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Note: All changes become effective the fall semester following Campus Assembly approval.






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I. Introductory Statement:

This program is in the Division of Science and Mathematics.

II. Objectives:

The mission of the discipline is to advance knowledge of statistics: by teaching statistics and their processes, by research in statistics and by dissemination of this knowledge to students and the community we serve.

Students interested in statistics can design an area of concentration or emphasis in consultation with the statistics faculty. The statistics program serves students who pursue areas of concentration or emphasis in statistics, and those in programs that require a statistics background, or wish to fulfill components of general education. The discipline's mission includes creation and dissemination of statistical knowledge to the community.

The statistics program is designed to provide an effective operational knowledge of the theory and methods of statistics and the application of statistical methods in a liberal arts environment. It seeks to enhance students' critical thinking in domains involving judgments based on data. The statistics program aims to provide students with the basic knowledge and skills to make contributions to modern society. The curriculum also prepares students to enter graduate school, or pursue careers in statistical fields.

III. Assessment:

The discipline uses various assessment methods and tools to evaluate and improve student academic achievement in statistics. The results of the assessment help the discipline to shape a curriculum that is responsive to student needs. The Student Portfolio and Senior Seminar are the major assessment tools used by the discipline. The portfolio includes characteristics of the entering student, documents related to the learning development of the student at UMM, and post-graduation information. Some other assessment methods and tools include performance in course projects, and specially designed exams in some courses. Graduates of the program are surveyed regularly to assess discipline objectives. The Senior Seminar is used to combine the skills of data collection, summarization, exploration, inference, and communication.

IV. Requirements for a Major:

Suggested Requirements for Area of Concentration

Math 1101-1102—Calculus I-II

Stat 1601—Introduction to Statistics or Stat 2601—Statistical Methods

Math/Stat 2501—Probability and Stochastic Processes

Stat 2611—Mathematical Statistics

Stat 3601—Data Analysis

Stat 4901—Senior Seminar

8 additional credits in statistics courses:

Stat 3611—Multivariate Statistical Analysis

Stat 4601—Biostatistics

Stat 4652—Variable Topics in Statistics

Stat x993—Directed Study in Statistics

A minimum of 4 credits to be chosen from:

Math 2101—Calculus III.

Math 2111—Linear Algebra

Math 2201—Mathematical Perspectives

Math 3201—Analysis

Math 3401—Operations Research

Math 3501—Applied Deterministic Modeling for Management Science

Math 3502—Applied Probabilistic Modeling for Management Science

Csci 1211—Introduction to Problem Solving with Java

Csci 1301—Problem Solving and Algorithm Development I

Csci 1302—Problem Solving and Algorithm Development II

Econ 3501—Introduction to Econometrics

Pol 3101—Political Science Analysis

Psy 3601—Quantitative Methods in Psychology

Soc 3101—Research Methodology I

Soc 3102—Research Methodology II

Other courses with faculty approval

Students planning to pursue graduate work in statistics or biostatistics should complete Math 2101—Calculus III and consider taking Math 2201—Mathematical Perspectives and Math 3211—Analysis for Ph.D. preparation.

V. Requirements for a Minor:

Requirements for Area of Emphasis:

Stat 1601—Introduction to Statistics or Stat 2601—Statistical Methods

Stat 3601—Data Analysis

A minimum of 16 additional credits from courses listed in the area of concentration section or approved courses, with at least one course with a Stat designator.

VI. Requirements for Teacher Preparation:


VII. Other heading (include heading title) :