Data Science & AI Bootcamp and Residency Programme
- Get applied experience through our remote, work placements
- Graduate in 10 weeks or 7 months, online full- or part-time
- Study alongside the best—senior instructors, small cohorts
how it works
Our Data Science & AI Residency Programme
- Gain experience in programming, machine learning, AI, data infrastructure and visualisation through a flexible full- or part-time course
- Guaranteed Industry Experience: Apply your skills in a 3-month, part-time remote placement with a real organisation, gaining hands-on experience in data science and AI projects
While many bootcamps offer short ‘career weeks’ or mock projects, we believe that the best way to prepare for a tech career is by working with a real company on a real project.
Our Residency Programme allows participants to collaborate with industry professionals, gain mentorship, and develop critical soft skills like teamwork and communication—all while reinforcing the technical skills they learned during the bootcamp.
Students are selected based on availability of placements. Limited seats.
curriculum
The Technical Skills You'll Gain
CodeOp’s Data Science and AI Bootcamp helps women+ with backgrounds in STEM, programming, finance and/or business intelligence learn the latest AI and data science tools—ensuring you’re equipped to contribute to critical conversations and innovations in these fields.
Mandatory precourse work
To ensure you’re fully prepared to hit the ground running, all admitted students must complete mandatory precourse work before starting the bootcamp. This self-paced preparation covers essential topics like Python programming, SQL for data querying, Git, and foundational concepts crucial for your success.
You’ll receive access to the materials after admission, along with clear instructions for submission. Proof of completion is required before the bootcamp begins — this ensures that everyone enters the programme with the knowledge they need to thrive.
We recommend dedicating sufficient time to these materials to build confidence in your skills and maximise your learning experience.
Building your coding foundation
The tech industry is evolving rapidly, and efficient use of development environments like Jupyter Notebook and tools like GitHub are critical to managing projects and collaborating in remote teams.
Foundational programming skills in Python remain essential in data science, machine learning, and automation—skills that continue to be in high demand across industries.
Learning Objectives & Outcomes
- Build scripts and automation tools to streamline data-related tasks.
- Develop reproducible workflows using Jupyter Notebook.
- Manage projects effectively with version control tools like Git and GitHub.
Potential Job Roles
- Research Assistant
- Python Developer
- Data Analyst
- Junior Data Scientist
- Machine Learning Engineer
Data Management: Organising, Storing & Accessing Data
With the explosion of data-driven decision-making, businesses increasingly rely on insights drawn from data exploration. Companies need professionals who can explore datasets, detect trends, and generate insights to guide strategy.
Learning Objectives & Outcomes
- Design and manage relational and non-relational databases.
- Extract, clean, and analyze data for business insights.
- Manage cloud infrastructure for scalable data solutions.
Potential Job Roles
- Database Administrator
- ETL Developer
- Data Engineer
- Cloud Data Engineer
Discover Insights: Exploring Data for Smarter Decisions
Learning Objectives & Outcomes
- Perform descriptive statistical analysis to uncover patterns and trends.
- Use Python libraries like Pandas and Matplotlib to create meaningful visualizations.
- Contribute actionable insights to marketing, finance, and product development teams.
Potential Job Roles
- Database Administrator
- ETL Developer
- Data Engineer
- Cloud Data Engineer
Tell Compelling Stories with Data: Visualization Techniques
Data storytelling is a vital skill as companies seek clear, impactful visualizations to support decision-making. Effective visualizations improve communication between technical and non-technical stakeholders.
Learning Objectives & Outcomes
- Build interactive dashboards to present complex insights.
- Use data storytelling techniques to support business decisions.
- Develop visually appealing and informative reports.
Potential Job Roles
- BI Analyst
- Product Analyst
- UX/UI Researcher
- Data Analyst
- Data Scientist
Understand the Science of Why: Learn to Design and Analyze Experiments
As businesses increasingly rely on data to make informed decisions, knowing how to design controlled experiments and analyze causal relationships is essential. Industries like e-commerce, healthcare, and marketing actively use A/B testing and experimental frameworks to improve user experience, pricing models, and product design.
Learning Objectives & Outcomes
- Design controlled experiments to test product features, marketing strategies, or process improvements.
- Analyze data to understand what truly drives certain outcomes.
- Apply A/B testing frameworks to improve website performance, conversion rates, and customer engagement.
