Master Seminar Data Science - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
| module properties Master Seminar Data Science in degree program Master Data Science 2026 | |
|---|---|
| module number | 201354 |
| examination number | 2400950 |
| department | Department of Mathematics and Natural Sciences |
| ID of group | 24 (Fakultät für Mathematik und Naturwissenschaften) |
| module leader | Manja Krümmer |
| term | winter and summer term |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 22 |
| self-study (h) | 128 |
| obligation | obligatory module |
| exam | alternative examination performance |
| details of the certificate | Presentation followed by a discussion |
| link to Moodle course | |
| teacher | Lecturers from the computer science disciplines of Faculty Computer Science and Automotion and from the Institute of Mathematics |
| signup details for alternative examinations | |
| maximum number of participants | |
| previous knowledge and experience | |
| learning outcome | Students are able to independently work their way into a challenging and complex data science topic. They can familiarize themselves with current scientific findings, analyze, and evaluate them. They are capable of summarizing insights from the literature, contextualizing them, completing missing steps, and preparing them for presentation. They can present the developed content in a lecture and reflect on it in a subject-specific discussion. |
| content | The seminar teaches working with scientific literature and other relevant content as well as presenting results. |
| media of instruction and technical requirements for education and examination in case of online participation | Paper, Presentations |
| literature / references | Topic-specific literature will be provided by the supervisor, and additional ressources should be independently researched by the student. |
| evaluation of teaching | |

