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Graduate Certificate in Applied Statistical Strategies

 
The Graduate Certificate in Applied Statistical Strategies offers recognition of your for-credit, graduate-level training in statistical methods.  You can earn this certificate through a combination of traditional on-campus courses, online courses, and/or an intensive three-week short course.

What Recent Recipients Say about the Certificate Program:

Ning He (Fall, 2007)

I received the Certificate from the University Registrar yesterday.   Wow, it was so fast and beyond my expectation.  My family is excited to see the Certificate.  Though I chose only one course per semester, I learned much about statistics.  Also, I like the online system which made my schedule more flexible.  This program provides us, who are not in the major, a good chance to know what is and how to use statistics.  I will highly recommend it to my friends.  I highly appreciate the effort from you and the other professors.

Joe Staven, Plan Automation Analyst (Spring, 2006)

The Certificate Program has not only helped me advance my career and professional credentials, it's given me foundational statistical understanding and tools to address the data challenges and problems in business and society today. The classes were very helpful in introducing a broad range of applied statistical techniques as well as concentrating extensively on essential practical skills through research and projects.  The classes were well taught, the professors were very helpful and available, and the material and skills have been valuable to me in pursuing a career in data analytics. I highly recommend this certificate program.

Gary E. Erickson, Configuration Aerodynamics Branch, NASA Langley Research Center (Spring, 2006)

The wind tunnel testing community in academia, industry, and the federal government strives for the highest quality
and reproducibility of experimental data obtained on ground, air, and space vehicles.  The knowledge and insights
that are gained from the application of advanced statistical methods to data obtained from formally-designed experiments are key elements in the development of future commercial and military vehicles.  As an experimental aerodynamicist involved in subsonic, transonic, and supersonic wind tunnel testing, it is essential that I have a solid background in statistical methods and experimental design.  The Graduate Certificate Program in Applied Statistical Strategies offered by the Department of Statistics at the University of Tennessee, Knoxville, provided an opportunity to obtain the desired formal educational training in statistics, regression analysis, design of experiments, and data mining that are extremely useful in my day-to-day professional activities.  The quality of the courses, the instruction provided by the Statistics Department faculty, and the Centra on-line live presentation format was exceptional.  The on-line format and the scheduling of the classes allowed me to participate in the four courses required by the certificate program in a seamless manner with my full-time employment.  The UTK Statistics Department Graduate Certificate Program serves an invaluable role to students and professional alike who must apply advanced statistical methods in the classroom and working environments.

** Opinions expressed in this email are strictly those of the author and do not constitute an endorsement by the
federal government.

 

 

To Enroll in the Program

To Register for Courses

Fees

Other Graduate Statistics Programs

Certificate Recipients

 

The Certificate requires successful completion (average of B or better) of four applied statistics courses, to include:

bullet Stat 571, Statistical Methods*
bullet Stat 572, Applied Regression Analysis*

and two other courses, which may be selected from:

bullet Stat 566: Statistical Techniques in Industrial Processes
bullet Stat 567: Applied Reliability
bullet Stat 573: Design of Experiments*
bullet Stat 574: Data Mining*
bullet Stat 575: Applied Time Series
bullet Stat 578: Categorical Data Analysis
bullet Stat 579: Applied Multivariate Methods*

* These courses may be taken on campus or via distance mode, using UT Outreach & Continuing Education’s award-winning Web-based Cyberclass technology.  Other courses are presently offered on-campus, only.

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To enroll in the Certificate program:   

If you are not already enrolled in a graduate program at U.T., then make regular application to the Graduate School electronically at http://web.utk.edu/~gsinfo/ with the following information:

  • Under Major, enter Applied Statistical Strategies
  • Under Degree, enter Certificate
bullet Follow the instructions for submitting transcripts and the $35 processing fee (no GRE or letters of recommendation required).
bullet Completed applications are forwarded to the Statistics Department, and you will be informed when you are accepted into the program.  Then you may register for courses (see below).
bullet Upon satisfactory completion of the four courses (which must be done within six years), obtain from the Graduate School and fill out the Completion of Certificate Program form and obtain signatures of Dr. Mary Sue Younger (msyounger@utk.edu), Program Coordinator, and Dr. Kenneth Gilbert, Department Head.  The Graduate School will produce a certificate for you.
 
If you are already enrolled in a graduate degree program at U.T., then simply obtain and complete the Completion of Certificate Program form described in the paragraph above.

