The Statistics certificate is a great fit for students who wish to use statistical principles to solve data problems with a mathematical approach. Students develop knowledge and skills in analytics and statistics, such as understanding how to work with data and applying their analysis within their given major or domain area. Statistics continues to be one of the fastest growing employment sectors in the nation and in Wisconsin and the Statistics certificate will allow a broader range of students to gain these highly desired skills.
Students in the certificate will gain “scientific, professional and technological expertise, and a sense of purpose.”
How to Get in
Students must have credit for the following to declare the certificate:
| Code | Title | Credits |
|---|---|---|
| Complete one introductory statistics course | ||
| Applied Statistics for Biomedical Engineers | ||
| Statistics: Measurement in Economics | ||
| Introduction to Industrial Statistics | ||
| Data Science Modeling I | ||
| Introduction to Statistical Methods | ||
| Introduction to Statistics for Science and Engineering | ||
| Introductory Applied Statistics for the Life Sciences | ||
| Complete one calculus course | ||
| Survey of Calculus 1 | ||
| Calculus and Analytic Geometry 1 | ||
MATH 171 & MATH 217 | and | |
Information on how to declare the certificate is available on our website. Students are encouraged to schedule a meeting with a Statistics advisor if they have questions.
Students declared in the Statistics major or Data Science major are not eligible to declare this certificate.
Requirements
The certificate requires a minimum of 13 credits.
| Code | Title | Credits |
|---|---|---|
| Introductory Statistics (complete one course): | 3-4 | |
| Applied Statistics for Biomedical Engineers | ||
| Statistics: Measurement in Economics | ||
| Introduction to Industrial Statistics | ||
| Data Science Modeling I | ||
| Introduction to Statistical Methods | ||
| Introduction to Statistics for Science and Engineering | ||
| Introductory Applied Statistics for the Life Sciences | ||
| Statistical Language | 1 | |
| R for Statistics I | ||
| Regression Analysis (complete one course): | 3-4 | |
| Applied Regression Analysis | ||
| Data Science Modeling II | ||
| Probability (complete one course): | 3 | |
| Introduction to Random Signal Analysis and Statistics | ||
| Introduction to Probability and Mathematical Statistics I | ||
| Introduction to Theory and Methods of Mathematical Statistics I | ||
| Introductory Probability | ||
| Introduction to the Theory of Probability | ||
| Probability Theory | ||
| Elective, complete at least 3 credits below | 3 | |
| R for Statistics II | ||
| R for Statistics III | ||
| Introduction to Probability and Mathematical Statistics II | ||
| Introduction to Theory and Methods of Mathematical Statistics II | ||
| Introduction to Time Series | ||
| Introductory Nonparametric Statistics | ||
| Data Science Computing Project | ||
| An Introduction to Sample Survey Theory and Methods | ||
| Applied Categorical Data Analysis | ||
| Statistical Experimental Design | ||
| Data Science with R | ||
| Statistical Data Visualization | ||
| Classification and Regression Trees | ||
| Introduction to Machine Learning and Statistical Pattern Classification | ||
| Introduction to Deep Learning and Generative Models | ||
| Applied Multivariate Analysis | ||
| Financial Statistics | ||
| Introduction to Computational Statistics | ||
| Special Topics in Statistics | ||
| Statistical Methods for Spatial Data | ||
| Statistics in Human Genetics | ||
| Statistical Methods for Clinical Trials | ||
| Statistical Methods for Epidemiology | ||
| Total Credits | 13 | |
Residence and Quality of Work
- At least 7 certificate credits must be completed in residence
- Minimum 2.000 GPA on all certificate courses
Certificate Completion Requirement
This undergraduate certificate must be completed concurrently with the student’s undergraduate degree. Students cannot delay degree completion to complete the certificate.
Learning Outcomes
- Frame a scientific question with the appropriate mode of data analysis, analyze such data correctly, and summarize and interpret the results in a useful manner
- Apply a number of key statistical techniques, including significance testing, goodness-of-fit testing, and regression analysis
- Use tools from mathematical statistics and probability to assess the quality of point estimators, confidence intervals, and hypothesis tests
- Apply a statistical language to manipulate data and perform exploratory data analysis using basic statistical methods
Advising and Careers
Students who are interested in Statistics academic advising should check out the advising information on our website or send an email to statcert@stat.wisc.edu.
Additional courses
Students should plan to complete an introductory calculus sequence, either:
OR
The first Calculus course must be completed before declaring the certificate. The second course is a requisite for many other courses in the certificate.
Study Abroad
Learning in Letters & Science emphasizes discovery, growth, understanding different perspectives, and challenging yourself, which makes studying abroad an excellent fit for many L&S students: studyabroad.wisc.edu
As a university with global influence, we have more than 300 study abroad programs in over 80 countries. These vary in length, academic focus, teaching format, language requirements, cost, and level of independence. There are many programs to complement every major and any year of college (including the final semester)—and all meet UW–Madison’s high academic standards. Students admitted into Letters & Science can even choose a short program in the summer before they start college or their whole first year: studyabroad.wisc.edu/launch. Talk with your academic advisor about how studying abroad might fit with your academic plan.
SuccessWorks
SuccessWorks at the College of Letters & Science helps you turn the academic skills learned in your classes into a fulfilling life, guiding you every step of the way to securing jobs, internships, or admission to graduate school.
Through one-on-one career advising, events, and resources, you can explore career options, build valuable internship and research experience, and connect with supportive alumni and employers who open doors of opportunity.
- What you can do with your major (Major Skills & Outcomes Sheets)
- Make a career advising appointment
- Learn about internships and internship funding
- Try “Jobs, Internships, & How to Get Them,” an interactive guide in Canvas for enrolled UW–Madison students