To achieve the Professional Master's degree, students must complete 30 credits of coursework from the online courses offered. Of these 30 credits, 19 credits are from core courses and 11 credits are from electives.
For the core coursework, students will follow a course of study with 5 areas of focus: Research Question, Data Generating Process, Data Curation/Storage, Data Analysis, and Data Output/Access. From each area, students must complete a designated number of credits (noted in the table below) that comprise the 19 core credits for the degree. There is some flexibility within each area to choose courses of interest, however, there are a seven classes that are required. These are designated in the table below with the bold outline (e.g., Ethics for 1 credit, Sampling for 2 credits, etc.). The first course a student should take is Fundamentals of Survey and Data Science which one of the few 3 credit courses. This course will provide a broad overview for the rest of the material but also serves as a prerequisite for many of the other courses.
To read the table below: Students must complete the minimum number of credits from each area of focus. The five areas of focus build on top of each other so that it may be conceptually easier to read the table from the bottom to the top.
As an example, 5 credits must be completed about the Data Generating Process. Two courses in this focus area are required (signified with a bold outline): Sampling and Experimental Design. Therefore, 4 of the 5 credits are predetermined. The student can choose either of the remaining data collection courses to satisfy the fifth credit. If a student chooses the Traditional Modes course, one of the credits will count towards the 11 elective credits needed to reach 30 credits in total. A student can choose to take both data collection courses, counting the second as an elective.
Additional courses are offered beyond the ones noted in the table. See the "Course Offerings
" section of our website for a full list.