Undergraduate & Graduate Catalog
Graduate Programs
2012-2013
Academic Year:





Statistics (MS)

Program Overview


The Statistics M.S. Program, provides a balance of a foundation in theoretical statistics, applied coursework in statistical techniques, and opportunities for application of statistical knowledge through the StatLab and internships with local companies.  Students completing the M.S. degree in Statistics will:
  1. Have a theoretical foundation in probability, mathematical statistics, and  optimization.
  2. Have a core set of coursework in practical applications in regression, design of experiments, and multivariate methods
  3. Have exposure to Statistical Consulting.
  4. Have an opportunity to apply the course work in a thesis, applied research, or an internship.

Requirements for Admission

On a 4.0 system, applicants should have a G.P.A. of at least 2.5 and an average of at least 3.0 in mathematics and related areas. Applicants who have completed an advanced degree must have done so with a G.P.A. of at least 3.0. In addition, applicants must take the GRE Aptitude Test with at least a score of 1050 in quantitative math and verbal (with an emphasis on the quantitative) for the traditional test.  Students taking the new GRE exam should have a minimum of 300 combined on verbal and quantitative reasoning.  Students for whom English is not their first language must meet a minimum of 85 on the TOEFL IBT examination. Admission to the Statistics Program is based on selections made by the department graduate committee in compliance with University policies and procedures.  Admission is selective and competitive based on the number of well-qualified applicants and the limits of available faculty and facilities. Those who meet stated minimum academic requirements are not guaranteed admission, nor are those who fail to meet those requirements necessarily precluded from admission if they offer other appropriate strengths. 

Requirements for the Master's Degree in Statistics

The total credits required for the degree are 33.
21 credits of core, 3 credits of Signature Courses, and 9 credits of Approved Optional Courses.

Statistics M.S. Core requirements   (21 credits)
In addition, students must take one elected course from this Approved List of Signature Courses (3 credits) Approved Optional Courses (9 Credits)
Three STAT 600 level courses with the exception of:  STAT 608, STAT 609, STAT 613, STAT 670, and STAT 671, which were designed for nonmajors.  Key approved optional courses include:  STAT 656  Biostatistics;  STAT 674  Data Management; STAT 675  Logistic Regression;

or 

One Optional Course and 6 Thesis Credits (STAT 669)            (9 credits)

or 

One Optional Course and 6 Internship Credits (STAT 664)    (9 credits)

Students are expected to participate in StatLab; attend departmental seminars, attend the monthly meetings of the Delaware Chapter of the American Statistical Society; and area professional meetings, such as the ASA Meetings or the Merk-Temple Conference.  The Department provides support for graduate students for these activities.

Concentration in Decision Analysis

Students wishing to build a concentration in Decision Analysis can build additional skills in operation research mathematical modeling that would compliment the statistics courses.   The number of credits remains at 33 and the core courses in the M.S. Statistics are the same with the exception of STAT 603 is optional.  In addition, in place of the Signature Courses there are four operations research courses.  Students declaring the Decision Sciences concentration in the Operations Research M.S. degree will take the following.

Statistics M.S. Core requirements (18 credits)

Decision Analysis Concentration  (9 credits)
                           
  • ORES 601  Survey Operations Research I   or  ORES 801 Math Programming with Economic Applications
  • ORES 602  Survey Operations Research II
  • ORES 603  Simulation Modeling and Analysis

Additional Approved Courses  (6 credits)

Two STAT 600 level courses with the exception of:  STAT 608, STAT 609, STAT 613, STAT 670, and STAT 671, which were designed for nonmajors.  Key approved optional courses include:  STAT 656  Biostatistics;  STAT 674  Data Management; STAT 675  Logistic Regression;

or     

6 Thesis Credits (STAT 669)                       6 credits

or    

6 Internship Credits (STAT664)                  6 credits


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