Data Science Courses
As research in the Wageningen University & Research specific domains requires an increasing set of skills and knowledge in the field of big data and Data Science, WUR matches that demand with an increasing choice of education possibilities in Data Science.
To share data in a meaningful way, we must be able to express the associated metadata.
Required Data Science skills & knowledge
Research involving data in WUR specific domains, such as plant, animal, environmental, social and agrotechnology & food sciences, requires skills and knowledge in the field of Data Science. This varies from technical skills of data, software, databases, and programming, to more advanced knowledge of model-based calculations, visualizations, and advanced analyse methods. Also ethical and privacy aspects of data collection and use play here a crucial role.
How to specialize in Data Science at WUR?
The students who follow BSc and/or MSc programmes have various possibilities to extend their knowledge or specialize in data science. During the BSc programmes the students can choose for BSc minor of Data Science where they learn the basics of data science.
Both in the bachelor and master program the students can also select one or more free choice courses related to data science. In some of the master programs it is already possible to follow a dedicated tracks which focus on data science skills in a specific domain. Check out the course offering below:
Additionally, there are online courses or other materials on data science which can apply to your study path.
We recommend you discuss the possibilities with your study advisor of dedicated programmes or contact WDCC for more information and possibilities.
Data Science courses listed per programme
Information Technology (INF)
Amsterdam Institute for Advanced Metropolitan Solutions (YMS)
Human nutrition (HNE)
Systems and Synthetic Biology (SSB)
Consumption and Healthy Lifestyles
Operations Research and Logistics
Business Economics
Mathematical and Statistical Methods (MAT)
- Statistics for Data Scientist (NEW)
- (Advanced) Statistics
- Advanced Statistics for Nutritionists
- R for Statistics
Communication, Philosophy and Technology (CPT)
Library (LIB)
Farm Technology (FTE)
Crop Systems Analysis (CSA)
Research Ecology Group (REG)
Bioinformatics (BIF)
- Hypothesis Generation from Omics Data (NEW)
- Algorithms in Bioinformatics
- Biological Data Analysis and Visualisation
- Practical Computing for Biologists
Geo-information Science and Remote Sensing (GRS)
- Deep Learning in Data Science (NEW)
- Smart Environments (NEW)
- Geo Scripting
- Machine Learning for Spatial Data (PhD / postdoc)