Learn how to use data as a resource and competitive advantage
The digital transformation of products and services is dramatically changing the existing economic system. As the change approaches ever more rapidly, data becomes more and more important in the development of new products and services and in the optimization of the preceding ones.
Data is not only generated by the companies themselves. Especially the analysis of web-related information, such as social media data, e-commerce data, app data, and sensor data – that is big data – provides companies with new and valuable sources of information. Digital business analytics should therefore be fully integrated into the company’s operations and made accessible to relevant decision makers.
This course teaches the basics of digital business analytics and big data management, including the topics of web analytics, social media analytics, and app analytics. It approaches the issues presented from both the management perspective and a technological view. A particular focus is placed on the use of digital customer information to enable informed marketing decisions. Participants receive comprehensive information on the most essential aspects of how to process and use large bulks of digital data for entrepreneurial decision-making and actions.
In the Certificate in Digital Business Analytics program you will learn how to
The part-time blended learning program is designed for
Flyer ( pdf | 202.26K ) Schedule ( pdf | 67.64K ) Curriculum ( pdf | 39.07K )
Please see below for more information:
The Certificate in Digital Business Analytics program is a part-time course of study based on a didactic concept tailored to the needs of professional decision makers. The innovative training program builds on blended learning and combines synchronous and asynchronous online sessions with on-campus classes.
The content of the course is divided into eight modules providing an advanced understanding of big data as a resource for corporate strategies and entrepreneurial decision-making. The course deals with web analytics, social media analytics, and app analytics from a management and technology perspective. It includes a special focus on the use of digital customer information for marketing decisions.
The program includes 14 on-campus sessions held on Fridays and Saturdays. Please note that the course includes two individual weeks of online classes and five projects to be completed independently as part of selected modules. You should also plan extra time for your final paper.
More information on costs & teaching principles can be found here.
The faculty includes researchers and experienced practitioners with proven expertise in their respective areas of specialization. Participants in the course will benefit from the combination of recent scientific findings and extensive practical experience provided by our team.
Scientific management & advisory board
Dr. Christian PloderMCI Lektor Department Management, Communication & IT, Innsbruck / Tirol
FH-Prof. Dr. Reinhard Bernsteiner Reinhard Bernsteiner is a professor and lecturer at the Department of Management, Communication & IT of MCI, Innsbruck.
FH-Prof. Dr. Reinhard BernsteinerMCI Lektor Department Management, Communication & IT, Innsbruck / Tirol
Thomas Dilger, MA, BASenior Lecture Department Management, Communication & IT, Innsbruck / Tirol
Ing. Marc Heiss, BAHead of Analytics, TUI Austria Holding GmbH, Innsbruck / Tirol
Prof. (FH) Dr. Michael KohleggerStv. Studiengangsleiter für Bachelor Web Business & Technology, Master Data Science & Intelligent Analytics, Master Web Communication & Information Systems, FH Kufstein / Tirol
DDI Dr. Helmut Mößmer ManagerProcess Management and Strategy, BMW AG, München / Deutschland
The Certificate in Digital Business Analytics can be counted towards the Executive MBA in General Management and the MSc in Management & Leadership programs. Both have been awarded the FIBAA Premium Seal.
All business-related MCI study programs have been accredited by the renowned Association to Advance Collegiate Schools of Business (AACSB).