Surgical and Interventional Sciences (Thesis): Digital Health Innovation (M.Sc.) (45 credits)
Offered by: Surgery (Faculty of Medicine and Health Sciences)
Degree: Master of Science
Program credit weight: 45
Program Description
The M.Sc. in Surgical and Interventional Sciences; Digital Health Innovation focuses on the basics of clinical epidemiology, medical artificial intelligence (AI), clinical innovation, and applied data science, including the use and generation of digitized health and social data using specialized software. Fundamentals of current AI applications in medicine, methods to employ big data in clinical tool development, mathematical principals underpinning digital health and big data, and design thinking methodology in clinical innovation. High-volume streams of clinical and health-related data from clinical systems, wearables, and social media.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Thesis Courses (30 credits)
| Course | Title | Credits |
|---|---|---|
| EXSU 690 | M.Sc. Research 1. | 4 |
M.Sc. Research 1. Terms offered: this course is not currently offered. Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee. | ||
| EXSU 691 | M.Sc. Research 2. | 4 |
M.Sc. Research 2. Terms offered: this course is not currently offered. Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee. | ||
| EXSU 692 | M.Sc. Research 3. | 4 |
M.Sc. Research 3. Terms offered: this course is not currently offered. Independent research work under the direction of the Thesis Supervisor and the Supervisory Committee. | ||
| EXSU 693 | M.Sc. Thesis. | 18 |
M.Sc. Thesis. Terms offered: this course is not currently offered. Written and oral presentation of thesis proposal to the research Supervisory Committee. | ||
Required Courses (15 credits)
| Course | Title | Credits |
|---|---|---|
| EXMD 600 | Principles of Clinical Research. | 3 |
Principles of Clinical Research. Terms offered: Winter 2026 Foundations for conducting clinical research including the principles underlying clinical studies, an overview of key methods in clinical research and the critical interpretation of peer-reviewed literature. | ||
| EXMD 601 | Real World Applications of Data Science and Informatics. | 3 |
Real World Applications of Data Science and Informatics. Terms offered: Winter 2026 Training in practical applications of health care data science. | ||
| EXMD 634 | Quantitative Research Methods. | 3 |
Quantitative Research Methods. Terms offered: this course is not currently offered. 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. | ||
| EXSU 500 | Artificial Intelligence in Medicine . | 3 |
Artificial Intelligence in Medicine . Terms offered: Fall 2025 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. | ||
| EXSU 620 | Surgical Innovation 1. | 3 |
Surgical Innovation 1. Terms offered: Fall 2025 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. | ||