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 requires admission to a concentration and must be approved by the admission committee for that concentration.

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. A candidate must also either pass a comprehensive examination or successfully defend a master's thesis.

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
  • Pass comprehensive examination (non_thesis) or successful defense of master's thesis
  • Download the advising checklist here

Business Analytics Concentration

  • Undergraduate deficiency: Calculus I
  • One course each from these areas as approved by the student’s advisory committee: data analytics fundamentals, data management systems, seminar in business intelligence. practicum
  • Six additional hours of electives OR six hours of thesis credit and submission of an acceptable thesis
  • Pass comprehensive examination (non_thesis) or successful defense of master's thesis
  • Download the advising checklist here

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
  • Pass comprehensive examination (non_thesis) or successful defense of master's thesis
  • Download the advising checklist here

Computational Analytics Concentration

  • Undergraduate deficiencies: Calculus I, Linear Algebra and Data Structures
  • Database management systems and two courses from data mining, machine learning, or artificial intelligence
  • Nine additional hours of electives OR three additional hpours of electives, six hours of thesis credit and submission of an acceptable thesis
  • Pass comprehensive examination (non_thesis) or successful defense of master's thesis
  • Download the advising checklist here

Educational Statistics and Psychometrics Concentration

  • Undergraduate deficiencies: Calculus I and Linear Algebra
  • One course each from the areas of measurement, research methods, and item response theory, as approved by the student’s advisory committee.
  • Nine hours of electives as approved by the student’s advisory committee OR three hours of electives or six hours of thesis credit and submission of an acceptable  thesis
  • Successful defense of master's thesis
  • Download the advising checklist here

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
  • Successful defense of master's thesis
  • Download the advising checklist here

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 or six  hours of thesis credit and submission of an acceptable thesis
  • Pass comprehensive examination (non_thesis) or successful defense of master's thesis
  • Download the advising checklist here