Potential Job Roles
- User Experience (UX) Researcher
- Decision Scientist
- Product Analyst
- Data Scientist
- AI Consultant
Leverage AI in your projects
AI adoption continues to accelerate across industries, with machine learning models driving innovations in healthcare, finance, marketing, and more. Skills in supervised, unsupervised learning, and advanced techniques like NLP and neural networks are highly sought after.
Learning Objectives & Outcomes
- Build predictive models to forecast trends or customer behavior.
- Develop recommendation systems, fraud detection algorithms, and sentiment analysis tools.
- Implement solutions that automate complex decision-making processes.
Potential Job Roles
- Machine Learning Engineer
- NLP Engineer
- Data Scientist
- Computer Vision Engineer
Bring it all together with two Data Science Projects
During the programme, you’ll complete two key projects that put your skills into action. In the first project you’ll work individually to build a proof-of-concept, applying the full data lifecycle — from data acquisition to analysis — and present your findings to both technical and non-technical audiences.
In the second project you’ll work in a distributed team environment, on a project that emphasises teamwork, deployment, and project management best practices.
Learning Objectives & Outcomes
- Design and execute a complete data science project, from data acquisition to final presentation.
- Develop strong storytelling skills to present insights to technical and non-technical stakeholders.
- Collaborate effectively in distributed teams using advanced GitHub techniques and project management tools.
- Gain experience deploying data models and working on scalable solutions in real environments.
Real-world experience with industry partners
The 3-month, part-time remote residency (10 hours/week) provides hands-on project experience in partnership with real organizations. Participants work on industry-relevant tasks, gaining the practical expertise hiring managers seek — all while reinforcing the technical skills learned in CodeOp’s bootcamps.
For those seeking to break into tech, this structured experience bridges the gap between learning and landing your first role.
Learning Objectives & Outcomes
- Gain valuable experience working on real-world projects with industry partners.
- Strengthen your portfolio with impactful work that demonstrates your technical and teamwork skills.
- Develop soft skills like collaboration, communication, and problem-solving — all highly valued especially in tech roles.
Meet your educational team of data science experts
how it works
Residency Programme
Our Residency Programme goes beyond traditional bootcamp training, providing hands-on experience that hiring managers value. Here’s what sets it apart:
- Real-World Projects: Collaborate with partner organizations on meaningful initiatives that build your portfolio.
- Flexible & Remote: A 3-month, part-time program designed to fit your schedule (10 hours/week).
- Career-Boosting Results: Strengthen your resume with practical experience that helps you stand out in a competitive job market.
- Guaranteed Opportunity: We align course seats with residency spots, ensuring every graduate has access to this invaluable experience.
Openings: Find Your Perfect Placement
The FAO’s European Commission for the Control of Foot-and-Mouth Disease (EuFMD) is a global organization working to strengthen public sector responses, improve agricultural resilience, and support food security worldwide. As a residency partner, EuFMD offers an exciting opportunity to apply technical skills to socially-driven initiatives, collaborate with an international NGO, and contribute to impactful projects that address global challenges.
The Autonomous University of Barcelona (UAB) is a renowned public university in Spain, recognized for its innovative research and strong focus on social impact. As a residency partner, UAB offers an exciting opportunity to apply data science and technical skills to multidisciplinary projects that drive research, education, and community initiatives — ideal for those looking to break into tech, contribute to meaningful work, or expand their academic portfolio
Gluecharm is an early-stage startup building a smart intake tool to help teams gather the right information at the start of a project. By simplifying how project scopes are created, Gluecharm is rethinking the way agencies and consultants assess client needs — aiming to save time, reduce ambiguity, and improve outcomes. As a residency partner, Gluecharm offers a hands-on opportunity to contribute to a product in beta, shape the user experience, and build solutions at the intersection of design thinking, product development, and client collaboration. Perfect for those excited by early-stage innovation and real-world problem solving.
Jobbyo is an early-stage startup using AI to reshape how people discover and navigate career opportunities. Focused on eliminating guesswork and bias in the job search, Jobbyo is building tools that connect individuals with roles that truly fit — based on skills, preferences, and potential. As a residency partner, Jobbyo offers a fast-paced, mission-driven environment where you can apply technical skills to real user problems, contribute to product development, and help redefine the future of work. Ideal for those excited by startups, ethical AI, and impact-driven innovation.
