All BS in Statistics majors will take a minimum of 53 credits of courses within the major. These 53 credits will consist of 38 credits of specific required courses, plus a minimum of 15 credits of Statistics elective courses.

* Students who complete the BS in Statistics will automatically fulfill the necessary requirements for the Mathematics minor.

Recommended Sequence of Required Courses

Recommended Sequence of Required Courses

First Year

Fall SemesterTotal Credits-16Spring SemesterTotal Credits-16
Course CreditsCourse Credits
CPS 101 Intro to Programming3MTH 115 Basic Statistics3
MTH 171 Calculus I4MTH 172 Calculus II4

Sophomore Year

Fall Semester Total Credits-17Spring SemesterTotal Credits-15
Course CreditsCourse Credits

MTH 116 Basic Statistics II3MTH 215 Mathematical Statistics3
MTH 226 Calculus III4STA 255 Computational Statistics3
MTH 241 Linear Algebra3STA 325 Design of Experiments3
Science Core4Core3

Junior Year

Fall SemesterTotal Credits-15Spring SemesterTotal Credits-15
MTH 315 Mathematical Statistics II3Statistics Elective3
STA 335 Regression Analysis3Statistics Elective3
STA Statistics Elective3Core3
Free Elective3Free Elective3

Senior Year

Fall SemesterTotal Credits-15Spring SemesterTotal Credits-12
Course #CreditsCourse #Credits
Statistics Elective3Free Elective3
Statistics Elective3Free Elective3
Core3Free Elective3
Free Elective3Free Elective3
Free Elective3

Course Descriptions

Required Courses:

CPS 101 – Introduction to Programming - Problem-solving methods; algorithm development; procedural and data abstraction; and program design, programming. Intended for students who plan to continue with other computer science courses.

MTH 115 – Basic Statistics - An introduction to the use of statistical methods with emphasis on practical applications. Descriptive statistics, introduction to probability, estimation of parameters, introduction to hypothesis testing, correlation, and linear regression.

MTH 116 – Basic Statistics II - Hypothesis testing, analysis of variance, correlation and regression analysis, non-parametric statistics.
Prerequisite: MTH 115

MTH 171 – Calculus I (4 credits) - Functions, limits, continuity, derivatives, definite integrals, and applications.

MTH 172 – Calculus II (4 credits) - Transcendental functions, techniques of integration, sequences, series, and applications.
Prerequisite: MTH 171: Calculus I

MTH 226 – Calculus III (4 credits) - Vectors, multivariable and vector-valued functions, partial derivatives, multiple integrals, and applications.
Prerequisite: MTH 172

MTH 215 – Mathematical Statistics - Probability theory, games of chance, probability distributions, testing of hypotheses, curve fitting, and correlation.
Prerequisite: MTH 172. Spring (odd years only)

MTH 241 – Linear Algebra - Systems of linear equations, vector space, inner products, determinants, eigenvalues and eigenvectors, and applications.
Prerequisite: MTH 172 or permission of the instructor.
Fall (odd years only)

MTH 315 – Mathematical Statistics II - Multivariate distributions, estimation and hypothesis tests for multiple parameters, regression and correlation, analysis of variance.
Prerequisites: MTH 215 and MTH 226.

STA 255 – Computational Statistics - Using statistical software for date management, graphical and numerical statistics, and inferential statistics analysis.
Prerequisites: MTH 116 or MTH 315

STA 325 – Design of Experiments - Completely randomized, randomized block, Latin square, factorial and fractional factorial designs.
Prerequisite: MTH 116

STA 335 – Regression Analysis - Polynomial and multiple regression, residual analysis, applications to models.
Prerequisite: MTH 116

Electives (5 courses, at least 3 with STA designation):

MTH 320 - Actuarial Mathematics I - Applying probability theory to problems in actuarial science, finance and insurance; utilizing discrete, continuous and multivariate distributions.
Prerequisites: MTH 215 and MTH 226.

MTH 441 - Real Analysis I - (Formerly MTH 341) Real number system, topology, sequences, limits, continuity, and differentiability.
Prerequisites: MTH 226, MTH 244.
Spring (even years only)

MTH 442 - Real Analysis II - (Formerly MTH 342) Continuation of MTH 441, including measure and integration.
Prerequisite: MTH 441.
Fall (even years only)

STA 413 -Statistics Cooperative Education - Academic study combined with work experience in the community.
Prerequisite: Prerequisite determined by project requirements

STA 415 -Sampling - Sampling methods including random and stratified sampling, unequal probability sampling, cluster and systematic sampling, multistage designs, double sampling.
Prerequisites: MTH 116 or MTH 315

STA 428 - Non-parametric Statistics - Nonparametric methods including Sign, Wilcoxon signed rank, Kruskal-Wallis and other distribution-free tests; rank correlation.
Prerequisites: MTH 116 or MTH 315

STA 430 - Analysis of Variance (ANOVA) - Develops statistical model for the analysis of variance with applications to regression analysis, testing equality of means, fixed and random effects, theory of designs.
Prerequisites: MTH 116 or MTH 315

STA 480 - Independent Study - Special investigation of a selected topic.
Prerequisite: Prerequisite determined by the topic selected

STA 486 - Special Topics in Statistics - Topics vary from semester to semester and will be announced with preregistration information.
Prerequisite: Prerequisite determined by the topic selected

CPS 121 - Computer Programming - Control structures, top-down programming and stepwise refinement. Debugging, testing, and documentation.
Prerequisite: CPS 101 or knowledge of language used in CPS101 and permission of instructor.
Spring only

CPS 232 -Data Structures and Algorithm Analysis - Design and analysis of non-numeric algorithms, particularly for sorting/merging/searching. Algorithm testing and complexity.
Prerequisite: CPS 121 or permission of the director.

CPS 432 -Database Management Systems Design - Introduction to database concepts, data models, data description languages, query facilities, file, and index organization. Data integrity, reliability, and security. Students work with real database management systems.
Prerequisite: CPS 121 or permission of the program director

PSY 233 -Advanced Research Methods -This course is the second of a two-semester sequence of research related courses required of all psychology majors. The goal of the course is to help students develop the skills necessary to conduct research in psychology. Students will learn how to conduct research from identifying a problem to interpreting results. These skills will be developed through the completion of assigned laboratory exercises and a small independent research project.
Prerequisite: PSY 232. Spring only

Additional Statistics elective courses may be chosen with departmental approval.

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