Overview
Recent graduate, or entrepreneur, or do you want to expand your existing skill set?
In any case, our Data Science 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. This is what makes our Data Science Bootcamp innovative and what will enable you to take the next step in your career.
Career prospects
Most of our graduates find employment in the tech industry after completing their bootcamp and receive support from our team throughout their program.
This high employment rate is a testament to the effectiveness of their approach and the quality of their services.
By providing personalized support and connecting students with industry professionals, Constructor Learning can help our students achieve their career goals and find success in the tech industry.
Programme Structure
Courses include:
- Statistics & experimental design
- Data Science toolkit
- Data visualization
- Machine Learning, I & II
- Deep Learning
- Natural Language Processing (NLP)
- Machine Learning Engineering
Audience
- Career changers looking to transition into a career in data science and may not have a background in computer science statistics/mathematics.
- Recent graduates who are looking to gain practical, hands-on experience in data analysis and machine learning.
- Self-taught analysts who want to formalize their skills and knowledge.
- Working professionals who want to upskill/transition to a data science role.
Lecturers
Learn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.
Key information
Duration
- Full-time
- 3 months
- Part-time
- 5 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
English
Delivered
On Campus, Online
- Fully structured
- Regular mandatory meetings
- Continuous support with feedback on request, Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Disciplines
Data Science & Big Data Machine Learning View 8 other Short Courses in Data Science & Big Data in SwitzerlandAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Constructor Academy and/or in your country of interest, please visit Student Insurance Portal.
Other requirements
General requirements
- Basic programming skills: the data science bootcamp require students to have some experience with programming languages such as Python. It is highly recommended to complete the pre-work material prior to starting the bootcamp. The technical interview will ensure that the candidate has the technical knowledge to participate in the program.
- Math and statistics knowledge: Data science involves math and statistics, so a good understanding of these subjects is beneficial.
- Time commitment: The duration of the bootcamp is 12 weeks, Monday to Friday 9-6, (roughly 40 hours per week)
- Strong work ethic: Bootcamps are designed to be challenging, and success requires dedication and hard work.
- Teamwork: Data science involves collaboration with others, so strong communication skills are essential. You should be comfortable asking for help, giving feedback, and working in groups.
Technological requirements
- Computer: students are required to bring their own laptops.
Tuition Fee
To always see correct tuition fees
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International
12700 CHF/fullTuition FeeBased on the tuition of 12700 CHF for the full programme during 3 months. -
National
12700 CHF/fullTuition FeeBased on the tuition of 12700 CHF for the full programme during 3 months.
Living costs for Zürich
1920 - 2572 CHF /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
This programme is taught in different countries. Which country are you interested in?
Country 1
- Germany
- Switzerland
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