Master of Science in Statistics

There are two M.S. programs available, one with and one without thesis. We encourage our students in the M.S. program to take the thesis option. Almost all of our students have chosen this option and consequently have been exposed to problem formulation, solution techniques, and written and verbal presentation of results that have given our students an advantage in the job market. The thesis problems are motivated by real-world applications in areas such as ecology, biostatistics, industrial engineering and computer science.

There are no comparable programs offered by other institutions in Rhode Island. Most programs in statistics in New England are offered (many through math departments) with emphasis on the mathematical theory of statistics or in biostatistics programs which emphasize health and medical applications of statistics. Our M.S. in Statistics is on par with other applied statistics programs nationwide. Because we offer only an M.S. in applied statistics we have a much smaller faculty than most comparable programs which are part of a larger program in statistics which offer Ph.D. and M.S. degrees in both theory and applications. To facilitate part-time study, the department regularly offers courses for graduate credits in the late afternoons.

The statistical software capabilities offered to students include mainframe SAS, BMDP, SPSS, IMSL and many other special application programs.

Background Requirements

These courses may be required for the curriculum if a student does not come to the department with a certain required Mathematics background. Some or all courses may be required depending on previous experience in industry or research.

Prerequisites

  • MTH 141 – Introductory Calculus with Analytic Geometry
  • MTH 142 – Intermediate Calculus with Analytic Geometry
  • MTH 215 – Introduction to Linear Algebra
  • MTH 243 – Calculus for Functions of Several Variables
  • STA 409 – Statistical Methods in Research I
  • STA 412 – Statistical Methods in Research II

Thesis Requirements

Students will complete a minimum of 24 credits (excluding thesis) as follows:

12 credits from the following required courses:

  • MTH 451 – Introduction to Probability and Statistics (3cr)
  • MTH 452 – Mathematical Statistics (3cr)
  • Two STA courses at the 500 level or above (excluding STA 591) (6cr)

12 credits chosen from the following courses:

  • STA 500 – Nonparametric Statistical Methods (3cr)
  • STA 520 – Fundamentals of Sampling and Applications (3cr)
  • STA 535 – Statistical Methodology in Clinical Trials (3cr)
  • STA 541 – Multivariate Statistical Methods (3cr)
  • STA 542 – Categorical Data Analysis Methods (3cr)
  • STA 550 – Ecological Statistics (3cr)
  • STA 592 – Special Topics in Statistics (3cr)
  • STA 611 – Linear Statistical Models (3cr)
  • Including at least one of the following:
    • STA 501 – Analysis of Variance and Variance Components (3cr)
    • STA 502 – Applied Regression Analysis (3cr)

Questions should be directed to Dr. Gonzalez.

Non-Thesis Requirements

Students will complete a minimum of 33 credits as follows:

12 credits from the following required courses:

  • MTH 451 – Introduction to Probability and Statistics (3cr)
  • MTH 452 – Mathematical Statistics (3cr)
  • Two STA courses at the 500 level or above (excluding STA 591) (6cr)

12 credits chosen from the following courses:

  • STA 500 – Nonparametric Statistical Methods (3cr)
  • STA 520 – Fundamentals of Sampling and Applications (3cr)
  • STA 535 – Statistical Methodology in Clinical Trials (3cr)
  • STA 541 – Multivariate Statistical Methods (3cr)
  • STA 542 – Categorical Data Analysis Methods (3cr)
  • STA 550 – Ecological Statistics (3cr)
  • STA 592 – Special Topics in Statistics (3cr)
  • STA 611 – Linear Statistical Models (3cr)
  • Including at least one of the following:
    • STA 501 – Analysis of Variance and Variance Components (3cr)
    • STA 502 – Applied Regression Analysis (3cr)

9 additional credits at the graduate level.

A Written Comprehensive Examination

The above course work must include at least one course which requires a substantial paper involving significant independent study.

Questions should be directed to Dr. Gonzalez.