Program Director - Master Strategic Information Management
Managing Director of the Institute of data driven business
Focus in teaching and research
- Mobile Internet
- E-Finance and FinTechs (cooperation with Startup Center TechQuartier)
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 (minors in Computational Linguistics and Personality Psychology).
Currently he lectures courses in Research Methods, E-Commerce/Digital Business Management, Business Process Modeling, E-Finance, Business Intelligence and Innovation as well as Agile Project Management and Digital Transformation Strategies.
He is a certified Scrum Master and Product Owner and advises companies on Digital Transformation and Agile Projects.
Program Director Master of Science Strategic Information Management since 2008
Member of the FIBAA accreditation body since 2005
Member of the German Information Systems Society (GI) since 1995
Member of the Frankfurt Payments Network Organization since 2016
Liaison professor of a foundation of a German scholarship program for outstanding students since 2009
Director of Internationalisation Strategy of Faculty 3: Business & Law 2006-2009
Member of the FraUAS Senat 2006 - 2012
Dean of the Faculty Business and Law 2013 - 2019
Executive Director of the Institute of data driven business since 2018
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?