TMA-601
MSC-TMAIOFFICIAL PROGRAM PAGE
PROGRAM OVERVIEW
Master of Science in Technology Management: Artificial Intelligence
Review the program structure, courses and admissions information, then apply if it matches your goals.
Official program information
PROGRAM EXPERIENCE
All programs
Program at a glance
- Level
- Master's
- Credits
- 36
- Duration
- 1 academic year / 3 terms
- Delivery
- Online
- Languages
- English
- Admissions
- Applications open
Why this program
Lead technology and AI investments with strategic, financial, governance and transformation discipline.
A good fit if
Technology managers, product leaders, transformation managers and senior technical professionals.
Study objectives & learning outcomes5
- Technology strategy
- AI literacy for leaders
- AI product and innovation management
- Technology finance and value
- AI governance and change leadership
What you’ll build4
- Technology investment case
- AI governance framework
- Transformation roadmap
- AI / technology capstone
Career directions4
- Technology Manager
- AI Transformation Manager
- Technology Portfolio or Product Leader
- Digital Strategy roles
Career directions are illustrative and do not guarantee employment, professional title, licensure or eligibility in a particular jurisdiction.
How you will study
EAU uses a digital-first learning model designed around applied learning, evidence of competence and meaningful academic support.
- 100% online delivery, with asynchronous learning as the normal mode.
- Live or observed activity is used where the learning outcome itself requires interaction, demonstration or verification.
- Learning combines focused study, guided practice, authentic tasks, feedback and evidence of competence.
- Academic participation is based on meaningful learning activity and outcomes rather than login time alone.
Courses in this program11
The courses below reflect the current program curriculum. Course details may be updated through the university's academic review process.
TMA-602
TMA-602 — AI Foundations for Technology Leaders
TMA-603
TMA-603 — Innovation & AI Product Management
TMA-604
TMA-604 — Technology Investment, Finance & Value
TMA-611
TMA-611 — Data & Analytics for Technology Decisions
TMA-612
TMA-612 — Project, Program & Portfolio Management
TMA-613
TMA-613 — AI Governance, Ethics, Risk & Policy
TMA-614
TMA-614 — Digital Transformation & Change Leadership
TMA-621
TMA-621 — Cloud, Platform & Vendor Strategy
TMA-622
TMA-622 — Technology Leadership & Organization Design
TMA-699
TMA-699 — AI & Technology Transformation Capstone
How your learning is assessed
- Assessment is based on evidence aligned with defined learning outcomes.
- Depending on the discipline, evidence may include projects, cases, laboratories, analysis, presentations, professional artifacts or verified individual work.
- Feedback supports improvement before later or higher-stakes evidence points.
- Capstone, clinical, oral, security-sensitive or Ijazah requirements may include additional competency gates where applicable.
Academic support
- Clear course roadmaps, requirements and assessment expectations.
- Human academic support alongside the digital learning environment.
- Early support where access, participation or academic progress indicates a meaningful barrier.
- Accessibility and reasonable learning arrangements where applicable without reducing essential learning outcomes.
Programme content is reviewed through the university's academic process. Your issued study plan confirms the sequence that applies to your intake.
Review the programme facts, tuition and admissions availability shown on this page before applying.