3030 Jul JunStudy information
Wondering what it's like to study Health Food Innovation Management at Campus Venlo? Join our student for a day-event!
618 Nov MayStudy information
This will help you find out whether University College Venlo is right for you. The student who accompanies you will also give you an accurate impression of the Venlo student life.
119 Feb Apr 00:00
During a Student for a Day activity you will join one of our first year bachelor’s students during a “normal” day at the Department of Data Science and Knowledge Engineering. You will follow the regular programme of that day, to see if the study is the right fit for you.
Students, staff and alumni from Maastricht University, as well as friends from the industry, coming together in a 24-hour hackathon to celebrate free thinking and enthusiastic doing.
6 Mar 10:00
Containers have emerged in the Cloud and made it possible to utilize hardware infrastructure in the most flexible and efficient way. Containers make it possible to run whole application stacks from a single configuration file. The Institute of Data Science is already making use of this container infrastructure and we would like to share our knowledge.
15 Mar 11:00
- 16:30Study information
UCM Experience Days are designed for prospective students interested in the Liberal Arts and Sciences programme of University College Maastricht.
15 Mar 14:00
To understand main trends in blockchain development with regards to developing distributed applications, data flows in processing and research and data privacy issues.
6 Apr 12:00
Maastricht Science Programme organises a particle physics masterclass. After an introduction and a crash-course in physics at the smallest scales, we will try to understand processes that were of great importance in the early universe.
926 AprStudy information
If you are curious how a normal day at the Maastricht Science Programme looks like, join a student and see for yourself if the programme fits you.
12 Apr 09:30
This comprehensive workshop will be your guide to learning how to use powerful machine learning algorithms.
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