The MSc in Experimental Medicine (Digital Health Innovation) and the MSc in Experimental Surgery (Digital Health Innovation) focus on the basics of clinical epidemiology, medical artificial intelligence, clinical innovation, and applied data science to help trainees develop digital health solutions to unmet clinical needs. Students are grounded in the fundamentals of AI applications in medicine, methods to employ big data in clinical tool development, mathematical principals underpinning digital health and big data, design thinking methodology in clinical innovation, and the utilization of high-volume streams of clinical and health-related data from clinical systems, wearables and social media.
Program Requirements
Completion of the 2-year Digital Health Innovation concentration requires successful completion of courses and an MSc thesis. Coursework will be completed during the first year of the program, and the second year will be dedicated to MSc thesis research.
As the program is jointly offered by the Departments of Experimental Medicine and Experimental Surgery, the credit requirements vary slightly for students in each department. As detailed below, 15 of the 45 required credits are the same, with differences between students from each department in the remaining 30 credits.
All Students (15 credits)
3 credits from the following:
-
EXMD 634
Quantitative Research Methods
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Topics covered include: 1) An overview of common research designs based on examples from research currently undertaken in the Division of Experimental Medicine; 2) Types of data arising from these designs; 3) Basic methods for data analysis; and 4) Application of these methods to student research projects.
Offered by: Medicine
- Restriction: Must be registered for graduate or postdoctoral studies in the Faculty of Medicine or the Faculty of Science.
-
EPIB 507
Biostats for Health Sciences
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Epidemiology & Biostatistics: Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, non-parametric statistics, correlation and introduction to linear regression.
Offered by: Epidemiology and Biostatistics
- Prerequisite: Permission of instructor
- Restriction: Restricted to students registered in the Faculty of Medicine, Dentistry, Human Nutrition, Medical Residents, and Clinical Fellows.
- Course not opened to students registered in the Epidemiology and Biostatistics programs.
- Due to the intensive nature of this course during the summer session, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day. The standard add/drop and withdrawal deadlines apply for sections of this course offered during the Fall or Winter semesters.
-
EDPE 575
Statistics for Practitioners
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Ed Psych & Couns (Psychology): Understanding and interpreting basic statistical procedures used in basic and applied research, including graphs, measures of central tendency and variability, hypothesis testing, and correlations, t-tests, and basic ANOVA designs.
Offered by: Educational&Counselling Psych
3 credits from the following:
-
EXMD 642
Experimental Med Topic 3
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Study, through guided reading, visits, practicals, assignements, of an elected and approved topic of importance in medical science.
Offered by: Medicine
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
-
EPIB 600
Clinical Epidemiology
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Epidemiology & Biostatistics: Principles and methods of epidemiology, as applied to clinical practice and clinical research. Key principles of testing and measurement in the clinical context, as well as study design, analysis, and inference in the clinical research setting.
Offered by: Epidemiology and Biostatistics
- Course offered during the Summer Session only.
- Restriction: Restricted to McGill Medical Residents and Clinical Fellows or permission of the instructor for other clinicians.
- Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
All of the following (9 credits):
-
EXSU 620
Surgical Innovation 1
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: The process of surgical innovation and acquisition of hands-on skills necessary to work within a multi-disciplinary team in the creation of a novel, need driven, and marketable prototype used in the care of the surgical patient. This is the first of a 3 part course introducing concepts and performing needs analyses.
Offered by: Surgery
- Corequisite(s): EXSU 619
- Prerequisite(s): Permission of instructors.
- Restriction(s): Course requires entry to surgical theatre; this is subject to hospital approval.
- 1) Students may be subject to interview.
- 2) Contact hours 46.5 , 31.5 hours lectures, 15 hours workshops and hospital visits.
- 3) Language of instruction: English, French available.
- 4) Minimum number 6, maximum 30
- 5) Subject to completion of medical requirements/immunization record.
- 6) Professional conduct and dress required at all times in hospital visits when in potential contact with patients.
- Terms
- Instructors
- Jake Barralet, Fackson Mwale
-
EXMD 601
RealWrldAppsofDataSci&Infrtcs
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Training in practical applications of health care data science.
Offered by: Medicine
- Terms
- Instructors
- Robyn Tamblyn, David L Buckeridge
(Real World Applications of Data Science and Informatics)
-
EXSU 500
AI in Medicine
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: Introduction to artificial intelligence (AI) applied to issues in medical diagnosis, therapy selection and learning from health data. Various AI methods, electronic medical records, and ethical/security concerns. Machine learning approaches including deep learning and reinforcement learning without delving too deeply into the technical details.
Offered by: Surgery
- Terms
- Instructors
- Amir Hooshiar, Thomas Fevens, Jake Barralet
Experimental Medicine Students (30 credits)
6 credits from approved electives:
- e.g.
EXMD 630
DevlgDgtlInnovs for HlthImpact
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Advanced innovative thinking, knowledge and skills that will aid in the development of innovative digital health solutions. It will integrate mind mapping strategies, design
thinking, and usability evaluations that form the core of developing and refining an innovative digital health solution aimed to solve a well-defined clinical/public
health problem.
Offered by: Medicine
- Restriction: Permission of the instructor
(Developing Digital Innovations for Health Impact)
Thesis (24 credits):
-
EXMD 693
Master's Thesis Research 4
12 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Offered by: Medicine
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
-
EXMD 694
Master's Thesis Research 5
12 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Medicine: Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Offered by: Medicine
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
Experimental Surgery Students (30 credits)
Thesis (30 credits):
-
EXSU 690
M.Sc. Research 1
4 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Offered by: Surgery
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
-
EXSU 691
M.Sc. Research 2
4 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Offered by: Surgery
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
-
EXSU 692
M.Sc. Research 3
4 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee.
Offered by: Surgery
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
-
EXSU 693
M.Sc. Thesis
18 Credits
Offered in the:
- Fall
- Winter
- Summer
Experimental Surgery: Written and oral presentation of thesis proposal to the research Supervisory Committee.
Offered by: Surgery
- Terms
- Instructors
- There are no professors associated with this course for the 2024 academic year
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