One of few EMBAs in DACH with AI transformation at the core
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Executive MBA Operational Excellence & AI
From AI pilots to measurable business value.
– with an Executive MBA at the intersection of technology, management, and finance.
TU Wien | 3 semesters | English | Part-time
Start: October 2026 | Application deadline: September 15, 2026 |
Early Bird Bonus: −€2,000 until May 31, 2026
The gap between AI potential and AI impact
Most AI initiatives never leave the pilot stage.
You must translate data and AI capabilities into scalable operations. Build business cases that survive finance scrutiny. Navigate governance, ethics, and regulatory frameworks like the EU AI Act. Align technical possibilities with strategic priorities. Turn scattered data into competitive advantage.
The Executive MBA Operational Excellence & AI gives you the frameworks and methods for this translation.
Leadership. Finance. Technology Management. Data Strategy. AI Implementation.
Scientifically rigorous. Practically applicable. At one of Europe's leading technical universities.
Who Is This Program For?
You have 5–15 years of experience. Technical, analytical, or scientific background. You lead in technology-driven contexts – product development, operations, digital initiatives, or AI projects.
Now you need strategic depth at the intersection of technology, data, and business.
Not because something is missing. Because the questions are more complex.
Typical situations:
Your AI projects don't scale beyond proof-of-concept.
The technology works. But integration into existing systems stalls. Budget approval is difficult. Stakeholders don't see the value. How do you build a roadmap from pilot to production? How do you quantify ROI for initiatives where outcomes are uncertain?
You make technology decisions with incomplete information.
Build vs. buy? Which use cases deserve investment? How do you evaluate AI vendors? You need structured frameworks for technology decisions – not just technical understanding, but financial and strategic perspective.
You lead data and AI teams, but lack the business language.
Your board asks about business value, not model accuracy. You must translate technical possibilities into strategic priorities. Connect data governance to risk management. Position AI initiatives in terms finance understands.
Regulatory complexity is increasing.
EU AI Act, data privacy, ethical AI – the frameworks multiply. You need to understand what compliance requires, how it affects your initiatives, and how to build governance structures that enable rather than block innovation.
What You'll Learn
- Leadership & Organizational Behavior: Leading in data-driven organizations is different.
Decision-making under uncertainty. Motivating teams through transformation. Building organizations that learn. Managing resistance to AI-driven change. - Finance & Economics: You don't need to build financial models. But you must defend investments.
Business cases for AI initiatives. ROI frameworks for uncertain outcomes. Risk assessment from an economic perspective. The language that gets budget approval. - Managing Technologies: Technology decisions with strategic consequences.
Build vs. buy frameworks. Integration architectures for data platforms. Evaluating emerging technologies. Designing technical foundations that scale. - Marketing & Strategy: Market positioning in data-driven industries. Value propositions for AI-enabled products. Strategic options when technology shifts markets. Connecting technical capabilities to customer value.
- Data Foundations: Data as strategic resource. Quality, governance, integration, visualization. Privacy and ethics as design principles. Quantifying the business value of data assets. Building the foundation everything else depends on.
- Applied Data Science & Artificial Intelligence: You don't need to train models. But you must understand what's possible.From classical approaches to Large Language Models, Generative AI, AI Agents. What works, what doesn't, and why. Enough depth to make informed decisions, not just read headlines.
- AI-Driven Business & Operations: Designing data-driven strategies. Operating models for AI at scale. Process integration. Your own AI project, developed through the program and validated in a Final Pitch before industry experts.
Why TU Wien Academy?
Investition
Your Investment
- Program fee: €9,297/semester | €8,367/semester for TU Wien alumni | €8,630/semester Early Bird until January 15, 2026
- Up to 50% tax deductible as income-related expenses/business expenses.
- Many participants are supported by their companies. We are happy to provide documentation for your performance review.
What you get
- Strategic leadership competence at the intersection of technology and business
- Frameworks to lead AI initiatives from pilot to scale
- Your own AI project, developed and validated through the program
- Network of senior professionals and TU Wien Alumni
- MBA from one of Europe's leading technical universities
- Qualification for expanded leadership responsibility
Common Questions
Technical courses teach tools. They don't teach decision-making. As a leader, you don't train models yourself. You steer AI initiatives strategically: Which use cases create value? How do you secure budget and buy-in? How do you connect technology with finance, risk, and organizational development? This EMBA closes exactly that gap.
Most AI initiatives stall in proof-of-concept because three things are missing: robust data foundations, clear ROI models, and integration into existing processes and systems. The EMBA addresses exactly this gap. You work on your own use cases, develop business cases with defensible financial models, and learn how to move from pilot to scale.
No. You don't write code. The program teaches how to steer AI projects, not how to develop models yourself. More important than programming is willingness to engage with data-driven methods and their strategic application. Participants with technical background benefit from their experience, but it's not required.
The EMBA positions you for leadership at the technology-business intersection: Head of Digital Transformation, Chief Data Officer, VP Operations, Director AI Strategy, or general management in technology-driven organizations. Roles with expanded budget and P&L responsibility where data-driven decisions and AI initiatives are core business.
Traditional business schools focus on finance, strategy, and general management. This EMBA at TU Wien is one of few programs in the DACH region where AI transformation, data governance, and process optimization are core curriculum – embedded in the technical excellence and research proximity of a leading technical university.
Blocked modules at TU Wien and Vienna surroundings. Presence phases can be planned long-term. Between modules: assignments, cases, and – depending on phase – your MBA thesis. English instruction enables access to international literature and a diverse participant cohort.
10-15 participants. Intensive engagement, not mass lecture.
Many participants receive company support. We provide documentation for HR conversations.
Your Career. Your Innovation. Your Next Step.
Download timetable
All module dates, on-site blocks, and deadlines at a glance. For your long-term planning.
