Applied Data Science and AI: Master's Degree
Data science and AI are transforming our industry and society. That makes foundational knowledge in programming, mathematics, statistics, and data more important, not less. The University of Denver's Master's in Applied Data Science and AI prepares you to move from raw data to reliable analysis, machine learning and AI applications.
You'll build skills in Python, software development, statistics, databases, machine learning, deep learning, data visualization and emerging AI methods while learning how to evaluate models, communicate results and apply technology responsibly.
Whether you're advancing an existing technical career or moving into data science and AI from another field, you'll build the technical foundation to do more than use AI. You'll learn how to understand, evaluate and build with it. See what sets our program apart, where our alumni are, and enroll today.
Program at a Glance
We offer in-person and online courses to accommodate your lifestyle and learning preferences. Our flexible approach allows you to effortlessly transition between on-campus and online classes, enabling you to pursue advanced education without sacrificing your other commitments. Start your application process today.
Start Dates: Fall (Sept.) or Winter (Jan.)
Curriculum: 36-48 Credit Hours (transfer up to 12 credits)
Term Length: 10 weeks
Format: Hybrid or Online
Admission: No GRE or GMAT
Duration: 18-24 Months
Tuition: $30,924 to $41,232
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Contact Enrollment Advisor Kevin Alt for more info.
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Kevin Alt |
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Flexible
Flexible Learning Pathways
Our hybrid schedule ensures a seamless transition between online and on-campus learning. We have a fully online option for those who prefer virtual learning. Customize your degree with innovative elective courses for personalized skill development.
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Accelerated Program Length
Fast-track your degree by transferring up to 12 credits from industry certifications. Save time and money while boosting your career with certifications like Oracle, that can be substituted for select courses.
See List of Transferable CertificationsIndustry and Career-Focused
Learn from Leaders
Learn from experienced faculty, including academics, data science leaders, innovators and executives across a range of industries.
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Industry-Aligned and Applied Content
Our courses integrate data engineering, AI modeling, and neural networks, aligning with real-world scenarios, current industry standards and trends.
Personalized
Experiential Learning
Gain real-world experience with our optional for-credit internship feature. Build a project-based portfolio to showcase your skills and benefit from career services, including coaching, job search support, networking, and workshops.
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Personalized Student Support
Your academic advisor will help you craft your career-focused academic plan, offering support with academic and administrative matters throughout your journey.
Diverse and Inclusive Community
You’ll benefit from a diverse community of faculty and students committed to equity, inclusion, diversity and justice and representing a wide array of perspectives and experiences.
84% Of our alumni work in the US
20,800 Data Science job openings
$112k Avg. median salary of Data Scientists
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Contact the Data Science Team
Kevin Alt
Graduate Enrollment Manager, Cybersecurity, Systems Engineering, Data Science and AI
Luke Sawle
Assistant Professor of the Practice, Data Science and AI
Faculty Director, Data Science & AI
