Employees

Mark Romanelli

Romanelli Mark
Mark Romanelli, MBA
Lecturer for General & Strategic Management
+43 5372 71819 107
Mark.Romanellifh-kufstein.ac.at

Biographical sketch and education

Mark Romanelli (born 1977, Detroit, USA) studied business administration at Eastern Michigan University in Ypsilanti, Michigan.  Before finishing his degree he became a founding partner in one of Michigan’s premier web design and digital media agencies.  After several years of directing operations and managing digital media projects, he split from the agency to start a smaller shop filling the need to produce professionally developed internet presence for small and medium sized businesses in the Detroit area.
After returning to Eastern Michigan University to obtain his MBA degree, he moved to Austria where he continued to serve his Detroit based internet clients and  expanded to serve new customers in Tirol. 

Professional career

1998 – 2001

Partner and Operations Director, Sagient, LLC – Ann Arbor Michigan

2001 – 2015

Owner/Principal, Latitude Digital – Brighton, Michigan / Mayrhofen, Austria

2010 – 2015

External Lecturer for English, FH Kufstein Tirol

Since Sept. 2015

Lecturer for General & Strategic Management, FH Kufstein Tirol

Teaching at FH Kufstein

  • Strategic Management Society

Networks

  • Strategic Management Society

News of the FH Kufstein

Covid-19 Information

All updates, current rules of conduct, opening times and other important measures with regards to Corona for the 2021/22 winter semester at the FH Kufstein Tirol can be found here.

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Indie Sunset Festival von Green Events Tirol ausgezeichnet

Am 31. August 2021 prämierte die Initiative Green Events Tirol von Klimabündnis und Umwelt Verein Tirol herausragende Veranstaltungen. Dazu zählte auch das von Studierenden organisierte Event „Indie Sunset Festival 2021“.

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Machine Learning am Puls der Zeit

Im Oktober 2021 startet der berufsbegleitende Masterstudiengang Data Science & In-telligent Analytics mit einem überarbeiteten Curriculum. Das brandaktuelle Thema Machine Learning liefert dabei spannende neue Impulse für Studierende.

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