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Data Science educational concept

The Data Science degree programme is following a completely new educational concept: you can adapt the course to your own preferences in terms of content, location and timing.

Your benefits at a glance

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navigate! - continuous support during your studies
Our self-determined approach places high demands on your personal responsibility and motivation. With our newly developed program navigate! you will receive continuous support during your studies. With the accompanying coaches, the so-called navigate!, you can reflect together on your learning process. The navigate! supports you closely during the navigation through the course of studies, for a good overview and successful guidance to your destination - the Bachelor in Data Science.

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Flexible studies
By consistently focusing on the acquisition of competencies instead of attending modules, this course offers you a high degree of freedom. Together with your navigate!, you define your personal learning goals and determine when and how you will achieve them. This allows you to tailor your studies entirely to your interests and to have existing competencies tested and credited directly. This means that we do not check whether you have attended a course, but which competencies you have acquired - by looking at your approach, your results and their presentation.

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Learning as a social process
A network always knows more than an individual. This is why you learn from and with one another on the course. Our educational method therefore deliberately deviates from the models offered by distance learning universities, with teamwork with students, the involvement of experts in the field and external networking as its key pillars.

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Question-focused learning
Conventional educational methods provide answers before a question has even been raised. This is not the case in the Data Science degree programme, where questions are asked before answers are given. The natural way. Are these fluctuations in the measured values alarming? What might this customer want to purchase next? Is there a pattern that can be derived from this patient data? We turn these questions into projects, which you work on independently or in a team. This way, you acquire not only knowledge of the subject, but also a multitude of practice-related skills.

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Tapping into
Throughout the course, you make use of digital tools such as a virtual library with curated content, a modern dashboard with your learning path and learning progress and your own platform for uploading your projects and other work. Using digital communication and collaboration tools as well as a range of online resources will put you in good stead for the digital workplace.


navigate! - continuous support during your studies

Our self-determined approach places high demands on your personal responsibility and motivation. With our newly developed program navigate! you will receive continuous support during your studies. With your coach, the so-called navigate! you are continuously accompanied. Together you reflect on your learning process. The navigate! accompanies you closely during the navigation through the course of studies, for a good overview and the successful steering to the destination port - the Bachelor in Data Science.

Study time models

The Data Science course can be completed on a full-time or a purely part-time basis. It is also suitable for people who are looking to change their career and who have an interest in data-driven processes and interdisciplinary computer science subjects. We offer a wide range of support for subject-specific and personal issues.

Education reinvented!

“Nowadays, knowledge is available in all places at all times. In everyday working life, however, the ability to correctly assess and categorise this knowledge is key, which is what we focus on in our new educational concept.”

Dr Norma Graf, Head of the Data Science degree programme

Data Science at the School of Engineering 

With the Institute for Data Science, we have many years of expertise in handling, processing and representing information derived from data. This expert knowledge is incorporated directly into various different educational and continuing education courses in Data Science.

FHNW School of Engineering, Brugg-Windisch

FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Engineering Klosterzelgstrasse 2 CH - 5210 Windisch
More information about the location
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