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.

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!

Maria Molchanova Portrait

Maria Molchanova

  • Customer Experience & Marketing Lead for CEE & Germany | Roche Diabetes Care | mySugr GmbH

The 'Data Science' course gave me a holistic understanding of the field and showed me how it can be used practically in various business areas. As a senior marketing professional, it was crucial for me to see real-life examples of how companies can adjust their structures and mindset to become more data-driven. Learning about the latest advancements in AI was especially fascinating, as it showed how technology can enhance the work we do in organizations.

What you will learn:

✓ Gain a common understanding of the potential use of data and how it can be used effectively and efficiently.

✓ Be familiar with the contemporary methods and tools of data science, data analytics and machine learning

✓ Get relevant know-how to set up a data science project from scratch

✓ Work through real-life case studies with datasets from different domains

✓ Learn about current trends in AI and the AI Act

Bridge the gap between understanding the business challenges and technical solutions

    • Schedule

      • Module 1: The Data Science Process (4 days, 8:30-6:00pm)
        November 6-9, 2024
      • Module 2:Data Science at Work: Challenges & Solutions (4 days, 8:30-6:00pm)
        December 11-14, 2024
      • Module 3: Leveraging Data Science for Digital Transformation (4 days, 8:30-6:00pm)
        February 19-22, 2025
    • Target Group

      Data Science permeates all areas of business and all hierarchical levels.

      You are…

      • an analyst, product manager, expert from the technical field, executive or a professional who want to acquire a technical expertise to optimize the use of data within their organization.
      • aiming at building a solid understanding of the data science process.
      • interested in gaining insights about current trends in AI.
      • eager to learn how to set up a data science project from scratch.

      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).

    • Program Content

      Module 1: The Data Science Process | 4 days

      • Data analytics with Python & R
      • Data management & data processing
      • Data science lifecycle

      Module 2: Data Science at Work: Challenges & Solutions | 4 days

      • Data science project kick-off
      • Legal and ethical foundations (incl. AI Act)
      • Natural language processing & AI
      • Digital Experimentation

      Module 3: Leveraging Data Science for Digital Transformation | 4 days

      • Advanced data analytics
      • Data visualization & storytelling
      • Data science project presentations
    • Certificate

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

    • 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

David Lindner portrait

David Lindner

  • Marketing & Export | Traktorenwerk Lindner GmbH

Before the course big data seemed to be far away from my daily business in a small sized company. I categorized this topic to be important for big global players – I was wrong. Now not only that I have realized that I need to deal with big data issues, but I also feel competent enough to handle big data projects in my company.

Faculty

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 Executive MBA Digital Transformation & Data Science and attend e.g. the Data Science program in course of the part-time Executive 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

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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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