Harald Müllich

Lecturer of Business English, Business French and Intercultural Management at Munich Business School

Schools

  • Munich Business School

Links

Biography

Munich Business School

Prof. Dr. Harald H. Müllich did Romance studies as well as German, English, Spanish and Italian language and literature studies at Friedrich-Alexander-University Erlangen-Nuremberg, Manchester University and Université Lyon II. He holds a Master''s degree in English and Gallo-Roman philology as well as in German linguistics and passed the 1st and 2nd state examinations (incl. pedagogical examination) in English and Romance studies. He earned his doctorate "magna cum laude" in applied linguistics (Romance & English studies) at University of Erlangen-Nuremberg.

Prof. Dr. Müllich has extensive experience in the business and education fields. Since 1991, he has been Professor of Business Languages (English/French) and Intercultural Competencies at the faculty of business administration at University of Applied Sciences Munich. He is also the international coordinator of University of Applied Sciences Munich, author of numerous textbooks, and lectured at universities in China, France, England and Italy. At Munich Business School, Prof. Dr. Müllich has been a lecturer for Business English, Business French and Intercultural Management since 1991.

Courses and Focus

At MBS: Lecturer for Business English, Business French and Intercultural Management
Courses: PRE-MASTER International Business, MBA International Management

Read about executive education

Other experts

Laurent Alfandari

Education International Teachers Program (ITP) 2010, Kellogg School of Management Doctorate in Operations Research, Paris-Dauphine University Master of Research in Management Science, Paris-Dauphine University ESSEC Grande Ecole (M.Sc in Management) Bachelor in Mathematics & Social Sciences, ...

Clifford Lam

Clifford’s research are focused in 1) statistical leaning techniques, especially for high dimensional data, and 2) time series analysis. These include semiparametric modelling, variables and feature selection, regularization methods for high dimensional time series analysis, to name but a few are...

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.