Main Navigation
Apply Now Request Info


Applied Statistics Master of Applied Statistics (M.A.S.)

Data Science Specialization

Rapid advances in our capacity to acquire and store data have produced an urgent demand in business, industry, and government for capable data scientists who can extract useful information from large data sets. This specialization within the online M.A.S. degree incorporates data exploration and analysis techniques with a business focus to complement the statistical foundations of the program.

The field of data science primarily deals with the collection, storage, organization, analysis, interpretation, and visualization of large volumes of data. Data scientists use interdisciplinary techniques to provide answers to complex questions. The job of a data scientist may include using scientific computing techniques, machine learning, analytics, and modeling tools to assess trends, patterns, and behaviors or forecast potential outcomes. Statistical inference and machine learning are foundational to the field of data science and empower researchers to extract specific information from massive data sets.

CSU's online Master of Applied Statistics – Data Science Specialization emphasizes the practical and business-related applications of statistical analysis and data science. Be ready to start working as a data scientist in business, industry, or government immediately after graduation. During the program, you will receive a strong background in applied statistical procedures, analytics, data visualization, and statistical computing.

A minimum of 30 credits are required to complete this program.

Note: Prior to beginning courses in the fall semester, students are required to successfully complete the following two noncredit courses during the summer:

Required Courses

Note: Students are required to successfully complete three credits from the following courses:


What Next?

  • Keep reading
    Next: Faculty »

    Get to know the respected, expert faculty behind the program's curriculum development, teaching, and research.