External Lecturer on a fee basis (m/f/d) - Entrepreneurship SRH University München Externe Honorartätigkeit

Location: Munich Company: SRH University We are seeking an external lecturer on a fee basis f/m/d for our courses in the study program of Applied Data Science and Artificial Intelligence (ADSAI) at our School of Arts, Information and Media in München. The teaching assignment comprises 34 contact hours from December 07th, 2026 until February 20th, 2027.Your questions will be answered by: Prof. Dr. Judith Cerit | Tel.: +49 6221 6799767 | E-Mail: [email protected] As one of the largest private universities in Germany, SRH University is the innovative companion for students from over 140 nations. We are part of the leading education and healthcare provider SRH, which has been helping people to lead a self-determined life for over 50 years. We teach with passion and competence and focus on the professional and personal development of our students. At our forward-looking campuses, we offer a wide variety of study programs and models, hand in hand with business and practice. With our innovative and award-winning CORE didactics, we accompany our students individually on their path. They learn hands-on in small groups and interactive, project-based units. We see ourselves as an international, diverse and interdisciplinary community. We are part of SRH - a leading provider of education and healthcare services with 17,000 employees. SRH operates private universities, educational centers, schools and hospitals. Services: Teach the module Entrepreneurship (m_ADSA_027, 6 ECTS, 34 contact hours, in English) in Block 4 of semester 3, M.Sc. ADSAICover lean startup, business model and value proposition canvas, monetising AI products, data-driven market researchTeach funding rounds, financial modelling, scaling and hiring, AI ethics, go-to-market, pitch decks; use AI startup case studiesRun the module as group and project work: coach student teams who develop their own AI business ideaSet and grade the assessment: business plan (70 %) and pitch presentation (30 %)Coordinate dates and content with the programme; use E-Campus and Microsoft Teams Requirements: Own founding experience, or several years as startup consultant, accelerator coach or venture investorGood understanding of data- and AI-based products and business modelsTeaching or coaching experience (university, business school or accelerator)Experienced in judging business plans, financial models and investor pitchesMaster's degree or equivalent; doctorate welcome but not requiredFluent English (C1 or higher); German not required