MS in Data Science at ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ

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The University of Colorado Boulder is committed toÌýteaching the next generation of interdisciplinary data scientists.

Learn ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ OnlineÌýÌý ÌýLearn ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ On-CampusÌý

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MS in Data Science at ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ

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The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand for data scientists, machine learning engineers, AI specialists and data analysts continues to grow across sectors such as technology, healthcare, finance, government, retail, energy and consulting.

The Master of Science in Data Science at ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ is a STEM-designated, interdisciplinary program that provides students with rigorous training in machine learning, AI tools, data analytics, big data and statistical modeling. Faculty from Applied Mathematics, Computer Science and Information Science guide students through hands-on projects and experiential learning, applying data science to fields like machine learning, business analytics, healthcare analytics, financial analytics and cybersecurity.

With flexible learning formats, including on-campus and fully online options, the program serves full-time students, working professionals, and career changers. Graduates are well-prepared for roles in data science, machine learning, AI research, business intelligence, quantitative finance and cybersecurity at leading tech companies, financial institutions, healthcare organizations, research labs and startups.

FAQs

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. Top programs typically offer:

  • Comprehensive coursework in machine learning, AI, big data, and statistical modeling
  • Flexible formats, including online, hybrid, and in-person options
  • Hands-on research and experiential learning opportunities
  • STEM designation, benefiting international students
  • High job placement rates across industries

ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ MS in Data Science exemplifies these qualities with rigorous coursework, hands-on projects, and faculty expertise across computer science, statistics, and engineering. With both online and on-campus options, a STEM designation, and a focus on AI, machine learning, and analytics, graduates are well-prepared for careers in tech, healthcare, finance, and more.

A master's in data science is a valuable investment for those looking to advance in data-driven careers. The demand for data scientists, machine learning engineers, and AI specialists continues to grow, offering high salaries and strong job security. Graduates find roles in technology, finance, healthcare, government, retail, energy, and consulting, helping organizations make smarter, data-driven decisions.

An MS in Data Science prepares graduates for careers in:

  • Data Science – Analyzing large datasets to drive business and research decisions
  • Machine Learning Engineering – Developing AI and predictive models
  • Data Engineering – Designing large-scale data pipelines and storage solutions
  • AI Research – Creating next-generation artificial intelligence algorithms
  • Business Intelligence – Transforming data into insights for strategic decision-making
  • Quantitative Finance – Applying data science to investment, risk management, and algorithmic trading
  • Healthcare Analytics – Optimizing patient care and hospital operations using data
  • Cybersecurity and Risk Analysis – Using machine learning to detect fraud and security threats
  • Product Analytics – Using user behavior data to refine product design and marketing strategies

Graduates from ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ program work in leading tech companies, financial institutions, healthcare organizations, research labs, and startups, solving complex problems using data science and AI.

An MS in Data Science is highly technical, focusing on programming, machine learning, big data, and analytics, preparing graduates for specialized data-driven roles. An MBA emphasizes leadership, business strategy, and management, making it ideal for those aiming for executive or general business leadership positions.

If you want to work in data science, AI, or analytics, an MS in Data Science is the better choice. If you’re interested in business leadership, operations, or strategy, an MBA might be a better fit.

Applicants to the residential (on-campus) MS in Data Science should have:

  • A bachelor’s degree or equivalent from a regionally accredited institution
  • A minimum 3.0 GPA (strong applicants have a 3.2 or higher)
  • Mathematical background, including familiarity with differential and integral calculus, linear algebra, and infinite series
  • Programming experience, preferably in R or another relevant language

Students who do not meet all math and programming prerequisites would be considered for admission through the Bridge to Data Science pathway, completing the degree with 30–34 total credits based on prior experience. GRE scores are optional for most applicants.

NOTE: The deadline to apply to ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ's on-campus MS in Data Science is February 15.

ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ's innovative online Master of Science in Data Science is offered through Coursera and is performance based.Ìý

Yes, ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ MS in Data Science is a STEM-designated program, allowing international students to apply for Optional Practical Training (OPT) and STEM OPT extensions, enabling them to work in the U.S. for up to three years after graduation.

ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ's MS in Data Science offers students the opportunity to engage in:

  • Competitive opportunities for faculty-led research in machine learning, AI, big data, and computational science
  • Internship support through elective course credit for students who secure internships within industry
  • Real-world data challenges, working with companies and research labs
  • Capstone projects that apply data science techniques to real business and scientific problems

With strong industry connections, ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ provides hands-on learning experiences that prepare students for high-impact careers in AI, analytics, and data science.

Career Outlook

  • Data scientist ranks within the top ten jobs of 2026 according to the .Ìý
  • The fastest-growing jobs between now and 2030 include big data specialists, fintech engineers and AI and machine learning specialists, according to the .
  • Data scientist jobs are expected to grow by 34%Ìýover the next decade, much faster than the average for all occupations, according to the .

Flexible Learning Options

The Master of Science degree in Data Science is offered both online and in-person at the University of Colorado Boulder.

MS in Data Science on CourseraÌý

This 100%Ìýonline degree is offered throughÌýan innovative partnership between ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ and Coursera and includes performance-based admissions, flexible 8-week terms, and self-paced courses.ÌýStudents are led by the same award-winning faculty teaching on campus and receive the same diploma as students attending in person.

Learn more about the fully online MS-DS on Coursera.

Residential MS in Data Science

Come learn data science on ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ's beautiful campus at the base of the Flatirons. The on-campus degree uses theÌýsame rigorousÌýcurriculum as the online degree and includesÌýsemester-based termsÌýand more direct interaction with peers and faculty.ÌýThe in-person program is STEM eligible, offering an Optional Practical Training STEM Extension benefit.

Learn more about the MS-DS on Campus.