Graduate Certificate in Statistics

Department of Mathematics & Statistics

Program Description   |   Curriculum   |   Course Descriptions
Admission Requirements   |   Graduate Degrees

Program Description:

The Department of Mathematics and Statistics offers a variety of theoretical and applied statistics courses that are taken by an appreciable number of graduate students from outside our department. Many of these students go on to take more than one graduate level statistics course during their academic career at S&T. They find these courses not only interesting, but also useful in their work as engineers and experimental scientists. This certificate program will enable these students to obtain credentials in an area that is outside their main discipline yet will be very useful in their practice as engineers and scientists. Such credentials will also set them apart from others within their discipline. In the past many of the students from engineering and sciences disciplines enrolled our statistics courses have expressed great interest in obtaining a graduate certificate in statistics.

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Admission:

The graduate certificate program is open to all individuals holding a BS degree in mathematics, statistics,  or in an engineering or hard scientific discipline with a B average or better in coursework taken for the BS degree. In addition, the applicant must have a minimum of two years of professional experience or currently be accepted into a graduate degree program at Missouri S&T.

Students who are not currently enrolled in a graduate degree program at Missouri S&T but are admitted to the certificate program will have non-degree graduate status but will earn graduate credit for the courses they complete. The courses in the certificate program will be offered such that students can complete the program in a timely manner. The certificate courses taken by students admitted to the program will count towards any graduate degree offered by the Department of Mathematics and Statistics if approved by the student’s academic committee.

Once admitted to the program, a student will be given three years to complete the program as long as a 3.0 grade point average is maintained in the courses taken.

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Curriculum:

To obtain the Graduate Certificate in Statistics students must select an option from the two options given below and complete all of the requirements under that option by obtaining passing grades in all courses taken to satisfy the stipulated requirements while maintaining a 3.0 cumulative grade point average.

OPTION I – Foundations and Focused Applications      

Required: 

  • STAT 5643: Probability and Statistics 
  • STAT 5644: Mathematical Statistics  

Select one of the three groups listed below and complete two of the courses in that group:

GROUP 1 – Modeling Empirical Processes 

  • STAT 5814: Applied Time Series Analysis or STAT 6814: Statistical Time Series Analysis – credit toward the certificate program will be given for only one of these two courses
  • STAT 6841: Stochastic Processes 

GROUP 2 – Classical Tools for Data Analysis  

  • STAT 5346/COMP SCI 5204: Regression Analysis 
  • STAT 5353: Statistical Data Analysis 
  • STAT 6344: Design and Analysis of Experiments   

GROUP 3 – Advanced Topics in Statistical Methods and Modeling 

  • STAT 6239, COMP ENG 6330, ELEC ENG 6340, or SYS ENG 6214, or COMP SCI 6405: Clustering Algorithms 
  • STAT 6343: Nonparametric Statistical Methods 
  • STAT 6545: Multivariate Statistical Methods 
  • STAT 6553: Linear Statistical Models I
  • STAT 6570: Theory of Reliability 

OPTION II – Applied Statistics 

Choose four courses from the following ten:

  • STAT 5260: Statistical Data Analysis Using SAS 
  • STAT 5425: Introduction to Biostatistics 
  • STAT 5814: Applied Time Series Analysis 
  • STAT 5346/COMP SCI 5204: Regression Analysis 
  • STAT 5353: Statistical Data Analysis 
  • STAT 6239, COMP ENG 6330, ELEC ENG 6340, or SYS ENG 6214, or COMP SCI 6405: Clustering Algorithms
  • STAT 6343: Nonparametric Statistical Methods 
  • STAT 6344: Design and Analysis of Experiments 
  • STAT 6545: Multivariate Statistical Methods 
  • STAT 6570: Theory of Reliability  

OPTION III – Theory and Applications 

Required: 

  • STAT 5643: Probability and Statistics 

Choose three courses from the following ten:

  • STAT 5260: Statistical Data Analysis Using SAS 
  • STAT 5425: Introduction to Biostatistics 
  • STAT 5814: Applied Time Series Analysis 
  • STAT 5346/COMP SCI 5204: Regression Analysis 
  • STAT 5353: Statistical Data Analysis 
  • STAT 6239, COMP ENG 6330, ELEC ENG 6340, or SYS ENG 6214, or COMP SCI 6405: Clustering Algorithms
  • STAT 6343: Nonparametric Statistical Methods 
  • STAT 6344: Design and Analysis of Experiments 
  • STAT 6545: Multivariate Statistical Methods 
  • STAT 6570: Theory of Reliability 

All the above courses listed in Options I, II and III must be taken for graduate credit and cannot be counted towards requirements of an undergraduate degree.

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Course Descriptions:

 Course description can be found in the catalog at catalog.mst.edu/graduate.

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Graduate Degrees:

Graduate certificates were designed as a gateway to a master’s degree. If a student earns a B or better in each certificate course they may continue for the graduate degree (in the corresponding department), without needing to submit GRE/GMAT scores, or letters of recommendation. A student does not need to continue on for the graduate degree, however most do. Graduate certificates were designed for working professionals who have real life work experience and may not have time to take the GRE/GMAT. Admission requirements for the graduate certificate program are also more relaxed than the graduate degree. This graduate certificate may act as a gateway to the following master’s programs:

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