Statistics (B.S.)
The courses offered by the Department of Mathematics serve several purposes; they supply the mathematical preparation necessary for students specializing in the physical, life or social sciences, in business administration, in engineering, and in education; they provide a route by which students may achieve a level of competence to do research in any of several special mathematical areas; they allow students to prepare themselves for work as mathematicians and statisticians in industry and government; and they give an opportunity to all inquisitive students to learn something about modern mathematical ideas.
Admission Requirements
Admission requirements for this program are satisfied by the general requirements for undergraduate admission to the University. Undergraduates declaring a mathematics major are strongly encouraged to meet with a departmental advisor before doing so. After a student's acceptance as a major, a student should consult a Departmental advisor at least once a semester to verify progress.
Program Requirements
Candidates must complete 120 credits in coursework including satisfaction of the University General Education Requirements and the College of Liberal Arts and Sciences Group Requirements, as well as the departmental major requirements cited below. All coursework must be completed in accordance with the regulations of the University and the College governing undergraduate scholarship and degrees.
It is each student’s responsibility to learn the requirements, policies, and procedures governing the program the student is following and to act accordingly. Students should consult the Department of Mathematics’ undergraduate academic advisor on a regular basis. Although the advisor will provide assistance, the responsibility for fulfilling degree requirements remains with the student.
Major Requirements
Residency: A minimum of 15 credits of major requirements at or above MAT or STA 5030 must be taken at Wayne State University. This includes courses that are considered equivalent to the Mathematics Department's MAT or STA courses and that are approved by the Mathematics Department to meet a major requirement.
Minimum Grade Requirements: The following grade requirements must be satisfied in the major.
- C- or better in all required coursework.
- C or better average for all coursework.
Notes:
- STA courses previously designated by MAT (for example STA 2210 was previously labelled MAT 2210) are the same courses and meet the same requirements.
- Although this policy is found in the College of Liberal Arts and Sciences (CLAS) requirements, it is worth noting that if a student is majoring in a CLAS major, they must obtain at least one minor that has 3 unique courses from the major. This means that at least 3 courses used to complete requirements in the minor must not be used to complete requirements in the major.
- The required courses listed are the minimum that students should complete. Students are encouraged to take more courses in order to strengthen their background and enhance their prospects for employment and/or graduate school.
Course Requirements
| Code | Title | Credits |
|---|---|---|
| Prerequisites | ||
| MAT 2010 | Calculus I | 4 |
| MAT 2020 | Calculus II | 4 |
| MAT 2030 | Calculus III | 4 |
| MAT 2250 | Elementary Linear Algebra | 3 |
| Choose one of the following options (STA 2210 is preferred): | 3-4 | |
| Probability and Statistics | ||
| Quantitative Methods II: Statistical Methods | ||
| Basic Engineering III: Probability and Statistics in Engineering | ||
| Introductory Statistics and Econometrics | ||
| Introduction to Biostatistics | ||
| Core Computing Course (select one of the following) | 3-4 | |
| Problem Solving and Programming | ||
| Introduction to C++ Programming Language | ||
| Core Statistics Courses | 11 | |
| Introduction to Probability Theory | ||
| Introduction to Mathematical Statistics | ||
| Applied Regression Analysis 1 | ||
| Core Statistical Computing Course | 3 | |
| Statistical Computing and Data Analysis | ||
| Additional Statistics Course (select one of the following) | 3-4 | |
| Topological Data Analysis | ||
| Introduction to Stochastic Processes | ||
| Mathematical Models in Operations Research | ||
| Introduction to Data Science | ||
| Applied Time Series | ||
| Special Topics in Mathematics (Topic must be approved by the Math Department) 2 | ||
| Design of Experiments | ||
| Elective Courses (Select two of the following, one of which must be chosen from the first 7 options, ending with MAT 5870.) 3 | 6-8 | |
Any additional course listed in "Additional Statistical Courses". 2 | ||
| Elementary Differential Equations (MAT 2350 is recommended, if available.) | ||
or MAT 2150 | Differential Equations and Matrix Algebra | |
| Elementary Analysis 3 | ||
| Numerical Methods I | ||
| Applied Linear Algebra | ||
| Introduction to Analysis I | ||
| Methods of Optimization | ||
| The Theory of Interest | ||
| Introduction to Econometrics | ||
| Introduction to Business Analytics | ||
| Introduction to Machine Learning and Applications | ||
| Data Science and Analytics | ||
| Variance and Covariance Analysis | ||
| Multivariate Analysis | ||
| Nonparametric, Permutation, Exact, and Robust Methods | ||
| Research and Experimental Design | ||
| Applied Engineering Statistics | ||
| Fundamentals of Six Sigma | ||
| Statistics and Data Analysis in Political Science I | ||
| Advanced Psychological Statistics | ||
| Social Statistics | ||
| Social Statistics and Data Analysis | ||
| Capstone Course | ||
| Writing Intensive Course in Mathematics 1 | ||
| Total Credits | 44-49 | |
- 1
MAT 5993 is linked with STA 6840, and so they must be taken together.
- 2
MAT 5890 must be a statistics course and must be approved by the Department of Mathematics. In case of two or more different MAT 5890 courses, one will be counted as the "Additional Statistics Course” and the other as an “Elective Course."
- 3
Strongly recommended for students interested in graduate study.