PIM Activities at the TU Wien Academy for Continuing Education (ACE)

The Research Unit for Production and Maintenance Management (PIM) actively contributes to executive education at the TU Wien Academy for Continuing Education (ACE) through teaching, programme development, and academic coordination. PIM’s activities focus on the integration of production, maintenance, operations, and artificial intelligence into modern management education.

Within the ACE portfolio, PIM supports professionals and executives in developing competencies required to understand, evaluate, and implement digital technologies in industrial environments. This includes data literacy, AI applications, operational excellence, and data-driven decision-making.

Further information on the full ACE MBA portfolio:
Executive MBA Programmes at TU Wien ACE

Executive MBA Strategic Management & Technology

Programme page

This programme combines technological expertise with strategic management and prepares participants to leverage technological innovation as a competitive advantage. It is designed for professionals aiming to understand how emerging technologies influence business models and long-term strategies.

PIM contributes to this programme by focusing on:

  • digital transformation in industrial environments
  • strategic integration of AI and data technologies
  • technology management in production and operations
  • linking technological innovation with business strategy
  • data-driven decision-making processes

MBA Data-Driven Business | Porsche Holding

Programme page

This customized MBA programme is designed exclusively for Porsche Holding employees and focuses on transforming data into business value. The programme targets professionals in IT and related fields and supports the development of competencies to translate data insights into strategic decisions.

PIM contributes through executive lectures, applied sessions, and knowledge transfer in industrial AI applications and value chains.

A concrete example is the Executive Day on data-driven decision-making:
Executive Day “From Data to Decisions”

PIM-related focus areas include:

  • AI-supported knowledge management in industrial systems
  • data-driven decision-making in maintenance, production, and supply chains
  • identification and evaluation of AI use cases
  • transfer of academic insights into corporate practice

The programme emphasizes practice-oriented learning through formats such as tandem mentoring, executive exchange, and real business projects, ensuring direct applicability within the organization.

Executive MBA General Management

Programme page

This programme strengthens management competencies in a digitalized business environment. It combines classical management education with a strong focus on data literacy, artificial intelligence, and innovation.

Participants develop capabilities in finance, economics, technology management, and innovation processes, while also gaining practical understanding of digital tools and data-driven decision-making.

PIM contributes particularly to:

  • data literacy and AI in management contexts
  • application of digital technologies in business processes
  • analytical and decision-making competencies
  • innovation and technology-driven business transformation
  • strategic change and organizational development

Executive MBA Operational Excellence & AI

Programme page
Curriculum details

PIM acts as the main academic coordinator of this programme. The Executive MBA Operational Excellence & AI addresses a key challenge for modern organizations: moving from isolated AI pilots to scalable, value-generating applications.

The programme integrates leadership, strategy, and technological expertise with a strong focus on data and AI.

Programme Highlights:

  • Frontier Insights
    Talks from leading startups and established industry innovators provide insights into current and future developments.
  • Academic Excellence
    Sessions led by university lecturers and domain specialists ensure a strong scientific and methodological foundation.
  • Real-World Immersion
    Business and factory visits enable participants to experience industrial applications of AI and operational excellence firsthand.
  • Your AI Project Starts Here
    Participants work with their own company data to identify use cases, develop prototypes, and present solutions for expert validation.

Specialization Modules:

1. Data Foundations: Data Literacy & Value Creation
Participants learn how to collect, structure, and interpret data, as well as how to derive business value. Topics include data governance, data quality, privacy, and ethical considerations.

2. Applied Data Science & Artificial Intelligence
Introduction to AI methods such as machine learning, neural networks, generative AI, large language models, prompt engineering, and AI agents.

3. AI-Driven Business & Operations
Application of AI in real business contexts, including the development of data-driven strategies and company-specific AI solutions.

KI-Manager (ISO/IEC 17024)

Programme page

The KI-Manager qualification is an ISO/IEC 17024-certified programme that enables professionals and managers to understand, evaluate, and apply artificial intelligence in organizational contexts.

The programme combines technical fundamentals with business application and regulatory considerations, allowing participants to act as an interface between management, IT, and operational units.

Core Competencies:

Participants develop a structured understanding of AI, including:

  • fundamental methods such as machine learning, deep learning, and generative AI
  • identification and evaluation of AI use cases
  • ability to support stakeholders in the implementation of AI solutions

Contents:

  • technical foundations of artificial intelligence
  • legal and regulatory aspects
  • ethical considerations
  • AI project management

Practice-Oriented Learning Formats

  • Interactive modules
  • Real business cases
  • Industry experts
  • Company projects
  • Business and factory visits

What We Offer

  • Integration of academic knowledge and practical application
  • Expertise in production, maintenance, and AI
  • Executive education for professionals and managers
  • Development of data and AI competencies
  • Direct transfer into organizations