Statistics, B.S.
Program Description
The Department of Mathematics and Statistics offers a major in statistics to meet the needs of both the public and the private sectors for graduates with degrees in statistics. Students may choose either a standard statistics major or a statistics major with a data science concentration. The required courses provide a balance of applications and theory, which allows students to prepare for immediate employment or graduate studies by proper selection of the program electives.
Degree Requirements
| Degree Requirements | Credit Hours |
|---|---|
| General Education 1,2 | 41 |
| Quantitative requirement 2 | 3 |
| Scientific Literacy requirement (in addition to General Education) | 3-4 |
| Major requirements (listed below) | 44-46 |
| University electives | 29-32 |
| Total | 120 |
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The General Education program contains a set of requirements each student must fulfill. Some requirements may be fulfilled by courses within the major. The quantitative requirement is also met by courses within the major and not included in the 120 credit hour total.
Major Requirements
All majors must complete 22 credits of core courses and an additional 22-24 required credits for the B.S. in Statistics. These additional credit hours may be fulfilled by completing a concentration in data science. Students interested in pursuing graduate studies in statistics are strongly encouraged to double-major in statistics and mathematics.
| Code | Title | Credits |
|---|---|---|
| Core Courses | ||
| MATH 229 | Introduction to Applied Statistics Using R [C3QR] 1 | 3 |
| MATH 236 | Calculus II | 4 |
| MATH 322 | Applied Linear Regression | 3 |
| MATH 327 | Categorical Data Analysis | 3 |
| MATH 329 | Introduction to Probability and Theoretical Statistics | 3 |
| MATH 421 | Applied Multivariate Statistical Analysis | 3 |
| MATH 426 | Probability and Mathematical Statistics I | 3 |
| Subtotal | 22 | |
| Additional Requirements | ||
| Choose one of the following options: | 22-24 | |
Additional Required Courses and Restricted Electives | ||
Data Science Concentration | ||
| Subtotal | 22-24 | |
| Total Credits | 44-46 | |
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MATH 220 with a minimum grade of B- may be substituted for MATH 229 if the student received credit for MATH 220 before declaring a statistics major.
Additional Requirements
Students who do not elect to complete a concentration in data science must take the following 22-24 credit hours.
| Code | Title | Credits |
|---|---|---|
| Additional Required Courses | ||
| MATH 237 | Calculus III | 4 |
| MATH 321 | Analysis of Variance and Experimental Design | 3 |
| MATH 428 | Statistical Consulting | 3 |
| MATH 238 | Linear Algebra with Differential Equations | 3-4 |
| or MATH 300 | Linear Algebra | |
| MATH 248 | Computers and Numerical Algorithms | 3-4 |
| or MATH 309 | SAS Programming and Data Management | |
| Subtotal | 16-18 | |
| Restricted Electives | ||
| Choose six credit hours from the following: | 6 | |
| Data Analysis and Visualization | ||
| Applied Nonparametric Statistics | ||
| Survey Sampling Methods | ||
| Statistical Quality Control | ||
| Time Series Analysis | ||
| Introduction to Biometrics | ||
| Introduction to Machine Learning | ||
| Statistical Computing | ||
| Advanced Calculus I | ||
| Advanced Calculus II 1 | ||
| Stochastic Processes | ||
| Statistical Decision Theory | ||
| Probability and Mathematical Statistics II | ||
| Research Project in Statistics | ||
| Subtotal | 6 | |
| Total Credits | 22-24 | |
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MATH 411 is recommended for students planning to do graduate work in statistics.
Data Science Concentration
Students who declare the concentration in data science must take the following 24 credit hours in addition to the core courses.
| Code | Title | Credits |
|---|---|---|
| Additional Required Courses | ||
| DATA 200 | Introduction to Data | 3 |
| MATH 250 | Programming for Data Science | 3 |
| MATH 251 | Database Queries | 3 |
| MATH 268 | Data Analysis and Visualization | 3 |
| MATH 300 | Linear Algebra | 3 |
| MATH 358 | Introduction to Machine Learning | 3 |
| Subtotal | 18 | |
| Electives | ||
| Choose six credit hours from the following: | 6 | |
| Analysis of Variance and Experimental Design | ||
| Applied Nonparametric Statistics | ||
| Survey Sampling Methods | ||
| Statistical Quality Control | ||
| Time Series Analysis | ||
| Operations Research I | ||
| Introduction to Biometrics | ||
| Statistical Computing | ||
| Advanced Calculus I | ||
| Advanced Calculus II 1 | ||
| Stochastic Processes | ||
| Statistical Decision Theory | ||
| Probability and Mathematical Statistics II | ||
| Research Project in Statistics | ||
| Advanced Linear Algebra | ||
| Subtotal | 6 | |
| Total Credits | 24 | |
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MATH 411 is recommended for students planning to do graduate work in statistics.
Recommended Schedule for Majors
| First Year | Credits | |
|---|---|---|
| Madison Foundations | 9 | |
| MATH 229 | Introduction to Applied Statistics Using R [C3QR] | 3 |
| MATH 236 | Calculus II | 4 |
| MATH 309 | SAS Programming and Data Management 1 | 3 |
| General Education requirement | 11 | |
| Credits | 30 | |
| Second Year | ||
| MATH 237 | Calculus III | 4 |
| MATH 321 | Analysis of Variance and Experimental Design | 3 |
| MATH 322 | Applied Linear Regression | 3 |
| MATH 329 | Introduction to Probability and Theoretical Statistics | 3 |
| General Education requirement / Electives | 17 | |
| Credits | 30 | |
| Third Year | ||
| MATH 300 | Linear Algebra 2 | 3 |
| MATH 327 | Categorical Data Analysis | 3 |
| General Education requirement / Electives | 24 | |
| Credits | 30 | |
| Fourth Year | ||
| MATH 421 | Applied Multivariate Statistical Analysis | 3 |
| MATH 426 | Probability and Mathematical Statistics I | 3 |
| MATH 428 | Statistical Consulting | 3 |
| Electives | 21 | |
| Credits | 30 | |
| Total Credits | 120 | |