Requirements

Degrees Conferred: M.S.

Pre-Requisites to Degree Programs

In addition to the requirements of the Graduate School, applicants for admission to the M.S. program in Statistics and Analytics must submit a) three letters of recommendation from persons familiar with the applicant’s previous academic and professional performance and b) official test scores as specified for the applicant’s area of interest. Admission to the program will be approved by a standing committee consisting of one faculty member from each of the 7 concentrations.

Requirements for the Master of Science Degree

A candidate must complete a minimum of 30 hours of graduate credits that will include a minimum of one course (three hours) in each of the following areas: Regression I or Decision Support Analytics; Statistical Methods; Multivariate Analyses; and Experimental Design. Specific courses that will meet these requirements will be chosen from a list developed by the program faculty and approved by the student’s advisory committee in consultation with the student.

In addition, a candidate must complete the deficiencies and 18 additional hours listed below for his/her chosen concentration:

Statistics Concentration

  • Undergraduate deficiencies: Calculus II, Data Structures, Linear Algebra
  • One course from each of these areas as approved by the student’s advisory committee: Theory of statistics (probability); statistical inference; analysis of categorical responses; statistical computation
  • Six additional hours of electives OR
  • Six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

Business Analytics Concentration

  • Undergraduate deficiency: Calculus I
  • One course each from the areas of database analysis and data mining as approved by the student’s advisory committee
  • Twelve additional hours of electives OR
  • Six additional hours of electives, six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

Operations Analytics Concentration

  • Undergraduate deficiencies: Calculus I, Linear Algebra and Basic Probability and Statistics
  • One course each from each of these areas as approved by the student’s advisory committee: Simulation; optimization I; data mining
  • Nine additional hours of electives OR
  • Three additional hours of electives, six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

Computational Analytics Concentration

  • Undergraduate deficiencies: Calculus I, Linear Algebra and Data Structures
  • One course each from each of these areas as approved by the student’s advisory committee: data mining; database
  • Twelve additional hours of electives OR
  • Six additional hours of electives, six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

Educational Statistics & Psychometrics Concentration

  • Undergraduate deficiencies: Calculus I and Linear Algebra
  • One course each from the areas of measurement and educational assessment as approved by the student’s advisory committee
  • Twelve hours of electives as approved by the student’s advisory committee OR
  • Six hours of electives or six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

Quantitative Social Science Concentration

  • Undergraduate deficiencies: Calculus I, Linear Algebra and Statistical Probability
  • One course each from each of these areas as approved by the student’s advisory committee: Generalized linear models and extensions; multivariate techniques; time series analysis; panel data analysis
  • Six hours of electives to include two of the following: cost benefit analysis; GIS and spatial analysis; multilevel modeling; social network analysis OR
  • Six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis

BioAnalytics Concentration

  • One course each from each of these areas as approved by the student’s advisory committee: Cluster Computing; Programming for Biologists; Advanced Multivariate Analysis
  • Nine hours of electives chosen in consultation with, and approved by, BioAnalytics concentration advisor.
  • Six hours of thesis credit and submission of an acceptable thesis
  • Written comprehensive exam (non-thesis) or defense of the thesis