COURSE CURRICULUM

The Master of Applied Statistics (M.A.S.) – Data Science Specialization at Colorado State University is a graduate program designed to prepare students for advanced careers in data science, analytics, and statistical applications. The program is offered in both on-campus and online formats, providing flexibility for students who wish to balance their studies with professional or personal commitments. Online students also have access to dedicated CSU Online resources, ensuring they receive full academic support regardless of location.This program emphasizes practical, applied training in statistical methods and data science techniques. Students gain experience working with real-world data, developing skills in data analysis, modeling, and interpretation that are essential in today’s data-driven industries. The curriculum is designed to equip graduates with the technical expertise needed for roles in business, government, research, healthcare, and technology sectors.Students interested in the program are encouraged to take next steps by contacting a department representative, reviewing program requirements, and exploring detailed information through official university resources. Additional academic details, including coursework and credit requirements, are available in the Colorado State University general catalog.The program may also offer an Accelerated Master’s Program option, allowing qualified students to complete their degree in less time and at a reduced cost. Eligibility and application procedures for this pathway are available through the department.Financial support options include resources from the Office of Financial Aid, along with potential departmental funding opportunities depending on eligibility. Students are encouraged to explore all available resources to support their graduate education.Overall, the M.A.S. in Data Science Specialization provides a flexible and practical graduate education that prepares students to apply statistical and data science skills to solve complex real-world problems.