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
validation and cleansing
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!
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:
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).
Module 1: What is Data Science? Concepts & Application Domains | 4 days
Module 2: From Data Science to Big Data | 4 days
Module 3: Data Science in Practice and in the Future | 4 days
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
After completing the course, you will receive a certificate including course details from the WU Executive Academy.
Professor of Data Science | Director of Institute of Computer Science | University of St. Gallen
Postdoctoral Researcher | TU Vienna | WU Vienna | Austria
Assistant Professor | Institute for Information Business | member of the Institute for Cryptoeconomics | WU Vienna
- Digital forensics
- Data analytics
- Semantic web and linked data
Head of Institute | Service Marketing and Tourism | WU Vienna
- Retail and service marketing
- Customer value management
- Marketing models for customer-base analysis and decision support
Research Scientist | T DAI CON-AT | Siemens AG | Austria
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.
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.
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).