Course overview of the pre-Master Data Science
We are working on solutions for hybrid education that will take place online and on campus. Therefore the instructional modes, number of exams, the form of the exams and/or assignments may change. You will be informed through Brightspace in case of changes. The course information in the Course guide provides an indication of what you can expect in the course.
The pre-Master's Data Science prepares students for enrolment in the Master's Computing Science, with a specialisation in Data Science. The programme is compiled of courses in the field of mathematics, data mining, and general computing or academic background.
The pre-master programme for 2020-2021 has been defined as follows (see below). The course NWI-IBC043 Introduction to Academic Writing and Research Methods has been moved to Q2, which makes for a more balanced programme.
For questions about the pre-Master, please contact study advisor Perry Groot.
|Pre-Master's programme: Data Science
|NWI-IBC043 Introduction to Academic Writing and Research Methods
SOW-BKI135 Introduction Artificial Intelligence A
|NWI-IPC017 Matrix Calculation
SOW-BKI124 Linear Algebra for AI
|NWI-IPK001 Introduction to Formal Reasoning
|NWI-IBI008 Data Mining