Program Start: October 2027

Degree: Certificate of the TU Wien

ECTS: 25

Language: English

Structure: Part-time

Duration: 15 days

Tuition fee: € 8,490 (-10% reduction for TU Wien graduates)

The Masterclass is structured into three consecutive modules:

Module 1 — The Data Foundations: Data Literacy & Value Creation This module lays the foundation: you will develop a deep understanding of data, its quality, governance, and business value.

• Working with structured and unstructured data
• Data collection, quality assurance, and visualization methods
• Data governance, privacy, and ethical considerations
• Quantifying the business value of data

Module 2 — Applied Data Science & Artificial Intelligence: From Methods to Models In the second module, you will learn and apply the core concepts, technologies, and tools of modern AI.

• Machine Learning, Deep Learning, and Natural Language Processing
• Generative AI and its operational applications
• Hands-on labs with real-world datasets
• Evaluating and selecting appropriate AI models

Module 3 — Strategic AI Implementation: From Pilot to Scale The third module translates your knowledge into strategic practice.

• AI strategy and roadmap development
• Change management for AI transformations
• Scaling proofs of concept to enterprise-wide solutions
• Responsible AI: regulatory requirements and ethical frameworks

Our Masterclass is designed for ambitious professionals and executives who want to leverage AI and data-driven methods as a strategic lever for process optimization and operational excellence.

• Executives and managers who want to lead or initiate AI initiatives in their organizations. You will learn to make data-driven decisions and steer AI projects from ideation to implementation.
• Operations and process leaders who want to elevate their existing workflows through data analytics and AI. You will develop concrete approaches to improving operational efficiency.
• Technology-savvy professionals working at the intersection of IT, data, and business who want to expand their strategic competence in AI management.
• Entrepreneurs and consultants who want to develop AI-driven business models and services or support their clients through AI transformation.
• Career changers with an interest in data-driven process optimization who want to systematically build expertise in data science and AI strategy.

• Research-based teaching from a university that actively researches AI — TU Wien is not just a teaching institution but a driving force in AI research. You benefit from insights straight from the lab.
• Application- and implementation-oriented teaching methods — Hands-on labs, case studies, and interactive projects ensure you can apply what you learn immediately in your professional life.
• Management reflection on course content enables deeper engagement with the concepts presented and their impact on your organization.
• Networking opportunities within the Masterclass and the broader TU Wien ACE community open up valuable perspectives and contacts.
• An inspiring learning environment — In-person teaching at TU Wien's centrally located campus provides ideal conditions for focused learning and intensive exchange.

4 x blocked modules per semester.  Organized part-time from Thu-Sat, full day (9 a.m. - 6 p.m.)

Please note that there is extensive online preparation work leading up to the first module, spread throughout the month of September. We recommend setting aside enough time to manage this workload effectively.

The program is designed for professionals and executives from industry, business, public administration, or the technology sector.

A bachelor's degree or equivalent qualification and at least 3 years of relevant professional experience are required.

Exceptional candidates without a formal degree but with extensive professional experience may be considered on a case-by-case basis.

No. The Masterclass is designed so that Module 1 builds the necessary foundations. Technical background knowledge is helpful but not a prerequisite.

The compact program is specifically designed for working professionals and can be completed part-time in 15 days. The three modules build on each other: from data foundations to applied AI methods and strategic implementation.

Class sizes are limited to approximately 15–20 participants to ensure an interactive, discussion-based learning environment. In-person sessions facilitate hands-on activities, case studies, and peer learning.

No. Each module consists of three phases: a preparation phase (reading case studies, literature analysis, etc.), the in-person phase on campus, and a follow-up phase (completed through coursework, individual or group assignments).

Yes, the 25 ECTS credits from this Masterclass can be fully credited toward the Executive MBA Operational Excellence & AI, opens an external URL in a new window at TU Wien.