Key Learning Outcomes
At the end of the program, students will be able to:
- Apply best practices for securing cloud services and infrastructure.
- Comprehend the principles of operational technology and control systems.
- Identify and mitigate vulnerabilities in industrial and OT environments.
- Implement security controls specific to OT and critical infrastructure.
- Analyze and interpret threat data to inform security strategies.
- Develop actionable threat intelligence for proactive defense.
- Utilize threat modeling and analysis techniques to predict potential attacks.
- Conduct rigorous security testing for applications.
- Develop applications with secure coding practices.
- Execute effective incident response strategies.
- Perform digital forensic analysis to investigate cyber incidents.
- Employ AI and machine learning techniques for cybersecurity applications (This learning outcome is applicable after launching the Master's degree in Cybersecurity Analytics, which is pending approval)
Contact
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For questions regarding |
Contact |
|---|---|
|
Admissions and application process |
admissions.sis [at] mcgill.ca (Student Affairs Coordinator) |
| Course registration process; general administrative matters |
studentaffairs.sis [at] mcgill.ca (Student Affairs Coordinator) |
|
Program content and structure, academic matters |
gpdm.sis [at] mcgill.ca (Graduate Program Director) |