WUR Data Science Minor

BSc Minor / BSc Data Science

Profile
The digital footprint of Life, Environmental, Social, Food, Energy and Nutrition Sciences is increasing at unprecedented speed, bringing opportunities for data-driven innovation in both research and industry. To be successful, scientists need to master both domain expertise and data science skills to solve practical problems.

This minor targets students with analytical ambitions in their domain of studies and offers a learning path for applying data management, programming, analytics, and visualization techniques, and how to employ these for big data discoveries or artificial intelligence based projects. Students will learn Python and R through hands-on practice and project-based learning experiences grounded in real-world data from the Wageningen domains.

Learning Outcomes
After successful completion of this minor, students are expected to be able to:

-Employ a data lifecycle approach to organize their data
driven research;
-Identify appropriate analysis techniques when confronted with new datasets and questions;
-Design and implement databases for applications in the WUR domain;
-Write efficient and well-documented computer programs;
-Apply and evaluate relevant visualization and quantitative data analysis
methods;
-Communicate research findings by data storytelling;
-Understand the basic principles, techniques, and applications of artificial intelligence;
-Consider broader issues related to data collection, processing and
dissemination, including licensing and privacy issues.

Language of Instruction
English

BSc Data Science Minor Coordinator
Dr.ir T (Tarek) Alskaif
Email: DataScienceMinor.inf@wur.nl

Target Group
This minor is relevant for all BSc programmes. For students already having Python knowledge (like the BAT-students) we propose INF-36306 “Artificial Intelligence” as a replacement for INF-22306.

For information on Minors see also https://www.wur.nl/en/Education-Programmes/BSc-Minors.htm.