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Professional Master in Artificial Intelligence

Lead the design, evaluation, and responsible adoption of AI solutions that address real organizational priorities.

Typical duration18–24 months Study formatOnline / Flexible
Who this is for

Designed for practical career progression.

  • Technology managers
  • Data and software professionals
  • Digital transformation leaders
Professional opportunities

Where this pathway can add value.

  • AI solutions leadership
  • AI product management
  • Automation strategy
  • Technology consulting

Career outcomes depend on prior experience, local requirements, and employer decisions; no role or promotion is guaranteed.

Entry guidance

Typical admission profile

  • Bachelor-level qualification or substantial relevant professional experience
  • Current CV and statement of professional goals
  • Admissions review; some programs may request an interview
Applied learning

How you will be assessed

  1. 01Advanced case analysis and applied assignments
  2. 02Workplace-focused research and presentations
  3. 03Professional capstone or consultancy project
Credential transparency

A career-focused professional master pathway designed for advanced practice. Recognition and degree equivalency depend on the issuing institution and applicable local regulations.

What you will achieve

Program outcomes

  • Evaluate AI opportunities and limitations
  • Guide machine-learning solution development
  • Establish responsible AI and governance practices
Learning journey

Core study areas

  1. 01Applied machine learning
  2. 02Generative AI solutions
  3. 03Data and model operations
  4. 04AI product strategy
  5. 05Responsible AI governance
  6. 06Applied AI transformation project
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