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Data Science Capstone
Create industry-level data science projects to showcase in your professional portfolio
Qualification
Duration
Commitment
Skill Level
Delivery
Start Date
Led By
Features
Value
Showcase your expertise
Your journey in data science culminates with a series of capstone projects that bring together everything you’ve learned. You’ll be tasked with solving real-world problems using advanced analytics, machine learning, and data visualization. Each project is designed to showcase your ability to integrate data science principles with practical business solutions, creating a portfolio that highlights your skills and expertise. This is your chance to demonstrate your readiness for the professional world, proving to potential employers that you have what it takes to succeed in the competitive field of data science.
The U of U // Flatiron School difference
Be mentored by a world-class data scientist
Train on industry-standard software and gain production experience
Small group classes (max 5 students)
100% online programs
Career services built-in
Career services is included with each capstone and bootcamp program. Designed by and for tech professionals, you'll experience a full technical interview process from start to finish, getting direct and personalized feedback each step of the way. Visit the career services page to learn more about the full process.
Prerequisites: Data Science Essentials, Data Science Foundations I, Data Science Foundations II
Curriculum
Showcase your skillset
Data Science Capstone - 15 weeks
In this intensive course you will be tasked with developing 3 different projects. In these projects you will be expected to frame your projects around solving a business problem. You will be expected to bring all your skills from foundations together to build 3 different methods; a regression model, a classification supervised mode, and a classified unsupervised model.
What you'll do:
- Integrate data science process using at least one method of regression
- Integrate data science process using at least one method of non-regression supervised learning
- Integrate data science process at least one method of non-regression unsupervised learning
Tuition
Upfront - Save 8%
$5,200
Pay as You Go
$5,700
3 monthly payments of $1,900
FAQs
Yes. The AI & Data Science Certificate (Part-Time) is designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building AI fluency at a sustainable pace. It’s built for working professionals who want to upskill into AI and add technical depth to an existing career without stepping away from their current role.
Flatiron facilitates the employer match. You’ll work approximately 20 hours per week in a production-aligned environment alongside your coursework. Apprenticeships are paid and supervised by a workplace supervisor.
If you have production coding experience – frontend, backend, or full-stack, and you feel the pressure of AI reshaping what it means to be a strong engineer, you likely qualify. This isn’t a beginner course; it’s a rigorous upskilling path for engineers who don’t want to lose momentum. Speak with an Admissions rep to confirm. If you don’t have that background, the Work-Integrated: AI Engineering Immersive is the right work-integrated option for you.
Most programs have no prerequisites. You just need to be 18+, have a high school diploma or equivalent, and have English proficiency. Whether you’re a recent grad, someone transitioning from a non-technical field, or a working professional looking to pivot, you’re eligible. The one exception is the Accelerated AI Engineering Immersive, which requires existing software engineering experience (midlevel or higher) because it’s built for engineers who are already in production environments.
Certificate programs are purely educational. You learn, build a portfolio, and graduate ready for the job search. If you’re entering the workforce or transitioning from a non-technical field and want a clear, structured path, this is for you. Work-integrated programs combine coursework with a paid apprenticeship, so you gain work experience and income during the program. This is a strong fit for professionals who need income continuity during a pivot, or experienced engineers who want production AI exposure from day one. Both award the same professional certificate upon completion.
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