Learning Outcomes

Program Goals and Student Learning Outcomes

Goal #1 Statistical: Be trained and experienced in statistical reasoning, in designing studies (including practical aspects), in exploratory analysis of data by graphical and other means, and in a variety of formal inference procedures.

  • Knowledge of statistical theory (e.g., distributions of random variables, point and interval estimation, hypothesis testing, Bayesian methods)
  • Knowledge of graphical data analysis methods
  • Competency in the design of studies (e.g., random assignments, replication, blocking, analysis of variance, fixed and random effects, diagnostics in experiments; random sampling, stratification in sample surveys; data exploration in observational studies)
  • Be able to do statistical modeling (e.g., simple, multiple, and logistic regression; categorical data; diagnostics; data mining)

Goal #2 Computational: Be familiar with standard statistical software, data management and algorithmic problem solving.

  • Have an understanding of programming concepts and their applications in statistics
  • Knowledge of the professional statistical software appropriate for a variety of tasks

Goal #3 Mathematical: Have knowledge of probability, statistical theory, and any prerequisite mathematics (especially calculus and linear algebra).

  • Knowledge of Calculus (integration and differentiation) through multivariable calculus
  • Knowledge of linear algebra (emphasis on matrix manipulations, linear transformations, projections in Euclidean space, eigenvalue/eigenvector decomposition and singular value decomposition)
  • Probability: emphasis on connections between concepts and their applications in statistics

Goal #4 Communicating & Consulting: Be able to write clearly, speak fluently, and have developed skills in collaboration and teamwork and organizing and managing projects.

  • Be able to demonstrate effective technical writing and presentations skills
  • Demonstrate teamwork and collaborative skills
  • Demonstrate effective planning for data collection
  • Competency in data management


For More Information

Bruce Blaine
Program Director
(585) 899-3808

(585) 385-8064