International Workspace Management Summer School
Learn more about workspace management and develop an interdisciplinary concept and improvement suggestion for a real-world organisation.
Courses
Discover our learning opportunities for students, staff and lifelong learners.
Start your learning journey
Welcome to our course hub. Here, you can connect with an international academic community and develop your competences in three key areas:
Digital skills
Digital literacy and data skills.
Green skills
Insights into sustainability, climate action, and urban resilience.
Transversal skills
Broad competences, such as communication and creativity.
How to navigate our offers
We offer you a diverse range of opportunities – from short-scale workshops and multi-week courses to full-semester modules. All offers are conducted in English, and most are free of charge.
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Our courses serve different purposes: some lead to formal academic recognition (ECTS), while others provide specialized knowledge or professional certificates. Before registering, please check the participation requirements, the duration, and the mode of delivery (e.g., self-paced online learning or blended learning formats).
If you are looking to earn credits, please clarify the ECTS recognition with your home institution beforehand. This allows you to decide which courses align with your degree requirements and personal interests – whether you want to gain formal credits, broaden your professional horizons, or develop future-proof urban competencies.
Courses
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Multivariate data analysis
Learn how to apply technologies to real world situations, to analyse a data analysis project and to determine pre-processing steps.
Sustainable urban development – for lifelong learners
Learn more about sustainable urban development and how to take on leadership and management positions.
DigiPulse | New technologies for health and social care
Learn how to apply new technologies in health and social care, and to support people in using them.
Data science
Discover the fundamentals of data science. Learn statistics, Python for data visualisation, linear modelling, and time series analysis to analyse and interpret data effectively.
Quality in pharmacy and medication safety
Learn more about quality assurance and medication safety, error prevention and patient protection in pharmacy practice.