(including course materials, excluding external certificates and eLearning; see below)
|Lessons||300 lessons of 50 minutes
(40% in-person teaching and approx. 60% independent eLearning)
|Duration||approx. 9 months|
|Degree||Data Science NDK HF|
Are you an IT professional with analytical thinking skills looking to take on new tasks and responsibility as a data scientist? Then the Data Science NDK HF programme is ideal for you. You will learn how to correctly apply the data science methods and how to optimally use the functions, tools and programming languages for big data experts. Further learning objectives include the preparation, cleansing, analysis and visualisation of data as well as the selection, connection and combination of data sources. You should be able to do all this while respecting the Swiss data protection guidelines.
The postgraduate course in Data Science can be taken part-time and can be completed without a specialist basic training. However, an understanding of IT and basic knowledge of databases and IT systems are important. Basic knowledge of mathematics (algebra and statistics; we recommend the Mathematics Basics Crash Course as a preliminary course), basic knowledge of Excel and English, programming experience are also required. You should also have logical and analytical thinking skills.
Do you have doubts whether this training is right for you? Attend one of our “Info events higher professional education” at the various IBAW locations in Switzerland to learn more about our postgraduate course in Data Science.
This course consists of approx. 40% in-person teaching and 60% independent learning (eLearnings, repetition, two transfer papers, one case study). The majority of the eLearning units (two eLearning units at $149, 5 at $99 and 3 at $50) are based on the Harvard University Data Science training available on edX.org*.
Afterwards, you have the option of completing the Harvard Data Science Programme with the ‘Capstone Project’ by taking only two additional eLearning units*.
The language of the face-to-face classes is German, the e-learning materials are exclusively in English.
*Subject to change without notice