Data Scientist

Data Science Bootcamp in Zurich

Become part of our community in Zurich and learn all the relevant tools and technologies you need as a Data Scientist in just 22 weeks. Join our part-time course to upskill while working 100%.

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22 Weeks





Program overview

Do you want to build on your existing skills to advance your career, learn new technologies, or get back into the workforce after a long break? In any case, our Bootcamp is exactly what you are looking for. We have carefully designed our curriculum to contain the most up-to-date tools currently in demand in the job market. In addition, our hybrid part-time format allows you to continue working 100%.

The #2 ranked Data Science Bootcamp globally

According to SwitchUp, SIT Academy is considered the #2 Data Science Bootcamp in the world.

course report award
switchup award

Upcoming dates

Schedule: Tue & Thu 18:00 – 21:00 and every second Sat 9:00 - 16:00

Apply by
Course dates
01. Feb 22
01. Mar 22 - 29. Jul 22
CHF 14'200
Reserve your spot until 01. Jan 22 and get CHF 1'000 off.
Reserve your spot until 01. Jan 22 and get CHF 1'000 off.

Schedule doesn't fit your needs? Check out our Full-Time program.

What you'll learn

We’ve carefully designed our curriculum to contain the most up-to-date tools demanded by the job market. This is what makes our Data Science Bootcamp so innovative and what will enable you to take the next step in your career.

Get ready for the course

Free Data Science intro course

Free of charge

Learn about Python, the data science project lifecycle, and practice on a real-world data science problem in this free self-paced online tutorial. By completing this course, you will gain a better understanding of the Data Science world and increase your chances of being accepted into the Bootcamp.

Estimated time to complete: 15 hours

Weekly schedule













* The course takes place every second Saturday.

Schedule doesn't fit your needs? Check out our Full-Time program.


Learn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.


Work on a set of interesting and challenging exercises related to the topics covered during the previous lecture. Practice your team-building skills by doing group projects together with your peers.

Tools we teach

For many reasons, the fastest-growing programming languages globally: its ease of learning, the recent explosion of the Data Science field, and the rise of Machine Learning. Python also supports Object-Oriented and Functional Programming styles, which facilitate building automated tasks and deployable systems. There are plenty of Python scientific packages for Data Visualization, Machine Learning, Natural Language Processing, and more.
TensorFlow is an open-source software library for Deep Learning developed by Google. Across a range of tasks, it can build and train neural networks to detect and decipher patterns and correlations analogous to the learning and reasoning that humans use. It is highly optimized to run in computational servers where task parallelization is possible.
Relational Database Management Systems (RDMS) are present in any kind of data-oriented system. RDMS are comprised of columns and rows to store data within a structured format and are a potent tool to store massive amounts of information. SQL is the language to query and manipulate data in RDMS and is, for this reason, very relevant in the field of Data Science.
Scikit-learn is the most established and developed Machine Learning library. It features various classification, regression and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. It directly interoperates with the numerical and scientific libraries NumPy, Pandas, and SciPy.
Git is a free and open-source version control system designed to handle everything from small to huge software projects (Linux kernel). It allows you to keep track of the code changes and collaborate with others on a project. You will use it daily during our Data Science course.
NumPy & Pandas
NumPy is the fundamental package for scientific computing with Python, adding support for large, multi-dimensional arrays, along with an extensive library of high-level mathematical functions. Pandas is a library build on top of NumPy for data manipulation and analysis. The library provides data structures and a rich set of operations for manipulating numerical tables and time series.
Cloud Services
More and more companies are moving to cloud computing systems. It has become the primary location for businesses to store data, train ML models, and deploy production systems. Having experience with a cloud system will make you stand out in today's job market.
PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes. It also has Automated ML capabilities to build a suite of trained models in minutes on any problem and assist with model selection and tuning.

Our instructors

One of our biggest assets is our instructors. Besides our internal Data Science team, we always bring in selected external experts from industry. These external instructors keep us in constant contact with trends and requirements in industry and allow us, as well as yourself, to build a well-established network. We really care about selecting instructors with outstanding didactic skills and constantly improving our teaching based on your feedback. Have a look at our impressive team of instructors and their diverse backgrounds.


Our capstone projects

What sets us apart from other Bootcamps is that you have the opportunity to work on real projects. In the last weeks of the Bootcamp you will work alone or in a small group on your final project. Here you can choose whether you want to work on a project for your current employer or maybe you have had an idea of your own for a long time that you wanted to implement? Then this is the perfect chance for you to get started. The final project also offers you an excellent opportunity to expand your portfolio.

Final projects

How your final project could look like


TaxJungle - Help expats choose their perfect Swiss residency


Project by: Marco Volken, Michelle Naqqar, Immanuel Jaeggi, Michal Wyszowski

More info

Using AI for automatic feature prediction from product images

Data Science

Project by: Valeria Polozun, Seth Dow

More info

Classification of NOTAMs for SWISS International Airlines using AI

Data Science

Project by: Jean Coupon

More info

Application process

Apply to the program

Send us your CV or LinkedIn profile

First motivational interview with SIT Academy

Prepare for the technical interview

Pass the technical interview

Pay a deposit to secure your spot

Complete your preparation work before the Bootcamp starts


Students say

Tiffany Carruthers

Tiffany Carruthers

Data Science

"After completing the Bootcamp, I was able to land a job through SIT’s professional network."

BeforeData Engineer

AfterData Engineer at Axpo

Lina Siegrist-Choo

Lina Siegrist-Choo

Data Science

"I can definitely say that I might not be able to achieve my career plan without joining SIT Academy."

BeforePostdoctoral Researcher

AfterJunior Data Engineer at Nestlé

Jean Coupon

Jean Coupon

Data Science

"I particularly appreciated the attention the SIT team paid to the students, during the training but also afterwards, when there is a crucial need for support to find a job."

BeforeResearcher Astrophysics

AfterData Scientist at Pictet Group




Team Member

Cesar Ilharco

Advisor & Instructor
Having yet lived in a city for more than 5 years, Cesar is curious and enjoys exploration. He studie...
Team Member

Dr. Eric Weber

Advisor & Instructor
Previously at LinkedIn, Eric is now GM of Experimentation and Data Science at Yelp. As a thought lea...
Team Member

Sekhar Ramakrishnan

I love making data speak. Visualizations combine programming and art, logic and aesthetics, to help ...
Team Member

Gerry Liaropoulos

As an experienced Data Scientist in the fascinating sector of Life Sciences, I am using a variety of...
Team Member

Dr. Mark Rowan

What drives you? For me, it's about using data to tell a story and change the world. Whether it's ne...
Team Member

Afke Schouten

Director of Studies - AI management, HWZ
Afke Schouten studied mathematics at the University of Leiden and econometrics and management scienc...
Team Member

Dipanjan Sarkar

Lead Data Scientist & Instructor
Dipanjan (DJ) is a Lead Data Science Consultant & Instructor, leading advanced analytics efforts aro...
Team Member

Badru Stanicki

Data Scientist & Instructor
With a Masters in Physics, Badru got into scientific programming and Data Science during his time at...
Team Member

Magdalena Surówka

Statistics enables you to understand the world around you. To discover new relationships, and to mod...
Team Member

Dr. Marie Bocher

Data Science Consultant
As a consultant and mentor at SIT Academy, Marie teaches Data Science topics and Python programming ...

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