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We are strongly committed to bringing female talent to the tech industry who are ready to make a positive impact on the field. Parallel to the technology content of our bootcamps, we are dedicated to developing female leaders, putting an emphasis on developing interpersonal skills like teamwork, leadership and project management throughout the programs. This all happens with our hands-on approach in a women & women-identified-only environment.
We have created a safe space where women can be the majority for once, giving us the space to relate with each other and find female role models.
Your attitude, motivation, drive, resilience and predisposition to work hard guarantees 90% of your success, that’s why we take our selection process very seriously. Your first application, the personal interview, the assessment and the on-boarding meeting will tell us about your capacity to find answers and also about your next career objectives. The mandatory pre-work for all courses is an excellent way to start on the right foot.
You’ll have to finish the pre-work, which ensures that everyone starts on the same page.
Yes, we do. We are an international space ready to welcome participants from different cultures, nationalities and backgrounds. Students can complete their courses on-campus in sunny Barcelona or remotely.
All of courses are 100% online, presented live, and are accessible from all over the world. Plus, they are all recorded to be viewed again later. We believe remote learning makes more sense than ever with the number of global tech companies that very often work with delocalized teams in order to access the best talent.
To join the course, you have to be 18 years old before the starting date of the course.
When it comes to learning, there is no such thing as an age-limit. We encourage you to take the time to understand new technologies and help to shape the future of the next generations.
It depends on the program you decide to join.
The Product Management, UX/UI, Data Analytics and Machine Learning courses happen two days a week from 6.30pm to 9.30pm and Saturdays from 10am to 2pm CET.
The Data Science Part-time course happens two days a week from 6.30pm to 9.30pm and Saturdays from 9am to 3pm CET.
The Data Science Immersive course requires a full-time commitment from Monday to Friday from 9am until 6pm CET.
The format and content of the bootcamps are structured for the students to learn the most that they can, so the more time you dedicate during your learning experience, the more you’ll be able to get out of it.
Apart from that, some students invest time out of the classroom to go more in-depth on what has been taught during the classes, and our campus is open for these extra hours if required.
Yes, every participant must have a laptop to participate in the bootcamp.
To make sure we can welcome participants from all over the world, all of our classes and activities are held in English. If you can keep up a fluid conversation in English, understanding and being understood, you’ll most likely have the level to succeed in the bootcamp.
Our partners and us are committed to lifelong learning, diversity, and offering equal opportunities for all women. We award scholarships based on the following criteria: women with low income; unemployed women; women taking care of children; women representing ethnic minorities; women representing gender and sexual minorities.
These scholarships are awarded on a case-by-case basis and are subject to availability. Contact us for more information.
Extra tip: For each friend you bring that is accepted into the course, you get a 10% off bonus on tuition cost that can be deducted from the total or shared with your friend.
Yes. At the end of each bootcamp, we organize a hiring fair to bring the students closer to potential hires.
If you are a company interested in participating in one of our hiring fairs and getting to know our new talents, do not hesitate write us at email@example.com to see how you can get involved. And visit our company section to discover everything that we can do together.
Always. You can send an email to firstname.lastname@example.org to talk about the best way to engage with our students.
If your company uses data science, machine learning and AI, or are in need of UX and Product Manager specialists, the 6-month internship program is an excellent opportunity for both our students and your company.
Please get in touch with us for further information at email@example.com.