Build Data Modeling Expertise
Sharpen your skills in data modeling, analytics and decision-making to help shape the future of any business or organization. This program will show you how to transform raw data into compelling insights and master the art of narrating impactful storylines to propel organizational strategy to new heights. In the Data Science Program you will:
- Design and execute high-performing predictive models
- Analyze, interpret and generate insights
- Develop communication strategies and drive decision-making
Accelerate Your Career
Drive your career with the University of Denver's MS in Data Science. Elevate your expertise, boost earning potential and position yourself for advanced roles. Whether you're deepening your data science knowledge, transitioning careers or starting anew, our program equips you with the skills to achieve your goals.
Flexible Online or In-Person Programs
Flexibility meets choice in the MS Data Science Program. Enroll in the online program for maximum flexibility or embrace in-person classes to deepen networking opportunities. Whether you're advancing your career part-time or diving into full-time study, our program allows you to shape your path on your own terms.
Talk to an Admissions Manager
Kevin Alt
Graduate Admissions Manager
Federal financial aid is available-please contact Kevin for more information.
Contact Kevin at 303-871-6964 or kevin.alt@du.edu or schedule an appointment.
The Denver Advantage
Learn from Leaders
MS in Data Science courses are taught by experienced faculty who are academics, data science leaders, innovators and executives across a range of industries. Access their wealth of wisdom and professional mentorship throughout this program.
Industry-Aligned and Applied Content
Courses and content align with in-demand skills. What you learn in class applies in real-world scenarios and projects throughout the curriculum, which will deepen your experience, expands your skills and sharpens your expertise.
Personalized Student Support
Your trusted academic advisor will help craft your career-focused academic plan with you, offering support and assistance with academic and administrative matters throughout your journey.
Experiential Learning
Explore our Data Science Program's distinctive feature—an optional for-credit data science internship. Gain real-world experience and valuable professional connections with organizations such as McKesson Health Solutions, Xcel Energy, Jefferson County (Colorado), American Family Insurance, Nike and Charles Schwab.
Career Focus
We offer a robust array of services to help support and accelerate your career, including coaching, job search support, networking opportunities and workshops.
Diverse and Inclusive Community
You’ll benefit from a diverse community of faculty and learners deeply committed to equity, inclusion, diversity and justice and representing a wide array of backgrounds, perspectives and experiences.
Data Science Jobs and Salaries in Your Area
Curious about the data science jobs and salaries where you live--or where you want to relocate? Contact Kevin Alt for a free job market analysis that highlights job growth, average salaries, top companies hiring, key skill sets and more!
A Top Ranked University
Top-ranked by U.S. News and World Report, the University of Denver attracts talented students from across the United States and throughout the world. The Ritchie School of Engineering and Computer Science, which houses the Data Science Program, is known for its world-class faculty, cutting-edge research and culture of innovation.
A High Quality, Affordable Degree
The Data Science Program delivers tremendous value – a high-impact degree from a top-ranked University–and program alumni enjoy a significant return on their educational investment throughout their career. Tuition for the 2023/24 academic year is $4,712 per course.
Want to learn more?
Inquire today to unlock your full potential with a MS Data Science Degree from the University of Denver. Grants up to $6,000 are available!
Learn more, schedule a meeting with Kevin