As an analytic storyteller, you go beyond organizing and interpreting big sets of data. You learn how to effectively gather and interpret data. Then, you take it one step further by developing the skills needed to communicate the data through evocative and easy-to-digest visualizations.
A tech-related undergraduate degree is not required to pursue this program.
An introduction to the world of Data Science and in-depth exposure to the statistical software environment “R.”
An exploration of techniques used to manage and prepare very large data sets.
An exploration of techniques used to find patterns in very large data sets, with an emphasis on the statistical structure of the approaches and practical uses of key tools.
Get familiar with statistical learning techniques (regression, regularization, and principal component analysis) and programming in a popular machine learning language such as R.
Examine Big Data ethics and security issues and explore Big Data techniques and methods.
Working alone or in a pre-approved group, you’ll complete a data science project within your given discipline.
Develop an understanding of theory and skills in constructing a relevant, ethical, and engaging message using data that tells a coherent, persuasive story.
Get introduced to the principles of good design, with application to data visualization. You’ll learn about design principles in general through lecture, example, and pen-and-paper practice, then apply these principles in the context of data analysis and visual storytelling using appropriate software tools.
Enter the world of data science through in-depth exposure to the software environment Python.
Working alone or in a pre-approved group, you’ll complete a data science project within your given discipline. The deliverables for this project include a technical paper written in R Markdown that details the project and the steps taken.
Use several real-world data to tell a data-driven story in multiple presentation styles to a variety of expert and non-expert audiences.
Explore the variety of thesis topics undertaken by graduates of our Master of Science in Data Science and Analytic Storytelling program.
Program starts in spring and fall each year. Eight-week courses offered year-round.
Preferred Deadline – À¶Ý®ÊÓƵ by December 1
Preferred Deadline – À¶Ý®ÊÓƵ by August 1
International students should note that the Data Science Program at À¶Ý®ÊÓƵ is online, and you will not be issued a student visa to complete this degree.
*Total estimated tuition based on 2026-27 academic year. Tuition subject to change.
Degree-seeking students enrolled in at least six credit hours per semester are eligible for federal financial aid programs. For more information, see Financial Aid Resources for Graduate Studies or contact the Financial Aid Office at (660) 785-4130 or finaid@truman.edu.
Accelerated Program
Data Science 4+1 is an accelerated program for Truman undergraduates to pursue the Master of Science in Data Science and Analytic Storytelling.
You can take up to 12 graduate credits as an undergraduate student to get ahead in your coursework, and 6 of those graduate credit hours can be applied to your undergraduate degree.
Get an inside look at the online learning environment, meet your professors, and get all your questions answered during a virtual visit.