Courses and theses at TIE TUHH: Technology Entrepreneurship, Entrepreneurial Finance, Causal Data Science, and Social Network Analysis. Bachelor and Master programs at Hamburg University of Technology.
Keywords

Entrepreneurship Studium Hamburg, Technology Entrepreneurship Course, Entrepreneurial Finance TUHH, Causal Data Science, Master Thesis Entrepreneurship Hamburg, Startup Engineering Lehre

Teaching

© Anne Gärtner

Current Courses

Summer Term 2026

Technology Entrepreneurship

6 ECTSMaster
Technology Entrepreneurship
Christoph Ihl, Oliver Specht, Jürgen Thiesen, Jonas Wilinski
Startup Engineering: How to build a startup
Entrepreneurship (Lecture): Monday, 13:15–14:45, Building H, Room 016 (Ditze Hörsaal)
Creation of Business Opportunities (PBL I): Monday, 15:00–17:15, Building N, Room 0008
Creation of Business Opportunities (PBL II): Monday, 15:00–17:15, Harburger Schloßstraße 28, Room HS28-0.01
Creation of Business Opportunities (PBL III): Monday, 15:00–17:15, Harburger Schloßstraße 28, Room HS28-0.08

Causal Data Science for Business Analytics

6 ECTSMaster
Causal Data Science for Business Analytics
Christoph Ihl
Distinguishing causation from correlation for business decisions
Causal Data Science (Lecture): Monday, 11:30–13:00, Building D, Room D-1.023
Business Analytics with Causal Data Science (PBL): Tuesday, 15:00–17:15, Building D, Room D-0.013
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Upcoming Courses

Winter Term 2026/27

Entrepreneurial Finance

6 ECTSMaster
Entrepreneurial Finance
Christoph Ihl, Oliver Specht
Entrepreneurial finance at the intersection of entrepreneurship and finance
Entrepreneurial Finance: Lecture: Monday, 13:15–14:45, Building N, Room 0008
Entrepreneurial Finance: Case Studies: Monday, 15:00–17:15, Building N, Room 0008

Deep Learning for Social Analytics

6 ECTSMaster
Deep Learning for Social Analytics
Christoph Ihl, Jürgen Thiesen, Jonas Wilinski
Measuring, modeling and interpreting social interactions with deep learning on text and graphs
Deep Learning for Text and Graphs: Thursday, 15:00–16:30, Room HS28-0.08
Social Analytics with Deep Learning: Thursday, 16:45–19:00, Room HS28-0.08
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Open Theses

AI in Circular Economy Research Benchmarking

MasterOpen
AI in Circular Economy Research Benchmarking
Supervisor: Jonas Wilinski
Develop cutting-edge methodologies to identify, curate, and validate best practices in circular economy research using advanced data analytics

Circular Economy, Clean Technologies & Sustainability Innovation Research

MasterOpen
Circular Economy, Clean Technologies & Sustainability Innovation Research
Supervisor: Jürgen Thiesen
Investigate critical questions in clean technologies, green innovation, and circular economy transitions using quantitative or qualitative methods

Taxonomy Generation for Emerging Research Fields

MasterOpen
Taxonomy Generation for Emerging Research Fields
Supervisor: Jonas Wilinski
Develop advanced NLP techniques to automatically generate comprehensive taxonomies for small, emerging research fields
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