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PhD in administration - Data Science

Structure du programme

Phase I – Preparation (if necessary, maximum 1 year)

Qualifying courses in the specialization (preparatory or introductory courses)

Phase II – Specialization (maximum 2 years)

  1. Minimum course work of 7 PhD seminars
  2. Writing of scientific paper
  3. Comprehensive exam

Course work includes the following requirements:

Compulsory seminar

4 seminars

MATH 60611A
MATH 60630A
MATH 80621A

Specialization seminars

Minimum 2 seminars

MATH 80601A
MATH 80617A
MATH 80618A
MATH 80627A
MATH 80630A
MATH 80636 A

Or any other equivalent seminar offered by the joint program or a doctoral program of another Montreal university

Pedagogy seminar

1 seminar

MNGT 80470A

Or any other equivalent seminar offered by the joint program

Responsible conduct of research seminar

1 seminar (uncredited compulsory)

ETHI 87019A

Phase III – Dissertation

  1. Public presentation of the dissertation proposal
  2. Writing of the dissertation
  3. Defence

Phases II and III supervisory committees

The student is supervised by two committees. The Phase II committee validates the student’s coursework, supervises the scientific paper, if required, and administers the comprehensive exam. The Phase III committee (or dissertation committee) supervises the student’s dissertation research work.

These committees generally include at least three professors from the four universities participating in the joint program.

Program details
90 Credits
  • Full time
  • Day
Instruction mode
  • On-site
  • Côte-des-Neiges

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