Graduate Certificate in Applied Statistics
Certificate Code - CG29
The Certificate in Applied Statistics (C.A.S.) can be earned through traditional classroom delivery as well as distance-based delivery. Many of the courses are offered both on-campus and online, including the required courses and the SAS and Data Science tracks.
The C.A.S. is designed for professionals or students who want applied statistics and data science courses to enhance their job opportunities and quantitative skills. If prerequisite requirements are met, theoretical courses in statistics are available as an option. This certificate program is designed for both on and off-campus delivery.
This certificate program will provide students with a solid foundation in statistical methods, predictive analytics, statistical computing, and data technologies. This program will enhance the quantitative skills of professionals or the research productivity of graduate students.
The C.A.S. is based on a coherent group of courses representing a specialized area of knowledge. To meet this objective each student must choose a track reflecting his or her interests. Certain tracks, e.g., the SAS, Data Science, and Modeling tracks, are offered as on and off-campus options. Other tracks are residential, although certain courses within these tracks may be offered in a distance-based format.
To maintain their status and to receive a Certificate in Applied Statistics, students must maintain at least a 3.0 GPA in courses counted towards the certificate. Students falling below a 3.0 GPA for a semester on courses counting towards this degree will be notified, and they will have one year to raise their GPA to a 3.0.
Students in the certificate program must complete at least fifteen credit hours. The Certificate in Applied Statistics should represent a distinct area of study, which builds on the foundational required statistics courses. The distinct areas of study are: SAS, data science, modeling, applied statistics, and mathematical statistics. The courses required for the completion of each of these areas are defined below.
|STAT 511||Statistical Methods 1||3|
|STAT 512||Statistical Methods 2||3|
|Three courses from one of the tracks listed below||9|
Track options and courses
|STAT 521||Statistical Analysis System Programming||3|
|STAT 522||Advanced Statistical Analysis System Programming||3|
|STAT 540||Introduction to Exploratory Data Analysis||3|
Data Science Track:
|STAT 523||Statistical Computing||3|
|STAT 623||Data Technologies||3|
|STAT 624||High Performance Analytics||3|
|STAT 541||Applied Multivariate Analysis||3|
|STAT 545||Applied Regression Analysis||3|
|STAT 547||Survival Analysis||3|
Applied Statistics Track:
|STAT 513||Design of Experiments||3|
|STAT 531||Sampling Theory and Methods||3|
|STAT 551||Nonparametric Statistics||3|
Mathematical Statistics Track:
|STAT 516||Forensic Statistics||3|
|STAT 561||Theory of Statistics 1||3|
|STAT 562||Theory of Statistics 2||3|
A student can propose a customized track to the Admissions and Standards Committee for approval based on three cohesive courses selected from 500 or 600-level courses taught by the Department of Statistics or two courses taught by the Department of Statistics and one statistics course taught by another department.
The certificate capstone will test the student's ability to apply statistical methods to a real dataset using statistical computing tools. The student is required to develop a reproducible report including a brief description of the methodologies used, the results, and the conclusions. The report is limited to ten pages. The dataset type and methods used will depend on the track the student has chosen.
The capstone experience will be administered by the student's advisor. The student will be given five days to complete the report at a date mutually agreed upon by the student and his or her advisor at or near the end of the student's coursework. The advisor will determine whether the student passes or fails based on an agreed upon rubric. A student who fails will receive written information on the reasons for failure and be given three additional days to improve his or her report to the standards required for passing.