M.S. in Statistics
Many of our Ph.D. students earn a Master of Science (M.S.) in Statistics on the way to achieving their ultimate degree. The M.S. degree is awarded as a milepost after a certain number of courses and other requirements have been completed. Note that students who have previously earned an M.S. or professional Master’s degree in Statistics are not eligible to earn an additional Master’s from our program. In addition, there are limitations on receiving multiple M.S. degrees from different departments at CMU; you cannot, for instance, receive both an M.S. in Statistics and an M.S. in Machine Learning unless these two degrees are built on disjoint course requirements.
The M.S. has a framework of requirements, as follows:
- Students must pass Intermediate Statistics (36-705) and Applied Regression Analysis (36-707)
- Students must also complete additional graduate credits (i.e. 4 courses) chosen from a variety of options. These classes must contain at least nine units from each of the following categories
- A collaborative research experience such as Advanced Data Analysis (36-757 and 36-758), Statistical Practice (36-726), or an independent research project (provided it includes data analysis).
- Statistical methodology (e.g., methods minis, 10-701).
- Probability or Statistical theory (e.g., 36-752, 36-755).
- Students must have a B or better in each of the courses under consideration for their 72 credits, an overall GPA of at least 3.0
- Students must pass the Data Analysis Exam
There is no thesis requirement for this degree.