The Statistics certificate is a great fit for students who wish to use statistical principles to solve data problems with a mathematical approach. Students will 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 | ||
| Calculus with Algebra and Trigonometry I and Calculus with Algebra and Trigonometry II | ||
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 option | 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 option | 3-4 | |
| Applied Regression Analysis | ||
| Data Science Modeling II | ||
| Probability, complete one option | 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 one option | 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 | ||
| 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.
Students will need at least MATH 211 Survey of Calculus 1/MATH 213 Survey of Calculus 2 or MATH 221 Calculus and Analytic Geometry 1/MATH 222 Calculus and Analytic Geometry 2 to complete the Statistics certificate requirements.
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