The practicum strives to bridge education, theory and practice in data projects. Students learn to analyse, enrich and visualize data. Furthermore, students learn to reflect on the choices they make and to place their findings in the right context.|
Practicum I introduces data analysis skills and gives students the basic toolkit for any data project.
In Practicum II, the student specializes and carries out their own research project in a group setting.
Priority rules apply to this course. Make sure you register for this course before June 14, 12.00 noon to be considered for enrollment.|
The following students are guaranteed a place:
• BA Media en cultuur / Media and Culture;
• BA CIW;
• TCS or LAS;
• pre-master’s students.
Other students will be placed by means of random selection.
Data play a growing role in our society; humans and machines generate more and more data that are stored better and are more often available. This data supply, combined with innovative research methods offers fascinating possibilities for researchers and students. Utrecht Data School (UDS) is a research platform and a course that offers an inside in the possibilities and the risks of data research.
UDS brings together students and researchers from different disciplines, experts in the field of data analysis and speakers from different organizations where data practices play a role. By doing so, we try to show the different sides of working with data and allow students to learn from these disciplines. Furthermore, students experience what it’s like to work on data projects and learn based on practical examples how to reflect on the decisions they face in their own research.
During the UDS Practicum I, students are trained to work with the latest tools for data research. In ten weeks, they are trained to work with these tools, reflect critically on data practices and make analyses and visualisations. During the course, they work on a portfolio that demonstrates their data skills.
Following the UDS Practicum I, students can follow UDS Practicum II. During this practicum, students work with the basis they learn to set up a data project of their own. The second Practicum introduces a few new skills (network analysis, text analysis) and asks of students to apply the skills from Practicum I.
Practicum I is required for participation of Practicum II.