© Anne Gärtner

Teaching

Current Courses

Winter Term 24/25

Entrepreneurial Finance

6 ECTS Module for Master Students

Deep Learning for Social Analytics

6 ECTS Module for Master Students

Upcoming Courses

Summer Term 25

Technology Entrepreneurship

6 ECTS Module for Master Students

Causal Data Science for Business Analytics

6 ECTS Module for Master Students

Open Thesis Topics

General Info

We can best supervise bachelor or master theses if the topic is related to our research. Therefore, we recommend applicants to first explore our research in order to propose a related topic. We expect a strong interest in working with data in order to theoretically explain innovation and entrepreneurship phenomena. Depending on the applicants' background, topics can also focus on technical aspects in the area of data science, machine learning, natural language processing, network analysis or econometrics. Ideally, applicants find an interesting topic among those suggested below.

We are open to collaborative thesis projects with startups and corporates, preferably under two conditions: (1) Entrepreneurial focus, i.e. projects imply a market-oriented change of company offerings w.r.t. target customers, product features, pricing, marketing or sales. (2) Empirical focus, i.e. the entrepreneurial change can be (a) experimented with in terms of A/B testing, (b) analyzed based on existing data about its potential outcomes, or (c) evaluated on a qualitative, strategic level by thoroughly interviewing stakeholders. Thesis projects involving purely conceptual work without any empirical evaluation or only secondary research about state-of-art, best-practices, competitor benchmarks or market intelligence do rather not qualify.

The first step for applicants is to choose or propose a thesis topic (based on our research or a company collaboration) by submitting an abstract describing the topic, how to approach it and the applicant's backround, via the contact form.

Open Topics

Business Intelligence for the Circular Econmomy - Constructing a Domain-Specific Knowledge Graph using Natural Language Processing and Machine Learning

In cooperation with Grüner Hering - Agentur für Circular Economy

Startup Funding - Is It All About The Money? A Comprehensive Overview Of The Current State of Research In Value Added Services

Introduction: In the dynamic ecosystem of startups, funding plays a pivotal role in the success and growth of new ventures. Traditionally, the focus has been on the monetary aspect of funding. However, recent trends indicate that investors are providing more than just financial capital. They offer a range of value-added services (VAS) that can significantly influence the trajectory of startups. These services, which can include mentorship, strategic guidance, networking opportunities, and operational support, are critical in fostering the growth and success of startups.

Finished Theses

Business Plan for a Pedal Electric Kids Car

In cooperation with a real startup founder team

Internationalization of Startups - An Analysis of Success Factors and Barriers with Special Focus on AI and Health Care

In cooperation with Tiplu

Supervised label prediction for cosmetic patents using machine learning

In cooperation with Beiersdorf

January 1, 0001