completion.
| Term 1 Fall |
Term 2 Winter |
Term 3 Spring/Summer |
| DS8001 | DS8004 | Seminar DS8005 |
| DS8002 | elective 1 | Major Research Project* |
| DS8003 | elective 2 | |
| Seminar DS8012 |
*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 two seminar courses 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 and Postdoctoral Studies Calendar.
Continuous enrolment is a requirement of all Toronto Metropolitan University 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program until all requirements of their program have been met, unless they have been granted a Leave of Absence or have withdrawn from the program.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) - both options (Thesis option 6 terms (2 years) normally)
|
9 terms (3 years) - both options |
| Part-time studies | 6 terms (2 years) - MRP option | 15 terms (5 years) - MRP option |
| Term 1 Fall |
Term 2 Winter |
Term 3 Spring/Summer |
| DS8001 | DS8004 | Seminar DS8005 |
| DS8002 | elective 1 | |
| Seminar DS8012 |
| 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 two seminars and major research project:
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 and Postdoctoral Studies Calendar.
Continuous enrolment is a requirement of all Toronto Metropolitan University 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.
|
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| Term 1 Fall |
Term 2 Winter |
Term 3 Spring/Summer |
| DS8001 | DS8004 | Thesis |
| DS8002 | elective 1 | |
| DS8016 Directed Study |
elective 2 |
|
| DS8016 Directed Study |
| Term 4 Fall |
Term 5 Winter |
Term 6 Spring/Summer |
| Thesis | Thesis | Thesis |
*Thesis 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 Thesis. The final assessment will normally be Pass/Fail.
Please note that 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 and Postdoctoral Studies Calendar.
Continuous enrolment is a requirement of all Toronto Metropolitan University 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.
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