Browse all Statistics courses →
Red: department · Gray: UW–Madison
GPA and percentages are weighted by recorded letter grades. UW comparisons use the same terms. Cross-listed courses count once within this department and once across UW; department totals should not be added together. Grade counts are not unique students. Offering counts reflect captured records, not a complete historical schedule.
Grades have not been recorded for this term. Historical results remain in the overview above.
Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
STAT 424 introduces statistical experimental design, covering randomization, blocking, factorial designs, and response surface methodology with engineering applications.
Offering recorded · Fall 2026
Workload involves writing R code for homework, while exams are often predictable and similar to practice problems, though self-study via the textbook is recommended.
historical GPA · grades
Spring 2022–Spring 2026STAT 436 teaches data visualization techniques within data science workflows, covering data preparation, exploratory analysis, and model interpretability.
Offering recorded · Fall 2026
The course uses a flipped format with pre-lecture readings, a large group project, and exams. Some students find it easy to succeed with minimal effort, while others note the material requires deep engagement.
historical GPA · grades
Spring 2023–Spring 2026STAT 441 teaches statistical modeling and data science techniques to derive actionable insights from sports data.
Offering recorded · Fall 2026
Historical reviews of Ismor Fischer: Reviewers note lengthy assignments and open-book exams as specific workload components.
No recorded grade history
Covers pattern classification, regression, clustering, and dimensionality reduction with a focus on statistical evaluation and Python implementation.
Offering recorded · Fall 2026
Historical reviews of John Gillett, Sebastian Raschka: Workload is generally manageable with recorded lectures, though Gillett's exams can be difficult and require careful review, while one review cites unorganized materials and confusing group policies.
historical GPA · grades
Spring 2022–Spring 2026Introduction to deep learning and generative models connecting neural networks to statistical concepts.
Offering recorded · Fall 2026
Historical reviews of Yiqiao Zhong: Reviewers note low overall workload, though exams can be confusing if lecture concepts are not understood. One student found the difficulty manageable with effort, while another cited flexible deadlines and fine tests.
historical GPA · grades
Spring 2023–Spring 2026STAT 461 teaches advanced statistical methodologies for modern finance, including discrete and continuous stochastic models.
Offering recorded · Fall 2026
Historical reviews of Yazhen Wang: Reviewers found homeworks difficult and exams tricky, noting that the lack of a textbook and study aids made preparation challenging.
historical GPA · grades
Fall 2023–Fall 2025STAT 479 covers special topics in statistics of interest to undergraduate students.
Offering recorded · Fall 2026
Historical reviews of John Gillett, Karl Rohe, Kris Sankaran: Workload varies by instructor; Gillett’s course required independent Linux learning and debugging, while Sankaran’s recent term involved graduate-level assignments. Sankaran’s earlier terms featured spread-out homeworks, and Rohe provided few guidelines.
historical GPA · grades
Spring 2022–Spring 2026STAT 601 provides a thorough grounding in modern statistical methods, covering data collection, exploration, probability, and analysis.
Offering recorded · Fall 2026
Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work.
historical GPA · grades
Spring 2022–Fall 2025STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.
Offering recorded · Fall 2026
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Fall 2022–Spring 2026STAT 609 covers mathematical statistics, including probability theory, distribution theory, and limit theorems like the Central Limit Theorem.
Offering recorded · Fall 2026
One reviewer reports that homework and class content differ significantly from the test, requiring preparation for a difficult exam experience.
historical GPA · grades
Fall 2022–Fall 2025STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation.
Offering recorded · Fall 2026
Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term.
historical GPA · grades
Spring 2022–Fall 2025STAT 611 covers probability, distributions, generating functions, and limit theorems for statistical modeling in data science.
Offering recorded · Fall 2026
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Fall 2023–Fall 2025 · limited sampleSTAT 613 teaches modern statistical methods and data analysis techniques, covering linear regression, diagnostics, prediction, and experimental design.
Offering recorded · Fall 2026
historical GPA · grades
Fall 2023–Fall 2025 · limited sampleSTAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.
Offering recorded · Fall 2026
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Spring 2022–Spring 2026Turns statistics concepts into practice through data science practicums inspired by realistic projects.
Offering recorded · Fall 2026
Historical reviews of Hyunseung Kang: The class is a lot of work, with grades heavily dependent on randomly assigned group projects and unclear grading criteria.
historical GPA · grades
Fall 2022–Spring 2026STAT 679 covers special topics in statistics at the master's level, with subject matter varying by offering.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2026STAT 681 is a mentored individual study course for students writing an honors thesis.
Offering recorded · Fall 2026
No recorded grade history
STAT 682 is a mentored individual study course for students writing an honors thesis.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2022 · limited sampleSTAT 698 is a directed study course where students arrange and complete projects with a faculty member.
Offering recorded · Fall 2026
No recorded grade history
STAT 699 is a directed study course where students engage in projects arranged with a faculty member.
Offering recorded · Fall 2026
A directed study with Cecile Ane focused on genuine learning and conceptual understanding rather than just completion.
historical GPA · grades
Spring 2022–Spring 2022 · limited sampleSTAT 701 covers the theory and application of discrete time series models, focusing on forecasting, model building, and diagnostic checking.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2025 · limited sampleSTAT 703 is a graduate internship course where students apply statistics principles in a professional setting through a full-time practical internship.
Offering recorded · Fall 2026
No recorded grade history
Introduction to quantum data science covering probability, statistics, and machine learning applied to quantum information science.
Offering recorded · Fall 2026
No recorded grade history
STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.
Offering recorded · Fall 2026
STAT 990 is an independent research and writing course for graduate students under faculty supervision.
Offering recorded · Fall 2026
No recorded grade history
STAT 992 is a graduate-level seminar covering special topics in statistics, with subject matter varying by offering.
Offering recorded · Fall 2026
Historical reviews of Joshua Cape: The review does not specify workload or difficulty, only noting the material is delivered in an easy-to-understand way.
historical GPA · grades
Fall 2022–Spring 2026STAT 998 is a consulting apprenticeship course for graduate or professional students.
Offering recorded · Fall 2026
Historical reviews of Sunduz Keles: Students complete a full consulting process with non-statistical clients, involving training steps and sharing stories with invited data scientists.
historical GPA · grades
Fall 2022–Spring 2026No released grades for this term.
Offering snapshots currently cover Fall 2026. Earlier grade records do not provide a complete offering history.