Your Guide to Pursuing a Master's Degree in Applied Data Science and AI
Explore Your Future in Data Science and AI at the University of Denver
Earning a master’s degree in applied data science and AI (MSDSAI) from the University of Denver’s Ritchie School of Engineering and Computer Science is a strategic step toward career advancement, whether you’re aiming for a promotion, seeking a new role, or making a career change.
Designed for working professionals, our flexible, customizable program allows you to earn your degree in just 18-24 months through hybrid or fully online evening courses. No matter your schedule, we make it seamless to upskill while balancing work and personal commitments.
Why Get a MSDSAI Degree at DU?
Imagine launching your career in AI and data science with the skills employers demand. The DSAI program prepares you to work in a variety of industries and roles. Our alumni work in technology, healthcare, consulting, financial services, education, and telecommunications as AI developers, data scientists, machine learning engineers, and analytics experts.
Many graduates choose to build their careers in the vibrant Denver metro area, where innovation and tech opportunities abound. According to a recent DU economic impact report, 76,000 DU graduates currently live in Colorado, with more than 22,000 residing in Denver.
“Every other student I've worked with - every faculty member, every teacher, etc. - everyone is there to see you succeed in the program."
- Master’s in Data Science student Gabor Horvath
DSAI Program Overview
At the Ritchie School, we provide a flexible, industry-aligned curriculum tailored to your professional goals. Our faculty offer hands-on learning so you can build a portfolio that showcases your expertise in data modeling, analysis, and AI-driven decision-making. With a focus on both technical expertise and career development, faculty at the Ritchie School are committed to helping you achieve your professional goals and maximize your earning potential.
Key Highlights
- Program length: 18-24 months
- Start dates: September & January
- Credit hours: 36-48 (transfer up to 12 credits for prior coursework)
- Flexible learning: Complete your degree online or in combination with in-person classes
You may also be eligible to transfer credits from certifications such as:
- AWS Certified Machine Learning Engineer or Certified Data Engineer
- DataBricks Machine Learning or Data Engineer
- Oracle Certified Foundations Associate
- Microsoft Certified Azure Database Administration Associate or Azure Data Engineer Associate
- PCEP Certified Entry-Level or Associate Python Programmer
“One of the things that makes our program special is the sense of community. It’s made up of people who are passionate not only about the field but also about teaching and learning.”
- Dr. Sean Connin, Faculty Director – Master’s in Applied Data Science and AI
Skills You’ll Develop
Your journey in the DSAI program begins with essential skills in Python, software development, mathematics, and probability and statistics for data science and AI. From there, you can tailor your learning experience based on interests or career trajectory with classes such as:
- Algorithms for Data Science & AI
- Data Visualization
- Deep Learning: Model Design & Application
- Large Language Models (LLMs) for Data Science & AI
- Machine Learning • Machine Learning Operations (MLOps)
- Parallel and Distributed Computing for Data Science & AI
Beyond technical skills, our program empowers students with critical thinking, team collaboration, communication, and problem-solving skills, all essential for success in data science and AI roles.
Want to see what your academic path looks like? Download a sample course schedule.
How to Apply
Applying to the program is simple. Here’s what you’ll need:
- A transcript from your undergraduate institution
- A current resume
- Two letters of recommendation
- A personal statement of at least 300 words.
No GRE or GMAT is required and no prior technology degree necessary.
Tuition & Aid
The DSAI program is offered at a reduced rate of $859 a credit hour, 50% less than traditional graduate programs. Tuition for the 2025-26 academic year ranges from $30,924 to $41,232.
There are several options available to help fund your degree:
- FAFSA: see if you qualify for reduced tuition
- Employer tuition reimbursement
- GI Bill benefits for veterans and dependents (link to GI bill checklist)
Need guidance? Contact our enrollment manager, Kevin Alt, to get answers to any questions you have.
Why Choose the Ritchie School?
At the Ritchie School of Engineering and Computer Science, we provide access to a curriculum aligned with industry trends. Expert faculty with experience as innovators and data science leaders; a dynamic virtual learning environment that fosters collaboration with peers and instructors; a prime location in Denver’s booming technology corridor.
“Thrilled to be a part of this program! Can’t recommend DU enough for anyone interested in pursuing or advancing their career in Data Science.”
- Ryan Davis, Current Data Science Master’s Student
Take the Next Step Toward Your Future in AI & Data Science!
Join a Top-Ranked Program & Advance Your Career
The Ritchie School’s Applied Data Science and AI master’s program is ranked 8th best online data science program in the US. (TechGuide). Start your journey with small class sizes, expert faculty, and flexible coursework designed around your goals.
Learn more about where a degree in DS and AI can take you.
Frequently Asked Questions
What are the prerequisites for admission?
Applicants need a bachelor’s degree from an accredited institution. A background in mathematics, statistics, data science, engineering, social sciences, or computer science is encouraged.
Can I work while completing this program?
Absolutely! Evening classes are designed for working professionals.
What types of financial aid options are available?
Students can apply for federal aid or explore employer tuition reimbursement options. Veterans can use their GI Bill benefits with support from our Office of Veterans & Military Resources.
Are internships available?
Yes! Our optional for-credit internship course allows students to gain hands-on experience with a variety of organizations. Previous DS graduates have interned at companies such as: NREL – National Renewable Energy Laboratory, Ernst & Young, Xcel Energy, Mayo Clinic, Regeneron Pharmaceuticals, Pax8, Nike
Are classes live or pre-recorded?
Our program features live, synchronous classes that allow real-time interaction with instructors and peers, while maintaining the flexibility of online learning. All online sessions are accessible from anywhere with an internet connection. (we generally don’t live stream our in-person classes)
