Dr. Felicitas Högger Niedermann

Assistant Professor

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Biography

Felicitas Högger Niedermann is a lecturer at the Chair for Media Linguistics at the ZHAW School of Applied Linguistics. Her expertise encompasses skills and mindsets needed for innovation and entrepreneurship, focusing on human-centered design methods and design thinking. She has extensive experience in visual collaboration methods and megatrend research, particularly in the context of media and interaction design. Högger Niedermann has taught various modules, including management of interaction design and design methods, and served as a coach for communication media studies. She co-founded the forumZUKUNFT and held managerial positions in multiple ventures, demonstrating her leadership and entrepreneurial capabilities. Her academic achievements include degrees in visual communication and advanced studies in corporate innovation management, supplemented by numerous professional certifications. In addition to her roles in education, she has received recognition for her work, such as the Red Dot Design Award.

Research Interests

Experience

Manager MediaLab

2020-01-01 — Present

ZHAW • Winterthur

Co-Founder/Host

2020-01-01 — Present

forumZUKUNFT • Winterthur

Owner/Manager

2002-01-01 — Present

formerei gmbh • Winterthur

Co-Founder/Manager

2008-01-01 — 2017-01-01

SLOWTOYS GmbH • Winterthur

Awards

#

Red Dot Design Award

2005-07-01

Requirements for ZHAW Zurich University of Applied Sciences

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:83
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:5.5
Duolingo
Overall Score
Required:115
Overall
Required:115
Prerequisites
Bachelor's degree in a relevant technical or engineering field Letter of recommendation from a university lecturer
Application Checklist
  • Bachelor's degree certificate and transcripts
  • Curriculum Vitae (CV)
  • Motivation letter
  • Passport or ID card copy
  • Passport photo (JPG format)
  • Proof of English proficiency
Specialization Notes

This requirement applies generally to the Master of Science in Engineering and its specializations like Data Science, Computer Science, and Medical Physics.