Students working on their final thesis for graduation should show and improve their ability to work on a recent, scientific, or practice-oriented research topic.
We accept both empirical and conceptual theses, but please note that the amount of work will be approximately the same for both. Even if you want to focus on a topic particularly relevant for practitioners your thesis needs to have a sound theoretical basis and must fulfill the requirements of a scientific thesis. Please note accordingly that you cannot submit a practice-only topic, e.g., a business plan, as your thesis.
In case you intend to write a thesis at our chair, we further require you to submit a proposal. This proposal should be about 1-2 pages (single-spaced), and clearly specify (1) your research question, (2) how this research question ties into an ongoing academic debate, (3) how, for this debate, your question is at least to some degree novel, interesting, and relevant, and (4) how you plan to answer your research question. Accordingly, we expect to see engagement with academic literature already in the proposal.
You will find further instructions on how to write a proposal in this document (Link).
For Bachelor Theses we highly recommend the successful participation in Empirical Research Methods and Technology and Innovation Management: Introduction.
For Master Theses we highly recommend the successful participation in Empirical Research Methods in Management and Economics and one of our Advanced Seminars.
There are two ways to write your final thesis at our chair:
- Open topics on our website (see below)
- Self-selected topic within our topic areas (see below)
(please note that a proposal is mandatory in any case)
To apply for a thesis, please provide the following information via email to Juliane Wissel:
- Curriculum vitae
- Current transcript of records
We do not consider incomplete applications.
Applications for a final thesis at the Chair of Technology and Innovation Management can be submitted at any time. Every two months we will review the applications and assign supervisors to successful applicants. The application deadlines are therefore as follows:
|Starting date||Application deadline||Feedback (acceptance or rejection)|
|January, February||November 15th||November 20th|
|March, April||January 15th||January 20th|
|May, June||March 15th||March 20th|
|July, August||May 15th||May 20th|
|September, October||July 15th||July 20th|
|November, December||September 15th||September 20th|
In case you have questions concerning available topics, please contact the potential advisor named in the topic description directly. In case you have questions concerning the application process please contact Juliane Wissel.
- Bachelor thesis: 3 months
- Master thesis: 6 months
Hand-in of the final thesis
The following documents are required, please comply with our style guidelines:
- 3 hard copies of the final thesis (including a signed declaration of authorship / "ehrenwörtliche Erklärung")
- Electronic versions of the final thesis (Word and PDF), electronic version of the final presentation (for Diploma thesis), Stata files (data, syntax), Endnote/Citavi literature files
- Hand in your thesis at the Service Point of the TUM School of Management (room 1554).
- Mon - Fri from 9:00-12:30 / 13:30-16:00
- after 4 pm it is possible to hand in the thesis in a closed envelope, addressed to TUM School of Management, Administration (Room 1566), Arcisstraße 21, at the main entrance at Arcisstraße 21
- On no account should you hand your thesis in to your supervisor, office management or the Examination Office.
- The Grades and Examinations Office will pass on copies to your supervisor.
|User Innovation, Open Innovation Processes, Commercial Open Source Software, Patent Infringements|
|Venture Capital, Technology Transfer, Patents and Brands|
|Renewable Technologies, Economic Aspects of Synthetic Biology, Interdisciplinary Engineering Topics|
|Markets for Technologies|
|IP related Modularity in Software Products, Platform Strategies|
|Management of Intellectual Property|
|Organizational Learning and Knowledge Management|
Please find a list of open topics below. Follow the link for detailed information. If you are interested in one of the topics, please directly contact the respective supervisor.
Measuring Interdisciplinarity Using Natural Language Processing - Claus Schöttl
Natural Language Processing of Community Data - Dr. Michael Zaggl