Q4
EIT_Data Science entry point (2IMC93) 2023
In this meeting the student gets insight into the study program.
EIT_DS exit point (2IMC98) 2023
In this meeting the student gets insight into the study program.
DBL Data Challenge (JBG030) 2023
The objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier in the Data Science program with insights gained in methodological courses.
Capita Selecta Process Analytics (2IMI05) 2023
This course can only be followed by permission of the responsible lecturer. People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be organized in an ad-hoc manner taking into account the interests of the student. The focus will always be on a Read More …
BDMA (2IMC99) 2023
In this meeting the student gets insight into the BDMA study program.
EIT_Data Science entry point (2IMC93) 2022
In this meeting the student gets insight into the study program.
EIT_DS exit point (2IMC98) 2022
In this meeting the student gets insight into the study program.
DBL Data Challenge (JBG030) 2022
The objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier in the Data Science program with insights gained in methodological courses.
Capita Selecta Process Analytics (2IMI05) 2022
This course can only be followed by permission of the responsible lecturer. People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be organized in an ad-hoc manner taking into account the interests of the student. The focus will always be on a Read More …
BDMA (2IMC99) 2022
In this meeting the student gets insight into the BDMA study program.
JBG030 DBL Data Challenge
The objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier in the Data Science program with insights gained in methodological courses. In the first Data Challenge 1, students will get the possibility to apply the methods and techniques acquired during the Read More …