Modern statistics is an exciting subject that affects most aspects of modern living. It has been developed to deal rationally and objectively with the uncertainty that accompanies variation in phenomena as highly complex as the interplay of the many factors that affect our environment. It derives vitality in coping with practical problems arising in all fields of scientific activity, including the social, business, biological, agricultural, medical, natural, and engineering sciences. Investigators' efforts to learn about a specific phenomenon, be it the response of a patient to a certain medical treatment or the effectiveness of a particular instructional program on a student's learning, are impacted by the presence of natural variation. The field of statistics is concerned with valid and efficient ways to learn more about these phenomena in the presence of such variation. It is an inductive science in which information is extracted from sample data in order to draw inferences. This process most often involves planning experiments or designing studies to ensure that valid answers to questions are obtained from the sample.
To declare the statistics major, student should set up an appointment with a statistics major advisor prior to attaining senior standing (86 credits).
Prospective majors are strongly recommended to have completed the following classes before declaring the major:
University General Education Requirements
All undergraduate students at the University of Wisconsin–Madison are required to fulfill a minimum set of common university general education requirements to ensure that every graduate acquires the essential core of an undergraduate education. This core establishes a foundation for living a productive life, being a citizen of the world, appreciating aesthetic values, and engaging in lifelong learning in a continually changing world. Various schools and colleges will have requirements in addition to the requirements listed below. Consult your advisor for assistance, as needed. For additional information, see the university Undergraduate General Education Requirements section of the Guide.
|General Education|| |
* The mortarboard symbol appears before the title of any course that fulfills one of the Communication Part A or Part B, Ethnic Studies, or Quantitative Reasoning Part A or Part B requirements.
College of Letters & Science Breadth and Degree Requirements: Bachelor of Arts (B.A.)
Students pursuing a bachelor of arts degree in the College of Letters & Science must complete all of the requirements below. The College of Letters & Science allows this major to be paired with either a bachelor of arts or a bachelor of science curriculum. View a comparison of the degree requirements here.
Bachelor of Arts degree requirements
|Mathematics||Fulfilled with completion of University General Education requirements Quantitative Reasoning a (QR A) and Quantitative Reasoning b (QR B) coursework. Please note that some majors may require students to complete additional math coursework beyond the B.A. mathematics requirement.|
|Foreign Language|| |
Note: A unit is one year of high school work or one semester/term of college work.
|L&S Breadth|| |
|Liberal Arts and Science Coursework||108 credits|
|Depth of Intermediate/Advanced work||60 intermediate or advanced credits|
|Major||Declare and complete at least one (1) major|
|Total Credits||120 credits|
|UW-Madison Experience||30 credits in residence, overall |
30 credits in residence after the 90th credit
|Minimum GPAs||2.000 in all coursework at UW–Madison |
2.000 in intermediate/advanced coursework at UW–Madison
Non–L&S students pursuing an L&S major
Non–L&S students who have permission from their school/college to pursue an additional major within L&S only need to fulfill the major requirements and do not need to complete the L&S breadth and degree requirements above.
