Data Science Master’s Programs

Data science master’s programs combine statistics, programming, data management, and machine learning to help students turn large datasets into useful models and decisions. The programs below have been reviewed for a meaningful data science focus rather than a single related elective.

Our current inventory includes 14 master’s programs classified under data-science. Use the table to compare degree type, location, delivery format, tuition, and program length. Each school name links to a full program profile with curriculum, admissions, and cost details.

Data Science Master’s Programs

School Location Degree Format Tuition Length
Arizona State Tempe, AZ MS in Data Science with Bayesian Machine Learning campus $15,000 24 Months
Case Western Reserve University Cleveland, OH Master of Science in Data Science campus $71,520 2 years
College of Charleston Charleston, SC M.S. in Data Science and Analytics campus $19,800 2 Years
Florida Gulf Coast University Fort Myers, FL Master of Science in Data Analytics and AI Hybrid Approx $11.2K resident / $43.2K nonresident About 1.5–2 years
Florida International University Miami, FL Master of Science in Data Science and Artificial Intelligence Campus Approx $13.7K resident / $34.4K nonresident 1 year full-time
Indiana Wesleyan University Marion, IN Master of Science in Artificial Intelligence – Data Analytics Online Est. $17,700 tuition 15–20 months
Montana State University Bozeman, MT M.S. in Data Science campus $13,141 resident 2 years
North Carolina A&T State University Greensboro, NC M.S. in Data Science and Engineering Online $303/credit in-state 2–3 semesters
Nova Southeastern University Fort Lauderdale, FL Master of Science in Artificial Intelligence Online or Campus $29,670 estimated total tuition As little as 1 year
Southern Methodist University Dallas, TX online $37,855 20 Months
Tennessee Tech University Cookeville, TN Computer Science MS: Machine Learning Track campus $23K 2-2.5 years
University of Arizona Tucson, AZ MS in Information Science: Machine Learning hybrid $18,017 per semester 18 months
University of Central Missouri Warrensburg, MO Master of Science in Data Science and Artificial Intelligence Online, Hybrid, or Campus Approx $17K 18–24 months
University of Montana Missoula, MT M.S. in Data Science campus $16K-$20K 2 years

What You Study in a Data Science Master’s

Data science programs usually combine mathematical foundations with practical computing. Common subjects include probability, statistics, data visualization, databases, programming, machine learning, data mining, optimization, and large-scale data analysis.

The balance varies by school. Some programs lean heavily into mathematics and statistical modeling. Others emphasize computer science, engineering applications, artificial intelligence, or production data systems. A degree with a strong machine learning component should include more than one isolated ML elective.

How Data Science and Machine Learning Overlap

Machine learning is one of the main technical areas inside modern data science. Data scientists often prepare and analyze data, select features, train predictive models, evaluate results, and communicate findings. Machine learning engineers usually place more emphasis on model development, software systems, deployment, and performance at scale.

For this directory, a data science program can also receive the machine-learning classification when the curriculum shows substantial ML coursework, a formal ML concentration, or required machine learning study. We do not classify programs from keyword mentions alone.

How to Compare Data Science Programs

Curriculum: Look for required statistics, programming, databases, and machine learning rather than a broad analytics degree with little technical depth.

Cost: Compare total tuition when the university publishes it. When it does not, compare the per-credit rate against the required credit total.

Format: Confirm whether the degree is online, mostly online, hybrid, or campus-based. Do not assume that individual online courses make the full degree online.

Length: Many full-time programs take about 12 to 24 months, but thesis work, prerequisites, and part-time enrollment can extend the timeline.

Applied work: A capstone, practicum, internship, project, or thesis can provide useful experience beyond coursework.

Who Is a Data Science Master’s Best For?

A data science master’s can fit students who want broad preparation across statistics, computing, machine learning, and data analysis. It can be especially useful for applicants who want flexibility between roles such as data scientist, machine learning analyst, analytics engineer, data engineer, or applied AI professional.

Students who want most of their graduate study devoted to neural networks, AI systems, computer vision, natural language processing, or machine learning theory may prefer a more specialized machine learning or artificial intelligence degree.