Remote Data Science Bootcamp student

Remote Data Science Bootcamp

Join our intensive remote Data Science course and learn all the relevant tools and technologies to become a Data Scientist in 12 weeks from anywhere in the world.

Apply now



12 Weeks





Program overview

Learn the most in-demand skills

We’ve carefully designed our curriculum to contain the most up-to-date tools currently in-demand on the job market.

Develop your own portfolio

For 3 months, you will have the chance to work on different projects and to showcase your work to potential employers.

Apply what you learned

For the last 4 weeks, you will work together in small teams on your final Capstone project, allowing you to put into practice the key learnings from the teaching weeks. The program ends by presenting your work in front of a large audience on the final evening.

Career support

Your success is our success! We are here to work with you on finding your dream job. We will coach you, share tips and tricks on the job search strategy, give you advice for your next job interview, and connect you with potential hiring companies.

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: Mo - Fr, 09:00 - 18:00

Apply by
Course dates
07. Jan 22
07. Feb 22 - 29. Apr 22
EUR 10'800
Reserve your spot until 07. Dec 21 and get EUR 950 off.
Reserve your spot until 07. Dec 21 and get EUR 950 off.

Schedule doesn't fit your needs? Check out our Part-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












Schedule doesn't fit your needs? Check out our Part-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 morning 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 clearly sets us apart from other Bootcamps is that we organize REAL projects with REAL companies. We do not rest when it comes to finding companies who can provide exciting projects for you and your course mates. This gives your portfolio a big push, and you wouldn't be our first student who might get hired by one of these companies after the project. Also, we are not shy! If you are interested in a particular company, we are very happy to contact them to see whether we can start a project together.

Final projects

How your final project could look like


Energy loss due to soiling in photovoltaic plants for Nispera

Data Science

Project by: Daniel Gisler, Dave Lonsdale, Konstantinos Kirtsonis

More info

Targeted advertisement for Advertima

Data Science

Project by: Sarah Krumulis, Matthieu Bornet, Olena Levchun

More info

«Hello CARU!»

Data Science

Project by: Juhyun Schöbi, Guillaume Azarias, Christophe Bousquet

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

Karolin Franke

Karolin Franke

Data Science

"I had my eyes set on working for a certain company. SIT Academy reached out to them regarding a final project and I’m now a Data Scientist there!"

BeforePharma Intern

AfterData Scientist at Ava Women

Linda Maria De Cave

Linda Maria De Cave

Data Science

"The instructors had amazing backgrounds in famous companies such as Google and LinkedIn, always able to stimulate my interest and to answer my questions."

BeforePost-Doctoral Researcher Mathematics

AfterData Scientist at eBay

Michal Ziemski

Michal Ziemski

Data Science

"An invaluable and life-changing experience! It never gets boring and keeps satisfying the never-ending appetite for knowledge."

BeforePostdoctoral Researcher Biology

AfterAI Engineer at

Financing options

Bildungsgutscheine - Available from December 2021!

SIT Academy’s Bootcamps will soon be certified, and you will be eligible to receive Bildungsgutscheine from the Bundesagentur für Arbeit (or Job Center) and learn to code entirely for free.

Bildungsgutscheine will be applicable for the following courses:

  1. Full-Stack Development Bootcamp (Munich)
  2. Full-Stack Development Bootcamp (Remote)
  3. Data Science Bootcamp (Munich)
  4. Data Science Bootcamp (Remote)

Requirements to get a Bildungsgutschein:

  1. You need to be registered as a resident in Germany
  2. And be registered as unemployed at the Agentur für Arbeit or Job Center

Study first and pay later with CHANCEN eG!

With the Income Share Agreements (ISA), you can focus on the Bootcamp, while CHANCEN eG takes care of your tuition fees. Once you start working in a company or found your own startup, you start making income-based repayments over a 5-year period. You will find more information regarding the repayment here or in the FAQs.

How to apply?

  1. Submit your online application to SIT Academy.
  2. If your interview with SIT Academy is successful, you will be able to apply to CHANCEN eG for the ISA application.
  3. If your interview is successful with CHANCEN eG, you will sign a financing contract with CHANCEN eG.
  4. You are all set to start your 3 months journey with SIT Academy!


  1. You need to be registered as a resident in Germany
This financial aid solution is applicable for our full-time Bootcamps in Munich and Remote. Please read our FAQs to see which nationalities are supported.

We've got your back!

We like giving you individual attention, which is why you will have several one-on-one sessions throughout the Program to speak with our program manager or one of our instructors.

We support you to find your next dream job

  • Individual progression sessions
  • One-to-one sessions with career advisors
  • Cover Letter and CV writing sessions
  • Sending your CV to our network of hiring companies
  • In house events such as our Hiring Day
  • Opportunity to collaborate with companies on a project




Team Member

Cesar Ilharco

Advisor & Instructor
I’m curious and I enjoy exploration: have yet to live in a city for more than 5 years. I studied App...
Team Member

Dr. Eric Weber

Advisor & Instructor
Previously at LinkedIn, I am now the GM of Experimentation and Data Science Leader at Yelp. My passi...
Team Member

Sekhar Ramakrishnan

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

Andrea Meier

As a statistician in the medical sector, I am very happy to convey a solid knowledge in statistics t...
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

Eduardo Vioque-Martínez

I enjoy discovering hidden patterns in data, constructing narratives on findings, and ultimately dev...
Team Member

Dipanjan Sarkar

Dipanjan (DJ) is a Data Science Lead at Applied Materials, leading advanced analytics efforts around...
Team Member

Dr. Nitin Kumar

As a Data Scientist with more than a decade of experience in data mining, pattern recognition, and p...
Team Member

Dr. Pavlin Mavrodiev

Once a software and electrical engineer, Pavlin has been fully immersed into the field of big data...
Team Member

Badru Stanicki

Data Science Program Manager & Instructor
With a Masters in Physics, Badru got into scientific programming and data science during his time at...

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