W-Focus is a global innovation consultancy that empowers organizations to thrive in an ever-evolving digital landscape. With a strong emphasis on strategic foresight, gender equity, and inclusive innovation, W-Focus partners with companies, governments, and NGOs to design transformative solutions for systemic change. As a residency partner, W-Focus offers an inspiring environment for applying data, tech, and design thinking to real-world challenges — perfect for those passionate about social impact, sustainable innovation, and future-oriented work.
COurse Schedule
Your Learning, Your Pace — Choose What Fits Best
Live, online learning with colleages from around the world.
Full-time
Go all in with our 10-week full-time course, Monday to Friday from 9:30 to 18:00 (CET)
Part-time
Take a balanced approach with our 7-month part-time option, studying two nights a week from 18:30-21:30 (CET)
Admissions
How to apply to our Data Science & AI Residency Programme
Our application process is selective, with residency placements tied to available partner opportunities to ensure each participant gains meaningful, real-world experience
1
Prepare and Reflect
Before diving in, take time to check in with yourself and your support system. Committing to this journey requires time, energy, and the emotional resilience to push through intellectual challenges.
Don’t rush into a bootcamp — but if this has been on your mind for a while, trust that inner voice. It may be telling you that something great is waiting for you.
2
Submit an Application
Once you submit your application, our team will carefully assess your candidacy. As this is a competitive process with limited spots, we will not be able to accept all applicants. If we believe there’s a potential fit, we’ll invite you for an interview; otherwise, we’ll let you know.
3
Pass our Assessment
Our assessment process evaluates key qualities that indicate your readiness for the program. We look for strong communication skills, emotional maturity, a solid work ethic, and critical thinking abilities.
For Data Science applicants, we also require some background in STEM, programming, finance, or business intelligence to ensure you’re equipped to thrive in the curriculum.
4
Admissions & Enrolment
Typically within a week, we’ll inform you if you’ve been accepted into the programme. To secure your spot, you’ll need to sign a student and residency programme agreement and submit a downpayment.
Once your downpayment has been received, we’ll provide you with your mandatory precourse work to help you prepare for the programme.
PRICE & FINANCING
Benefit from our flexible, payment options
We offer flexible payment options, allowing you to break up tuition into smaller payments throughout the course. Depending on your location, you may also qualify for low-interest financing plans to help manage costs.
Remote (Live online)
€6800
including €1000 deposit
- €800 discount when paid upfront
- Break-up the cost of tuition
- Low-interest financing options available
FAQ
Our answers to common questions
When does the next course start?
We schedule courses based on available residency placements, which can vary throughout the year. On average, we offer around six courses annually, with the next cohort starting in Spring 2025.
How much does the course cost?
The Full Stack Development Bootcamp costs €6800, with a €1000 non-refundable downpayment required to reserve your seat.
Do you offer scholarships or financing plans?
While we no longer offer Income Share Agreements (ISAs), you can break up the cost of tuition over the duration of your course. If you choose to pay upfront, you’ll receive an €800 discount. CodeOp also offers partial and full scholarships from time to time — be sure to sign up for our newsletter to stay informed about upcoming opportunities.
Am I too old or young to apply?
You must be at least 18 years old at the start of the course to be eligible. Our students typically range in age from 18 to 56, with an average age of 30.
Do I need to have a technical background to get into the course?
Unlike our Data Science course, our Full Stack Development course does not require a technical background. CodeOp Full Stackers come from a diverse background including education, marketing, translation, law, fashion, and retail. This course was build to support women+s’ entry into tech.
What types of companies participate in the Residency Program?
We partner with a wide range of organizations, including educational institutions like UAB, international NGOs such as the FAO at the United Nations, early-stage startups, and small businesses. While you can share your preferences, the final placement decision is made by the company and our team.
Will I get paid during the Residency Program?
No, the residency placement is unpaid. It’s an educational opportunity designed to help you strengthen your skills, gain real-world experience for your CV and portfolio, and expand your professional network.
Will I be guareented a job through the Residency Program?
No, the residency program does not guarantee a job — although we’ve seen it lead to job opportunities for some participants.
Do I have to do the Residency Program if I sign up for the bootcamp?
No, participation in the residency program is optional. However, we highly encourage it as a valuable opportunity to strengthen your skillset. If you choose to opt out, you must inform the admissions team before the course start date so we can allocate your spot to another student. Please note that the course fee remains the same regardless of participation.
Are the courses only for women, trans or nonbinary people?
Yes, this course is only for women, trans and nonbinary people.
What time zone are the classes taught in?
All courses are taught in the Central European Time (CET) zone.
