Program Overview

Data Science Master's Program

The Data Science Master's Program at the University of Colorado Boulder is a two-year, interdisciplinary program that prepares students to become data scientists. The program is designed to provide students with a solid foundation in machine learning, AI tools, data analytics, big data, and statistical modeling.

Program Overview

The program is led by faculty from Applied Mathematics, Computer Science, and Information Science. Students will work on real-world data challenges aimed at solving complex business and scientific problems. The program offers competitive faculty-led research opportunities, capstone projects, hackathons, and internships.

Career Outcomes

Graduates of the program have gone on to work at leading tech, financial, healthcare, and startup companies, with most earning over $100,000 per year.

Faculty

The program's world-renowned faculty are leading minds in data science and have deep connections across industry.

Real-World Datasets

The program emphasizes hands-on, practical learning oriented toward everyday applications.

STEM-Designated Curriculum

The program's STEM OPT status allows international students to work in the U.S. for three years after graduation.

Program Details

• Duration: 1 1/2 to 2 years
• Credits: 30 credits
• Format: On-campus or online
• Admission: Fall admission only
• Tuition: Varies by program, residency status, and enrollment type

Admissions Requirements

• Bachelor's degree from an accredited institution with a minimum 3.0 GPA
• Show promise of ability to pursue advanced study and research
• Adequate education or career preparation to enter graduate study in data science
• Statement of purpose outlining goals and interests
• One letter of recommendation
• Official transcripts
• Resume/CV highlighting relevant experience

Application Process

• Applications are evaluated by faculty and admissions decisions are released by the end of February for priority applicants and mid-April for regular applicants
• Application deadlines: February 15 for fall admission

Costs and Financial Information

• Tuition structure: Engineering master's programs have different rate structures based on program type, delivery method, and course load
• ROI consideration: Most graduates recoup their educational investment within 2.5 years of completing their degree
• Flexible options: Many programs offer part-time enrollment, allowing students to distribute costs while maintaining employment
• Funding resources: Scholarships, fellowships, assistantships, employer benefits, and military benefits are available

Frequently Asked Questions

• What is the best master's in data science? The best master's in data science programs combine technical depth, interdisciplinary learning, industry connections, and strong career outcomes.
• Is a master's in data science worth it? A master's in data science is a valuable investment for those looking to advance in data-driven careers.
• What can I do with a master's in data science? Graduates can pursue careers in data science, machine learning engineering, data engineering, AI research, business intelligence, quantitative finance, healthcare analytics, cybersecurity, and product analytics.

Related Programs

• Master's of Engineering in Engineering Management
• MS in Network Engineering
• MS in Computer Science

The Rocky Mountain Advantage

• Build your future: Boulder is rich with industry opportunities in aerospace, technology, renewable energies, defense, quantum computing, and more.
• Build your community: Be part of a collaborative community while studying at one of the nation's preeminent engineering programs.
• Build your life: Boulder provides an amazing quality of life with easy access to the outdoors and a vibrant downtown.