Course overview of the pre-Master Data Science
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 2019-2020 has been defined as follows (see below). There have been some changes in comparison to last year's programme, caused mainly by the fact that some bachelor courses that were included in last year's programme have moved to another quarter. As a result of this, they could not be included in this year's programme, and have been replaced by other suitable courses that equally relevant.
If you already started your pre-master programme in 2018-2019 but did not complete all courses, please contact study advisor Perry Groot to discuss the appropriate arrangement for completing your pre-master.
Pre-Master's programme: Data Science | |
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First quarter | Second quarter |
NWI-IBC043 Introduction to Academic Writing and Research Methods (3 EC) |
NWI-IPC017 Matrix Calculation |
SOW-BKI104 Calculus (3 EC) |
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SOW-BKI135 Introduction Artificial Intelligence A (3 EC) |
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NWI-IPC021 Security (6 EC) |
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NWI-IPK001 Introduction to Formal Reasoning (8 EC) |
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NWI-IBI008 Data Mining (6 EC) |