Compulsory courses (6 credits)
The student follows the following courses:
STT8001 Doctoral examination: retrospective component
STT8002 Doctoral examination: prospective component
Optional courses (12 credits)
The student takes 6 to 12 credits from the following courses:
EPM7026 Introduction to statistical methods of causal inference
MAT7005 Advanced probabilities
STT7115 Advanced mathematical statistics
STT7125 Theory and applications of regression methods
STT7135 Lifetime analysis
STT7145 Bayesian statistics
STT7325 Computational statistics
STT7335 Data analysis methods
STT7345 Surveys: models and techniques
STT7615 Introduction to genetic statistics
STT7635 Time series
STT7645 Genetic statistics (selected topics)
The student takes 0 to 6 credits from the following courses:
EPM7000 Concepts and methods in epidemiology
EPM7002 Applied Epidemiology
EPM7010 Clinical and intervention trials
EPM7028 Survival analysis
ETH7900 Responsible Conduct of Research: Normative Frameworks (1 credit)
GIF7005 Introduction to machine learning
GLO7027 Analysis and processing of massive data
GLO7030 Learning by deep neural networks
IFT7002 Fundamentals of machine learning
STT7710 Special Topics 1 (1 credit)
STT7720 Special Topics II (2 credits)
STT7730 Special Topics III
STT7740 Special Subjects IV (4 credits)
Research credits (72 credits)
To successfully complete the program, students must carry out research work counting for 72 credits.
RESEARCH WORK
Before the end of his second session of registration as a regular student, he must submit, for endorsement by the program director, a written presentation of his research project. This presentation, approved by the research supervisor, must include a definition of the problem posed and a timetable for carrying out the project.
At UQTR, the thesis project can be attached to the Global Study Plan.
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