Codely’s curricula prioritizes a strong understanding in the foundations of computer science, iterative individual and group work that simulates realistic business problems, and rigorous training in leading industry technologies. While each course focuses on a specific technological framework, the core curriculum ultimately teaches students how to become adaptive thinkers and problem-solvers in a changing technical environment.
Codely's curriculum was developed using evidence-based learning strategies that combine scaffolding, mentoring, formative feedback, retrospectives, and project work. We make sure that your learning experience and outcome are up to industry standards.
Kick-start Your career
Our network of hiring partners will coach and link you to companies ranging from start-ups and small businesses to multinational corporations. Your success is our success, which is why we provide ongoing support even after you graduate.
Discover a Community
Access Barcelona’s hotspot for innovation: Spaces 22. At Spaces 22, you’ll have full access to regular networking events, yoga classes, an open seating plan, and an outdoor terrace perfect for breaks in the sun.
Why choose a coding bootcamp specially designed for women?
Research has shown that women who attend single-sex schools are more likely to achieve well at school, be confident of their abilities – all of which are highly advantageous in the development of their careers and in achieving their leadership potential.
Why study in Spain ?
Develop your technical profile while living in Southern Europe
Our Advisory Board
Thanks to a global and diversified network, we stay aligned with industry trends and market needs. Our global advisory network has expertise in: leadership, technical recruitment, engineering, and education.
Software Investment Advisory Senior Manager
Oracle, San Jose
Senior Software Engineer
Google, New York
Argentina Lario Lago
Scientist, PhD in Molecular Neuroscience
UCSF, San Francisco
Head of Technical Talent Acquisition
Delta Dental, San Francisco
Jesus Martinez Manso
Senior Machine Learning Engineer Planet, San Francisco