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AI Master’s · Become an AI Security Architect

Master's Program in AI Cybersecurity & Ethical Hacking

Defend intelligence. Secure the future of machine learning. Secure AI infrastructure against adversarial attacks. Master offensive and defensive AI security protocols.

Duration
10 Weeks
Delivery
Online
Typical salary (Canada)
$115K–$185K CAD
Coming soonNot open for enrollment yet. See the programs open now →
Download the curriculum PDF
Why it matters

Skills employers are hiring for now

  • Global demand for this AI specialization is exploding as threat surfaces expand.
  • Companies struggle to find professionals who understand both AI engineering and advanced cybersecurity.
  • A fully STEM-aligned curriculum mapping directly to critical infrastructure protection.
  • Immigrants benefit from job-ready skills in a heavily understaffed sector.
  • Real-world industry use cases defending against adversarial ML.
What makes it different

Built for real enterprise work

1

Hands-on projects defending live AI models.

2

Real enterprise use cases of adversarial attacks.

3

Portfolio-ready work in threat modeling and red teaming.

4

Interview preparation for highly technical security roles.

5

Cloud deployment security for AI workloads.

6

Governance, compliance, and zero-trust architecture awareness.

Curriculum

10 modules, fundamentals to production

Tap a module to see what you learn in it.

Download the curriculum PDFOpens in a new tab
Module 01 of 10

Cybersecurity Foundations

Day 1 — Modern Cyber Threat
  • Overview of global cyber threats
  • Types of cyber attacks (ransomware, phishing, malware)
  • Security architecture fundamentals
  • Zero Trust architecture concept
  • Security operations center (SOC) overview
  • Case Study: Colonial Pipeline cyber attack
  • Case Study: SolarWinds supply chain breach
Day 2 — Security Frameworks
  • NIST cybersecurity framework
  • ISO 27001 security standards
  • Threat modeling methodologies
  • Security risk assessment process
  • Enterprise security architecture layers
  • Case Study: Equifax data breach
  • Case Study: Target retail data breach
Day 3 — AI in Cybersecurity
  • AI-driven threat detection systems
  • Machine learning for fraud detection
  • Behavioral analytics in cybersecurity
  • Automated threat response systems
  • Security analytics pipelines
  • Case Study: TD Bank fraud detection systems
  • Case Study: Mastercard fraud detection AI
Your career after this program

What you'll become, and what it can do for your pay

You can become
AI Security EngineerAI Red TeamerAI Security Architect
🍁 In Canada
$115K–$185K
CAD / year
🇺🇸 In the US
$140K–$210K
USD / year
The typical move
Security analyst or IT professional$75K–$105K CAD
AI Security Engineer$115K–$185K CAD

About 67% higher at the middle of the range

How it moves your career
  • Defend against the new attacks: prompt injection, data leaks, model theft and rogue agents.
  • Red-team AI systems and write the guardrails that stop real incidents.
  • Combine two scarce skill sets, security and AI, which is exactly what makes this role pay well.
  • Grow toward security architect and leadership roles as AI risk reaches the boardroom.
Why it matters now

Every AI system is a new attack surface, and regulators now expect companies to secure them. Security people who understand AI are very hard to find.

Estimates from 2025–26 job postings (base salary). Typical ranges, not a guarantee: pay depends on your experience, city, employer and the job market.

Career outcomes

Where graduates go

AI Security EngineerML Cybersecurity AnalystAI Red Teamer
Typical salary range
$115K–$185K CAD
Production capstone

Build a secure AI fraud detection system

Design an AI-driven fraud detection mechanism, subject it to adversarial red-teaming, and iteratively harden its defenses against real-world evasion tactics.

Portfolio-grade project

Admission

Bachelor’s degree
Or equivalent professional experience.
Some programming
Basic Python or backend knowledge helps.
Open worldwide
International students and career changers welcome.

Questions

Is this program suitable for beginners?+

Some programming helps, but the curriculum takes committed professionals from the foundations to enterprise deployment, step by step.

Is it fully online?+

Yes. It is delivered 100% online with live, practitioner-led sessions, so you can join from anywhere.

Do I get career support?+

Yes. You build a portfolio-grade capstone, practise technical interviews and get guidance on the roles you are targeting.

What jobs can I get after graduating?+

Graduates move into roles such as AI Security Engineer, ML Cybersecurity Analyst, AI Red Teamer.

Ready to become an AI Security Architect?

This program is coming soon. Enrollment is not open yet.

See programs open now