Requirements for the Major
|MATH 221||Calculus and Analytic Geometry 1 (must be completed with grade of C or higher) 1||5|
|MATH 222||Calculus and Analytic Geometry 2 (must be completed with grade of C or higher) 1||4|
|MATH 234||Calculus--Functions of Several Variables (must be completed with grade of C or higher) 1||4|
|MATH 340||Elementary Matrix and Linear Algebra 1||3|
|or MATH 341||Linear Algebra|
|Select one of the following: 2||3|
|Introduction to Data Programming|
|Introduction to Numerical Methods|
|Linear Programming Methods|
|Introductory Statistics and Basic Statistical Language|
|STAT 302||Accelerated Introduction to Statistical Methods||3|
|STAT 327||Learning a Statistical Language (Introductory Data Analysis with R)||1|
|Linear Statistical Models|
|STAT 333||Applied Regression Analysis||3|
|STAT/M E 424||Statistical Experimental Design||3|
|Probability (one course):||3|
|Introduction to Probability and Mathematical Statistics I|
|Introduction to Theory and Methods of Mathematical Statistics I|
|Introduction to the Theory of Probability|
|STAT/MATH 310||Introduction to Probability and Mathematical Statistics II 3||3|
|STAT electives to reach minimum credits required:||9|
|Introduction to Time Series|
|Introductory Nonparametric Statistics|
|An Introduction to Sample Survey Theory and Methods|
|Applied Categorical Data Analysis|
|Applied Multivariate Analysis|
|Introduction to Computational Statistics|
|Special Topics in Statistics 4|
|Statistical Methods for Spatial Data|
|Statistical Methods for Clinical Trials|
|Special Topics in Statistics|
|Directed Study 5|
|Select either Math Concentration or Applied Concentration||6-12|
An acceptable equivalent for all four of the required mathematics courses is MATH 275 Topics in Calculus I, MATH 276 Topics in Calculus II, MATH 375 Topics in Multi-Variable Calculus and Linear Algebra, and MATH 376 Topics in Multi-Variable Calculus and Differential Equations. MATH 275 and MATH 276 are acceptable equivalents for MATH 221 Calculus and Analytic Geometry 1 and MATH 222 Calculus and Analytic Geometry 2, respectively. MATH 211 Calculus and MATH 213 Calculus and Introduction to Differential Equations are NOT acceptable equivalents for MATH 221, MATH 222, and MATH 234 Calculus--Functions of Several Variables. (Students who have completed MATH 211 and MATH 213 are encouraged to take the Department of Mathematics’ Calculus Exam to determine placement in the MATH 221–MATH 222–MATH 234 sequence).
COMP SCI 300 is highly recommended because it will be particularly beneficial in most future careers. Students who have prior computing experience equivalent to COMP SCI 200 (such as AP computer science) are recommended to take COMP SCI 300, and students who will pursue a second major in computer science must take COMP SCI 300 and COMP SCI 400 to satisfy the computer science major requirements.
STAT 479 Special Topics in Statistics can be repeated for elective credit when enrolled for different topics.
Up to 3 credits of STAT 699 Directed Study can count toward these 9 credits. No course identified in Concentration 1 of the major can count towards these 9 credits.
Students intending to pursue graduate study in statistics are strongly advised to take more math classes than the minimum requirements. Linear algebra and real analysis are typically the most important areas of mathematics needed for graduate study in statistics.
Select at least 6 additional credits of the following:
|MATH 319||Techniques in Ordinary Differential Equations||3|
|MATH 421||The Theory of Single Variable Calculus||3|
|MATH 443||Applied Linear Algebra||3|
|MATH/COMP SCI/STAT 475||Introduction to Combinatorics||3|
|MATH/COMP SCI 514||Numerical Analysis||3|
|MATH 521||Analysis I||3|
|MATH 522||Analysis II||3|
|MATH 541||Modern Algebra||3|
|MATH 605||Stochastic Methods for Biology||3|
|MATH 629||Introduction to Measure and Integration||3|
|MATH/I SY E/OTM/STAT 632||Introduction to Stochastic Processes||3|
Select at least 12 credits of coursework at the 300 level and higher in an area of application of statistical methods as approved by the student's major advisor. This area of application can represent study areas where statistical methods are applied, such as in the natural and social sciences and engineering. This requirement can often be met by the completion of a major in such a study area.
L&S Requirements for residence and quality of work in the major
- 2.000 grade point average in all STAT and major courses
- 2.000 grade point average in 15 credits of upper-level work in the major completed in residence. Courses that count toward this requirement are STAT courses: STAT 302 Accelerated Introduction to Statistical Methods to STAT 699 Directed Study, excluding STAT 324 Introductory Applied Statistics for Engineers, STAT 371 Introductory Applied Statistics for the Life Sciences, STAT 441 Introduction to Biostatistics for Pharmacy, STAT/F&W ECOL/HORT 571 Statistical Methods for Bioscience I, and STAT/F&W ECOL/HORT 572 Statistical Methods for Bioscience II.
