
MSc. Data science and Artificial Intelligence
2022-2025During this master my focus was on how to process large amount of data. In particular the algorithmic side of data processing over the statistical analysis. For example I learned about how to process geographic data such as trajectories and map data during the "Algorithms for Geographic Data" course, and about the algorithms that make databases run in "Engineering Data Systems". As a secondary focus I had Machine Learning/Artifical Intelligence. Although I enjoy the topic and find it very fascinating I have learned that I prefer not to develop models myself due to the very slow feedback loop. I do, however, have the necessary knowledge to work closely together with people who implement the models.
Courses
- Longitundinal Data Analysis
- Algorithms for Geographic Data
- Foundations of Process Mining
- Optimization for Datascience
- Topological Data Analysis
- Engineering Data Systems
- Data Intelligence Challenge
- Philosphy and Ethics of AI
- Big Data Management
- Foundations of Artificial Intelligence
- Datamining and Machine Learning
- Machine Learning Engineering
- Deep Learning
- Generative AI Models
- Visualization
- Seminar Algorithms