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.
Data Science — Why Truman?
Tremendous value — high quality at low cost
Personalized attention from expert faculty
A program designed for the working professional
Customize projects to your relevant work or interest areas
Data Science Core – 18 credits
Intro to Data Science
An introduction to the world of Data Science and in-depth exposure to the statistical software environment “R.”
Big Data Management
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.
Ethics and Data Security
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.
Analytic Storytelling – 6 credits
Narrative, Argument, and Persuasion with Data
Develop an understanding of theory and skills in constructing a relevant, ethical, and engaging message using data that tells a coherent, persuasive story.
Principles of Design in Data Visualization
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.
Electives (choose two) – 6 credits
Python for Data Science
Enter the world of data science through in-depth exposure to the software environment Python.
Data Science Capstone
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.
Practicum in Data Storytelling
Use several real-world data to tell a data-driven story in multiple presentation styles to a variety of expert and non-expert audiences.
Data Science Program—Academic Calendar
Program starts in spring and fall each year. Eight-week courses offered year-round.
|Spring First Block
|Spring Second Block
|Fall First Block
|Fall Second Block
Apply by December 1
Apply by June 1
- Online application ($40 fee)
- Official transcripts demonstrating:
- completion of baccalaureate degree from an accredited institution (or international equivalent)
- 2.5 cumulative GPA
- completion of STAT 190 – Basic Statistics*
- completion of CS 170 – Intro to Computer Science*
*If you need help completing these requirements, please contact email@example.com about fulfilling them as part of the data science graduate program.
- GRE scores are optional. No score is required to apply, nor at any point during the program.
International students should note that the Data Science Program at Truman is online, and you will not be issued a student visa to complete this degree.
per credit hour
total estimated tuition*
*Total estimated tuition based on 2023-24 academic year. Tuition subject to change.
Data Science Opportunities for Truman Undergraduate Students
Data Science 4+1 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.
Schedule a Virtual Visit
Explore the variety of thesis topics undertaken by graduates of the Master of Science in Data Science and Analytic Storytelling program.