Many of the Full-Stack Development participants are beginners with some or no experience, while the Data Science students may have picked up some basic programming in industry or academia. Big Data Engineering is designed for those who are experienced programmers and understand the concepts in Software Engineering.

Yes, we welcome students from around the world. We cannot, however, sponsor you for a student visa. If you're able to get a travel visa to spend 3 months in Switzerland, then we are more than happy to have you join us. Otherwise you’re free to join our programs via the remote option.

Unfortunately, we don't make the rules and it will be very challenging for you to be employed after the program. The good news is that what you learn is applicable towards a great career anywhere in the world!

Absolutely. For those interested in this option, please select it on the application form. You must be located more than 100 kms from Zurich to qualify.

None at all. You’ll be joining the in-class participants for the same program and follow via our live stream platform. You’ll get the same attention from our staff and can also choose to come to Zurich in-person for the last 3 weeks of the program.

Full-Stack Development is for those who want to be proficient in developing web and eCommerce applications. They usually come from a diverse range of industries and backgrounds. For those who have experience in a technical/quantitative field or an advanced degree in the sciences, Data Science is the best choice. Big Data Engineering is designed for those who are experienced programmers and understand the concepts in Software Engineering.

As we cater to a diverse group of students from many backgrounds, the courses are taught in English.

As this is an up-skilling program you will definitely expand your skills outside the pure database engineering domain. First, you will learn some of the most popular Hadoop technologies in big data engineering. This alone would expand your data engineering profile. Second, the modules on modelling and deployment of machine learning models will allow you to better understand your colleagues who depend on your work - the data analysts and data scientists. That ultimately will translate to better collaboration in creating an end-to-end data solution and increase your overall value to your organization.

Today's enterprise data scientists no longer need to only develop isolated models on a single laptop. Instead, they find that building end-to-end data solutions becomes increasingly important for their professional development and for ultimately generating value for their Data Science teams. Building such end-to-end data products, however, requires an extended set of skills, typically not seen as traditional Data Science knowledge. Enter the Full-Stack data scientist. He or she is not just an expert modeller, but also knows how to build reliable training pipelines and properly manage the lifecycle of their models. We at Propulsion strongly believe that the future of the data science profession will be increasingly focused on building products with measurable value, rather than on sole mastery of academic data science skills. We have, thus, designed this program to help data scientists expand their skill-set accordingly and stay relevant.

To maintain a high level of interaction and instruction, each class is limited to 16 students.

Students can expect to have different instructors, each covering a wide range of topics. There will also guest speakers from the industry who will visit the class to give short talks on particular subjects related to the program.

In addition to the instructor, there will be Teaching Assistants (TAs). They will attend class with you and be a vital resource of assistance. The other students in the classroom, with whom you’ll form a strong bond, will also be a valuable source of help and collaboration. At Propulsion, it’s all about teamwork. The success of one student translates to the success of all.

Absolutely. For the Full-Stack and Data Science programs, 12 weeks of intensive practice (40 hours in the classroom with an additional 20-30 for course work per week) will give you what it takes to step into one of these fields. For Big Data Engineering which caters to a more experienced audience, the program duration of 6 weeks is shorter but just as intensive.

Our mission is to ensure that you get the most out of our programs. For this reason, we equip you with the most in-demand skills and technologies applicable for the local market.

Yes, you'll need your own laptop. Any operating system, Windows or macOS, are fine. If you chose Windows, please install Ubuntu on your machine before starting the pre-work.

The Full-Stack program is 12 weeks long and full-time. Instruction takes place onsite at our Technopark campus.

The Data Science program is 12 weeks long and full-time. Instruction takes place onsite at our Technopark campus.

Attendance is CHF 10'900 for Full-Stack, CHF 12’700 for Data Science, and CHF 7’900 for FS Data Science including instruction, course materials, career services, ping-pong, Friday parties with all the beer you can drink!

Upon enrollment, you are required to pay a non-refundable CHF 3,500 deposit to reserve your seat in the program. You will have 5 days after signing the enrollment agreement to then pay your deposit. The remaining balance is due by the end of the second week of the program.