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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 ÃÛÌÇÖ±²¥ Boulder’s 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 ÃÛÌÇÖ±²¥ Boulder's on-campus MS in Data Science is February 15.

ÃÛÌÇÖ±²¥ Boulder's innovative online Master of Science in Data Science is offered through Coursera and is performance based.Ìý

Yes, ÃÛÌÇÖ±²¥ Boulder’s 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.

ÃÛÌÇÖ±²¥ Boulder'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, ÃÛÌÇÖ±²¥ Boulder provides hands-on learning experiences that prepare students for high-impact careers in AI, analytics, and data science.