The certificate comprises several modules with a total of around 15 credit points. Up to 10 credit points from your own degree program can be included.
The certificate is divided into three modules:
Foundation module: This is a basic module, the content of which can be selected from a range of courses. It provides a sound introduction to the subject area and lays the foundations for the other modules. Two domain modules: These modules offer an in-depth examination of subject-specific topics. Here too, it is possible to choose from the modules on offer in order to focus on your own areas of interest.
Foundation modulesOne of the modules must be selected from this range.
Module | CP | Target group | Offered as |
DataSkills4AI | 5 | Data scientists and users | in presence (Jena) |
Data Literacy (Basic Module) | 5 | Data scientists and users | Online course |
Data Science: Basics | 5 | Data scientists and users | Online course |
Domain-specific modules
Two specialization modules must be selected from these courses.
Upon application, other modules from the degree program can also be included as domain-specific specialization modules.
Module | CP | Target group | Offered as |
Data Science: Methods and Techniques | 5 | Data scientists:inside | Online course from SoSe 2025 |
Inference methods | 3 | Data Scientists:Inside | online course |
Data Mining | 2 | Data Scientists | Online course |
Logical Programming | 2 | Data Scientists | Online Course |
Introduction to Computational Communication Science | 5 | Data Scientist:Inside | Online course |
Stochastics | 5 | Data scientists | Presence (Ilmenau) |
Robotvision | 5 | Data Scientist (in the field of robotics) | Online course |
Cognitive Robotics | 5 | Data scientists (in the field of robotics) | Online course |
Ethics for Data Science | 5 | AI users (in the field of data science) | Online course |
Education in the Horizon of Digitality and AI (basic course) | 5 | AI users (in the field of pedagogy) | Presence (Jena) |
Education on the horizon of digitality and AI (in-depth course) | 5 | AI users (in the field of pedagogy) | Presence (Jena) |
How does it work? Background and practical knowledge for digital school lessons | 5 | AI users (in the field of pedagogy) | Presence/hybrid (Jena) |
Generative AI for humanities scholars | 5 | AI users (in the humanities and social sciences) | Online course |
Efficient Machine Learning | 6 | Data scientists | Presence (Jena) |
Computer colleague | 5 | AI users (in the field of human medicine and dentistry) | Presence (Jena) |
Applied statistics in medicine - predictive analysis and machine learning | 5 | AI users (in the field of human medicine and dentistry) | Presence (Jena) |
Opportunities and risks of AI in medicine | 5 | AI users (in the field of human medicine and dentistry) | Presence (Jena) |