Data Science

Become a Pathfinder in the Maze of Big Data and Learn How to Lead Your Company to Outstanding Success

In times of digitalization, where buzzwords such as business intelligence (BI) and marketing automation are omnipresent, companies are confronted with huge challenges: how can they optimize their decision-making-process on the basis of an unimaginable mass of data, originating from a variety of sources? The answer lies in data science. To meet this need WU's executive academy has designed a cutting edge program on data science. In just a few months, you will get to know the tools, techniques, and fundamental concepts that you need to know in order to make an impact as a data scientist. You will learn how to unleash the potential of unused data resources within your enterprise - and how to approach this. During the course of the program, you will work through real-life case studies, with datasets from different domains (e.g. marketing, supply chain management) and will gain experience across the entire data science process:

  • explorative data analysis

  • data munging

  • modelling

  • validation and cleansing

  • visualization

  • communication

Take Your Skills to the Next Level

This applied program takes your data skills to the next level, shows you how to build big data pipelines as well as analytics processes and how to apply what you have learned in the context of real projects. At the end of the program, you will be able to apply all the methods dealt with and will have gathered an overview about the opportunities that open up as a data scientist. “Data Science” will guide you and your company to the future and provide you with the knowledge and skills necessary to be your organization’s data scientist. Help your company to get on the fast lane – master the big data challenge!

    • Schedule

      • Module 1: What is Data Science? Concepts & Application Domains (4 days)
        November 6 - 9, 2024
      • Module 2: From Data Science to Big Data (4 days)
        December 11 - December 14, 2024
      • Module 3: Data Science in Practice and in the Future (4 days)
        February 19 - 22, 2025
    • Target Group

      This applied program is for analysts, product managers, business managers or simply someone who wants to optimize their and their companies’ decision making through data science. Participants come from a wide range of industries including:

      • Marketing, CRM, Business Analysis, Market Research
      • Consulting
      • Industry, Supply Chain Management, Manufacturing
      • Health Care, Pharma
      • Technology, IT, Telecommunications
      • Consumer Goods
      • Finance, Insurance

      Please note: You should have at least 3 years of work experience and a good command of English (as this is the language of instruction).

    • Topics

      Module 1: What is Data Science? Concepts & Application Domains | 4 days

      • Overview and case studies from different application domains (e.g. Marketing, Supply-Chain/Production Management, Process Management, Finance)
      • Data Processing and Data Analytics: Concepts & Methods
      • Selected case studies in depth

      Module 2: From Data Science to Big Data | 4 days

      • Data Science project kick-off
      • Legal and ethical foundations and data security
      • Big Data methods and algorithms
      • Data workflows, distribution, advanced techniques (e.g. Semantic Technologies, text extraction)
      • Commercial Data Science Tools Fair
      • Advanced Data Analytics

      Module 3: Data Science in Practice and in the Future | 4 days

      • Data processing and data analytics trends and outlook
      • Application of Data Science
      • Special guest talks by distinguished academic speakers and experienced experts from practice
      • Data Science project presentations
    • Participant's Experience

      Data Science was a revelation for me. Before the program, I categorized big data to be exclusively important for big global players – I was wrong. Not only have I realized that I need to deal with my small business’ data, but I also feel competent enough to manage future challenges in my business. David Lindner

    • Certificate

      After completing the course, you will receive a certificate including course details from the WU Executive Academy.


Daniel Dan Portrait

Daniel Dan

External Lecturer

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Verena Dorner Portrait

Verena Dorner

Head of Institute for Digital Ecosystems | Academic director of the Master's Program on Digital Economy | Member of the WU Competence Center for Experimental Research | WU Vienna | Austria

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Siegfried Handschuh

Professor of Data Science | Director of Institute of Computer Science | University of St. Gallen

Ronald Hochreiter

President & CEO | Academy of Data Science in Finance | Austria

Lecturer | Research Institute for Computational Methods | WU Vienna | Austria

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Dr. Elmar Kiesling portrait

Elmar Kiesling

Postdoctoral Researcher | TU Vienna | WU Vienna | Austria

Sabrina Kirrane

Sabrina Kirrane

Assistant Professor | Institute for Information Business | member of the Institute for Cryptoeconomics | WU Vienna

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- Digital forensics
- Data analytics
- Semantic web and linked data

Mario Meir-Huber Portrait

Mario Meir-Huber

Head of Data | UNIQA Insurance Group AG 

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Axel Polleres

Professor and Head of Institute | Department of Information Systems & Operations | Institute for Information Business | WU Vienna | Austria

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Gerald Reiner portrait

Gerald Reiner

Full Professor | Institute for Production Management | WU Vienna | Austria

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Thomas Reutterer

Thomas Reutterer

Head of Institute | Service Marketing and Tourism | WU Vienna

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- Retail and service marketing
- Customer value management
- Marketing models for customer-base analysis and decision support

Simon Steyskal Portrait

Simon Steyskal

Research Scientist | T DAI CON-AT | Siemens AG | Austria 

Alfred Taudes

Professor | Department of Information Systems and Operations | WU Vienna | Austria

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Fast-track your MBA journey

Would you like to dive deeper into the subject of digitization? Apply for the MBA Digital Transformation & Data Science and attend e.g. the Data Science program in course of the part-time Master of Business Administration. You can also get credit for a continuing education program that has already been completed at WU Executive Academy.

"Digi-Winner" Grant

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Did you know that you can receive the "Digi-Winner" grant up to € 5,000 for this program? The "Wiener Arbeitnehmer*innen Förderungsfonds (Waff)" is subsidizing this program. More information and conditions on the grant.

"Digital Skills Check" Grant

FFG logo

Small and medium-sized enterprises (SMEs) based in Austria can apply for funding of up to € 5,000 per employee with the "Digital Skills Check" from the Austrian Research Promotion Agency. Further information and all requirements for funding (in German).

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8 reasons for the WU Executive Academy

8 reasons for the WU Executive Academy

International accreditations, world-class faculty, real-time issues

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