The MSP Curriculum
The Master's of Statistical Practice degree is an intensive two-semester professional master's program that emphasizes statistical practice, methods, data analysis, and practical workplace skills. The MSP is for students who are interested in professional careers in business, industry, government, marketing, or scientific research, or continuing in graduate school. There is no thesis requirement for this program.
2017-2018 MSP Schedule (tentative)
- 36-601 Perspectives in Data Science I
- 36-611 Professional Skills for Statisticians I
- 36-617 Applied Linear Models
- 36-641 Statistical Methods in Epidemiology
- 36-650 Statistical Computing
- 36-602 Perspectives in Data Science II
- 36-612 Professional Skills for Statisticians II
- 36-618 Experimental Design & Time Series
- 36-664 Data Mining
- 36-726 Statistical Practice
One of the hallmarks of the MSP program is our course, 36-726 "Statistical Practice". The focus of this course is a consulting project. These projects come from companies in and around Pittsburgh as well as on campus. A select set of these projects are listed below.
- Pittsburgh Public Schools - "Assessing the Effectiveness of Pre-K Programs"
- Pittsburgh Police Bureau - "Epidemiology of Homicides in Pittsburgh"
- Civic Light Opera - "Predicting Ticket Sales"
- Corporate Sales - "Predicting Sales by Site for a Large Building Supply Company"
- Analytics - "Automating Question Selection for Online-Questionairres"
- Healthcare - "Early Detection of Opioid Abuse"
- Sports Analytics - "Making Best Use of the Hockey Draft"
- Internet Market Research - "Predicting Consumer Behavior from Online Polling Data"
- Heinz School - Public Policy - "Patterns of Change in Homicide Rates Across Cities and Time?"
- Heinz School - Public Policy - "Is the Death Penalty a Deterrent for Committing Homicide?"
- Carnegie Mellon: On-line Learning - "Assessing the Effect of On-line Learning"
- Carnegie Mellon: Psychology - "Relationship Predictors of Care of Diabetes in Couples"
- Carnegie Mellon: English - "Analysis of Hillary Clinton's Rhetorical Style"