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Statistics


 

The purpose of B.S/B.A. major in statistics is to provide students with the statistics, mathematics, and computing science tools necessary for them to be successful as statisticians, data scientists, biostatisticians, and quantitative analysts in business, industry, government, and the many aspects of the health professions, and to prepare students for graduate study in statistics.  Graduates from the program will demonstrate competence in the statistical, mathematical, computational, and nonmathematical skills in the American Statistical Association Curriculum Guidelines for Undergraduate Programs in Statistical Science https://www.amstat.org/asa/files/pdfs/EDU-guidelines2014-11-15.pdf .

 
Learning Objective 1
Statistics majors will demonstrate mastery of foundational mathematics in calculus, linear algebra, and foundations of analysis.

Learning Objective 2
Statistics majors will demonstrate proficiency in basic computer programming.

Learning Objective 3
Statistics majors will demonstrate proficiency in two statistical programming languages, and be able use these languages for data exploration, visualization, cleaning, and analysis.

Learning Objective 4
Statistics majors will demonstrate proficiency in the application of multiple statistical methods in the analysis of data.

Learning Objective
Statistics majors will demonstrate proficiency in the theoretical underpinnings of probability and statistical inference.

Learning Objective 6
Statistics majors will demonstrate proficiency in the communication of the processes, methods and results of statistical analyses.

 
  1. Student Performance in Courses that Promote Learning Objectives

Learning Objective 1
Statistics majors will demonstrate mastery of foundational mathematics in calculus, linear algebra, and foundations of analysis.

This material is delivered and assessed in the courses MATH 1210 (Calculus I), MATH 1220 (Calculus II), MATH 2210 (Multivariable Calculus), MATH 2270 (Linear Algebra), and MATH 4200 (Foundations of Analysis).

Learning Objective 2
Statistics majors will demonstrate proficiency in basic computer programming.

This material is taught in and assessed in CS 1400 (Introduction to Computer Science).

Learning Objective 3
Statistics majors will demonstrate proficiency in two statistical programming languages, and be able use these languages for data exploration, visualization, cleaning, and analysis.

This material is taught and assessed in several 5000 level statistics classes, including STAT 5100 (Linear Regression and Time Series) and STAT 5200 (Design of Experiments), which are required of all students in the major.

Learning Objective 4
Statistics majors will demonstrate proficiency in the application of multiple statistical methods in the analysis of data.

This material is taught and assessed in most 5000 level statistics classes.

Learning Objective 5
Statistics majors will demonstrate proficiency in the theoretical underpinnings of probability and statistical inference.

This material is taught and assessed in MATH 5710 (Introduction to Probability) and MATH 5720 (Introduction to Mathematical Statistics).

Learning Objective 6
Statistics majors will demonstrate proficiency in the communication of the processes, methods and results of statistical analyses.

As part of Utah State University’s University Studies program students are required to take two Communications Intensive (CI) courses, preferably within their majors.  For Statistics majors, STAT 5100 (Linear Regression and Time Series), STAT 5600 (Applied Multivariate Statistics) and MATH 4200 (Foundations of Analysis) all carry the CI designation but many other 5000 level statistics courses have significant oral and written communication components.

 

  1. Student Evaluations of Courses and Instructors
    The standardized USU course evaluation form is conducted in all courses taught by Mathematics and Statistics faculty to allow students to evaluate both the course and the instructor.
  1. College of Science Interviews and Questionnaire
    Each year, the Dean of the College of Science interviews a number of majors from each department in the college. In addition, every student applying for graduation in the College of Science is given a questionnaire to complete. These collectively provide information on general student satisfaction with the degree program, courses, faculty and facilities. This information is collected anonymously and then returned to the department in the summer following graduation.
  1. Self-Study and External Review
    The Department of Mathematics and Statistics periodically conducts a Regents-mandated self-study and external review. The self-study allows the faculty to reassess the program and its direction as well as its goals and objectives. The recommendations made by the external review team are used to modify and improve the program.
  1. Capstone Experience and Math GRE
    Beginning in 2017-18, the Department of Mathematics and Statistics will formally organize a capstone experience for undergraduates, in order to consistently measure the broader impact of the program on our learning objectives. This capstone experience will be fulfilled by one of the following: (1) a senior thesis on a special topic within the mathematical sciences, resulting in a concise report and oral presentation; (2) preparing and taking the GRE Mathematics Subject Test; or (3) the successful completion of an internship for USU credit.
  1. Student success in subsequent graduate programs
    A significant proportion of our graduating students in Mathematics and Statistics pursue graduate and professional degrees. Successful admission into such programs and subsequent degree completion can also help to understand how Beginning in 2016-17, these outcomes will be tracked both retrospectively and prospectively, for use in future calibration of our undergraduate programs.