- 15 credits in STAT subject, taken on campus
Honors in the Major
Students may declare Honors in the Statistics Major in consultation with the Statistics major advisor(s). To be admitted to the Honors Program in Statistics, students must have declared statistics, must have a 3.500 overall university GPA, and must have completed STAT 302 Accelerated Introduction to Statistical Methods, STAT/MATH 309 Introduction to Probability and Mathematical Statistics I and STAT 333 Applied Regression Analysis with a GPA of 3.500 or higher.
Honors in the Statistics Major Requirements
To earn a B.A. or B.S. with Honors in the Major in Statistics, students must satisfy both the requirements for the major (above) and the following additional requirements:
- Earn a 3.500 overall university GPA
- Earn a 3.500 GPA for all STAT courses, and all courses accepted in the major
- Complete one of the following:
- Two courses, taken for Honors, with individual grades of B or better, from Linear Statistical Models, Mathematical Statistics, or Statistics Electives other than STAT 699 Directed Study, or
- Complete an additional course worth 3 credits from the Statistics Electives list (for a total of 12 statistics electives)
- Complete a two-semester Senior Honors Thesis in STAT 681 Senior Honors Thesis and STAT 682 Senior Honors Thesis, for a total of 6 credits, under the supervision of a member of the faculty of the Department of Statistics.
University Degree Requirements
|Total Degree||To receive a bachelor's degree from UW–Madison, students must earn a minimum of 120 degree credits. The requirements for some programs may exceed 120 degree credits. Students should consult with their college or department advisor for information on specific credit requirements.|
|Residency||Degree candidates are required to earn a minimum of 30 credits in residence at UW–Madison. "In residence" means on the UW–Madison campus with an undergraduate degree classification. “In residence” credit also includes UW–Madison courses offered in distance or online formats and credits earned in UW–Madison Study Abroad/Study Away programs.|
|Quality of Work||Undergraduate students must maintain the minimum grade point average specified by the school, college, or academic program to remain in good academic standing. Students whose academic performance drops below these minimum thresholds will be placed on academic probation.|
- Students will be able to frame a scientific question with the appropriate mode of data analysis, to analyze such data correctly, and to summarize and interpret the results in a useful manner. They will master a number of key statistical techniques, certainly including significance testing, goodness-of-fit testing, and regression analysis, which are common tools in analyzing data. This will include a careful checking of assumptions that underlie the techniques.
- Students will be able to design experiments/studies — in conjunction with scientists proposing the study — that will lead in an efficient manner to the collection of data that can be properly analyzed. They will be able to design studies with multiple factors taking variable reduction techniques into account. They will also be able to interpret and critique designs they encounter in analyzing data.
- Students will be able to use tools from mathematical statistics and probability to assess the quality of point estimators, confidence intervals, and hypothesis tests. They will also be able to demonstrate the skills to connect methods of application to their theoretical underpinnings.
- Students will be able to use a statistical language (with emphasis on R) to manipulate data and perform exploratory data analysis using basic statistical methods. They will be able to write structured R programs using conditional expressions, loops, and functions and to use regular expressions to extract data from text and make high-level visualizations.
- Students will be able to evaluate critically articles that use statistical argumentation. They will be able to assess whether or not the statistical arguments have been developed properly and the conclusions are reliable. If the arguments are not properly developed, they will be able to provide specific evidence for this.
Looking for statistics advising?
Students who are interested in statistics academic advising for the statistics major should contact the advisor group by email: firstname.lastname@example.org.
So what can you do with a statistics major after you graduate?
Well-trained statisticians are in strong demand and have excellent employment prospects. Statisticians work in industry and business, in government, and in universities and other research institutions.
In most cases an undergraduate major in statistics can find employment as a quantitative analyst or other “generalist” position. A number of our graduates have been successful following this path. However, in most cases, positions aimed at “professional statisticians” require a master's (or Ph.D.) degree. As a professional statistician, typical employment in industry might be as a statistical consultant to biologists, engineers, and/or other scientists in a research and development branch of a large company.
The single, best place to look for statistics jobs is the American Statistical Association Career Center. Consult with a statistics undergraduate advisor about the best fit for you.
Statistical training is seen as very desirable in many other areas (e.g., agricultural, biological, engineering, and social sciences, business, and economics) where the primary activity may not be statistics. In view of this, statistics may often be a strong choice for a second or additional major.
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