Prof. Dr. Swen Schneider

Professor of Management Information Systems


Program Director - Master Strategic Information Management
Managing Director of the Institute of data driven business

Office hours

Lecture period: Non-lecture period:
by appointment via email by appointment via email

Focus in teaching and research

  • Digital Business and e-Commerce
  • Business Process Modeling and AI
  • Bots and Trust in the Internet
  • Mobile Internet
  • E-Finance and FinTechs (cooperation with TechQuartier)

Studienstiftung der Deutschen Wirtschaft (sdw) application procedure and deadlines:

The local sdw interviews will take place in 2020 at Goethe University.


Dr. Swen Schneider is a Professor of Business Administration and Management Information Systems at the University of Applied Sciences in Frankfurt/Germany and was Dean of the Faculty of Business and Law 2013 - 2019. Now he is the executive Director of the Institute of data driven business at the Frankfurt University of Applied Sciences.

His current research areas are the management of Software- and Web Engineering projects as well as E-Business and European E-Commerce/ Trust and Applied Artificial Intelligence, especially in the field of Mobile Internet Technologies and E-Finance.

Prior to joining the University of Applied Sciences in 2003, he worked for different international companies such as MASTERCARD, IBM as well as Commerzbank Consulting. During his professional career he gained experiences in Project Management, Requirements Engineering/Testing, Modeling Business Processes and in Sales & Business Development as well as in the field of IT- and Management Consulting.

In spring 2005 Dr. Schneider was a visiting Professor at the London Metropolitan University/UK. In 2007 he was as a lecturer at the Institute for Financial Management and Research in Chennai/India. (one of the top-ten MBA-schools in India). He visited several times the University of Wisconsin - LaCrosse (USA) and received the Carl Wimberly Award for International Partnerships.

Dr. Schneider graduated from the University of Trier in 1994 in Business Administration and Business Information Systems. He holds a Doctoral Degree in Management Information Systems from the Johann-Wolfgang Goethe University Frankfurt/Germany.

Currently he lectures courses in E-Commerce/Digital Business Management, Business Process Modeling, E-Finance, Business Intelligence and Innovation as well as Agile Project Management and Digital Transformation.

Program Director Strategic Information Management

Member of the FIBAA accreditation body

Member of the German Information Systems Society (GI)

Liaison professor of a foundation of a German scholarship program for outstanding students


New business models and the internet change business processes in companies. What methods can business processes be modeled with and optimized, and what tools are there on the market? How can business processes be outsourced (e.g. cloud computing) or optimized with the aid of AI? When do such steps pay off (business case)?

Short development cycles and continuous improvement of software require close collaboration between clients and contractors. Newer approaches come from software engineering and are attributable to agile project management. We study the questions how the goals can be defined in system integration and software development projects and how they can be performed on time and on budget. An essential point for implementing IT projects successfully is the survey and prioritization of requirements (requirement engineering).

Here, web projects have their own challenge, since in addition to software, one also has to consider the creation or migration of the content (web engineering management)



Information is becoming more and more important. Those who have it can gain a competitive edge, create products tailored to customers, perform targeted advertising, influence people, etc. In particular due to the internet, it is getting easier to generate and analyze information (see Big Data). The collection of information (credit card information e.g. with additional customer or health data) raises new questions concerning data protection (transparent human) and information ethics. People will become more aware of what data they are disclosing. In one collaboration project with the Griffith University (Australia), we examine the question of how people can make decisions about their data and for what purpose / on what occasion people are willing to disclose which of their data. What information on the internet can be trusted and what information is created automatically by bots? Can bots act autonomously in automated communication with the help of AI?

Prof. Dr. Swen SchneiderID: 5359