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Register for courses

bulletRegister for courses online at Circle Park Online:  http://cpo.utk.edu/

bullet On-Campus Sections

Typical offerings of on-campus sections

Course Semester Current Sections (2008)
Stat 566: Statistical Techniques in Industrial Processes Fall 001, TR 2:10 - 3:25 pm, PER 60, Leitnaker
Stat 571: Statistical Methods Fall 001, TR 3:40 - 4:55, PBB 113, Leon
Stat 572: Applied Regression Analysis Spring 001, TR 3:30 - 4:55 pm, HSS 206, Younger
Stat 573: Design of Experiments Spring  001, TR 5:05 - 6:20 pm, HSS 112, Mee
Stat 575: Applied Time Series Spring  001, TR 2:10 - 3:25 pm, HSS 102, Seaver
Stat 578: Categorical Data Analysis Spring  001, TR 11:10 am - 12:25 pm, CA 202, Zaretski
 
Stat 579: Applied Multivariate Methods Fall 001, TR 3:40 - 4:55, BU 472, Seaver

Timetable last updated on 09/09/2008.

bullet Cyberclass Sections

Typical offerings of Cyberclass sections

Course Semester Current Sections (2008)
Stat 567: Analysis of Lifetime Data Fall 001, TR 5:05 - 6:20 pm, Leon
Stat 571: Statistical Methods Summer 001, TR 5:00 - 7:00 pm, Leon
Stat 572: Applied Regression Analysis Fall 001, TR 5:05 - 6:20, Younger
Stat 573: Design of Experiments Spring 002, TR 5:05 - 6:20 pm, Leon
Stat 574: Data Mining Spring 001, MW 5:05 - 6:30 pm, Schmidhammer
Stat 579: Applied Multivariate Methods Summer 001, TR 3:30 - 5:45 pm, Schmidhammer

Timetable last updated on 09/09/2008.

For information about the Cyberclass technology, please see http://anywhere.tennessee.edu/de/tech.

2006-2007 Course Descriptions

Fees:  

Rules regarding in-state and out-of-state tuition for graduate courses may be found at http://registrar.utk.edu/residency/residency.shtml.   

Current costs may be found at http://web.utk.edu/~bursar.  There is no additional charge for Cyberclass sections.  

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Other Graduate Statistics programs offered by UT:   

bullet A statistics minor in conjunction with your Master’s or Doctoral degree in another field, through the Intercollegiate Graduate Statistics Program.  The IGSP allows you to count up to 9 hours toward both your degree and the minor.  Please see http://bus.utk.edu/stat/igsp.
bullet The M.S. degree in Statistics, either stand-alone or in conjunction with your Doctorate in another field, through the IGSP (above).  Requires 21 additional hours (including 6 hours of theory) beyond the Certificate.  Please see http://bus.utk.edu/stat/ms/index.html.
bullet The Ph.D. in Business Administration, with concentration in Statistics.  Please see http://bus.utk.edu/stat/phd/phdpage.html.
   

Click here if you would just like to take a Statistics Graduate Course via Distance

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Certificate Recipients  

UT Program*

  Spring 2002 Kenneth R. Odom
Christopher Shawn Perkins
Shijin Ren
Lok Hang Wan
Civil Engineering

Chemical Engineering
Statistics
  Summer 2002 Mithun Kamat Chemical Engineering
  Fall 2002 Joel B. Chesser
  Spring 2003 Jing He
Baris Korlu
Steven K. Moore
Pamela Mandrell Scott
Biochemistry
Industrial Engineering
Mathematics
Statistics
  Summer 2003 Dennis T. Humphrey

Fall, 2003

Yemin Ji
John S. Placyk
Piotr Styczen
Management Science
Ecology & Evol. Biology
Business Administration

Spring, 2004

Lingchen Liao
Michael Polson

Haoming Rong
Chemical Engineering
Statistics
Human Ecology

Fall, 2004

Anshuman Mehrotra
Ioana Sofia Pacurar
Management Science
Management Science
Spring, 2005 Victoria Barnes Business Administration
Jun Ding Statistics
Brian Anthony Golek
Robert Keyser Statistics
Melody Rush Statistics
Xinji Shi Management Science
Eric Brice Stephens
James B. Tittle Aerospace Engineering
Derek Alan Turner
Fall, 2005 Lu Che Management Science
Weiwei Chen Statistics
Spring, 2006 Gary E. Erickson
Paula Federico Ecology and Evolutionary Biology
Ning Ning Hong Management Science
Fei Liu Biomedical Engineering
Joe Staven
Michael Sterling Statistics
Fall, 2006 Meredith Allen
Matthew Harper Statistics
Spring, 2007 Qionghui (Shelley) Zhang Child and Family Studies
Dennis Waddell
Fall, 2007 Greg Iocco
Ning He
Haitao Xu Materials Science and Engineering
Spring, 2008 Chung-Hao Chen Electrical and Computer Engineering
Fengxiao Liu Materials Science and Engineering
Liang Wu Materials Science and Engineering
Michael F. Raible Maintenance and Reliability Engineering
Fall, 2008 Janda E. Holmes Brown
Li, Chao (Richard) Statistics
Lim, Chae Mi Retail and Consumer Sciences

* If no program indicated, the student was enrolled only in the Certificate Program.


 

Statistics Department Vision
"To be a leader in the development, teaching, and application of statistical methods
for increasing business productivity and improving decision making
in industry and public policy."

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09/09/08

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