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Bachelor’s programme in Data Science

"Due to digitization and the increasing importance of data, more and more experts are being sought to generate added value from data. You learn the necessary skills at the ZHAW."

Data Science student Silvan Buff

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Reasons to enrol for a BSc in Data Science

The Bachelor’s programme in Data Science of the ZHAW School of Engineering is the right choice if you...

Film about the Bachelor’s programme in Data Science (in german)

At a glance

Degree: Bachelor of Science in Data Science UAS Zurich
Workload: 180 ECTS credits
Duration:  6 semesters (full-time), 8 semesters (part-time)
Study models: Full-time and part-time studiespractice-integrated Bachelor’s programmeinternational profile
Modules in English: Fall semester(PDF 521,5 KB)Spring semester(PDF 513,4 KB) (for more information please visit International Office)
Start of programme: Autumn
Application deadline: 30 April
Location: Winterthur
Language of instruction: German
Semester fee: CHF 720 per semester plus additional study costs
Consecutive degree programmes: Master of Science in Engineering (MSE)
Admission: Admission Requirements


Curriculum content, Bachelor’s programme in Data Science

The Data Science programme covers all aspects from data acquisition, data editing and data analysis to data-based machine learning, to the visualisation and implementation of data products. Advanced aspects such as the responsible handling of data are also part of the curriculum. In the final study year, a wealth of elective modules allows for the application of these fundamentals in the context of various specialised fields and sectors.

You will acquire both expert skills in basic disciplines such as computer science, statistics and mathematics, and the broad and interdisciplinary domain knowledge to develop innovative data products.


Study models

In this Bachelor’s programme, you can choose to study full time and graduate after three years, or part time, with a minimum of four years until graduation. If you choose a work-study track, we recommend your employment does not exceed three days a week during the semesters.

For students with an academic baccalaureate, we also offer the practice-integrated Bachelor’s programme which combines work experience with a four-year study model.

The Data Science programme is also available as an international profile. Among other things, it includes attending English-taught specialised modules and an extensive stay abroad. Irrespective of this scheme, you will have the opportunity to attend an exchange semester at one of our partner universities during the Bachelor’s programme.


Practical relevance

The Bachelor’s programme in Data Science stands for high practical relevance. Already in the first semester, you will be able to apply the learning content in practical projects. In the specialisation project or Bachelor’s thesis that conclude the programme, you will independently explore current topics and problems, often in collaboration with a company.

The lecturers of the Data Science programme are also engaged in research and development projects. They continually incorporate the insights drawn from these projects, which are generally joint endeavours with business partners, in their classes.

“Data is considered the oil of the 21st century. Now, we need to refine this oil. The Data Science programme sets out to do just that: it builds the foundation for new specialists who then derive added value from acquired data with suitable tools, algorithms and methods.”

Carmelo Iantosca, Chief Data and Analytics Officer, AXA Winterthur

Student for a Day

Would you like to get a feel for student life and learn more about the Bachelor's degree programme in Data Science? Have you already given your future study path a lot of thought but would still like more first-hand information to make your final decision? The “Student for a Day” programme offers you the opportunity to join a ZHAW student for half a day and attend lectures or observe an internship, get to know the campus and ask questions about the study programme.