Spring 2026 Course Offerings

Undergraduate Statistics Course List   Graduate Statistics Course List   Course Search

Course descriptions can be found on the catalog pages linked above. Please note that these course listings are subject to change.


Introduction to Data Science I
STAT 11800=DATA 11800
Varada Shevade
Sec 1: TR 9:30 AM–10:50 AM
TBD

Introduction to Data Science I
STAT 11800=DATA 11800
William Trimble
Sec 2: MWF 9:30 AM–10:20 AM
TBD

Introduction to Data Science II
STAT 11900=DATA 11900
Amanda Kube
Sec 1: TR 9:30 AM–10:50 AM
TBD

Introduction to Data Science II
STAT 11900=DATA 11900
William Trimble
Sec 2: MWF 10:30 AM–11:20 AM
TBD

Elementary Statistics
STAT 20000
Anirban Chatterjee
Sec 1: MWF 9:30 AM–10:20 AM
TBD

Statistical Methods and Applications
STAT 22000
Yibi Huang
Sec 1: MWF 10:30 AM–11:20 AM
TBD

Statistical Methods and Applications
STAT 22000
Daniel Xiang, Fei Liu
Sec 2: MWF 9:30 AM–10:20 AM
TBD

Statistical Methods and Applications
STAT 22000
Daniel Xiang, Fei Liu
Sec 3: MWF 10:30 AM–11:20 AM
TBD

Linear Models and Experimental Design
STAT 22200
Fei Liu
Sec 1: MWF 10:30 AM–11:20 AM
TBD

Applied Regression Analysis
STAT 22400=PBHS 32400
Trong Dat Do
Sec 1: MW 1:30 PM–2:50 PM
TBD

Biostatistical Methods
STAT 22700=PBHS 32700
Lin Chen
Sec 1: TR 12:30 PM–1:50 PM
TBD

Statistical Models and Methods
STAT 23400
Ryan McShane
Sec 1: TR 9:30 AM–10:50 AM
TBD

Statistical Models and Methods
STAT 23400
Ryan McShane
Sec 2: TR 11:00 AM–12:20 PM
TBD

Numerical Linear Algebra: An Introduction to Computation
STAT 24310=CAAM 24310
Yuehaw Khoo
Sec 1: TR 12:30 PM–1:50 PM
Jones 226

Statistical Theory and Methods II
STAT 24500
Mihai Anitescu
Sec 1: MW 1:30 PM–2:50 PM
TBD

Multivariate Statistical Analysis: Applications and Techniques
STAT 24620=FINM 34700, STAT 32950
Jingshu Wang
Sec 1: TR 11:00 AM–12:20 PM
TBD

Multivariate Statistical Analysis: Applications and Techniques
STAT 24620=FINM 34700, STAT 32950
Jingshu Wang
Sec 2: TR 12:30 PM–1:50 PM
TBD

Introduction to Mathematical Probability
STAT 25100
Tianyun Tang
Sec 1: MW 3:00 PM–4:20 PM
TBD

Introduction to Mathematical Probability-A
STAT 25150
Robert Fefferman
Sec 1: MW 11:00 AM–12:20 PM
Jones 226

Time Dependent Data
STAT 26100=STAT 33600
Wei Biao Wu
Sec 1: MW 9:00 AM–10:20 AM
Jones 303

Introduction to Causality with Machine Learning
STAT 27420=DATA 27420
Victor Veitch
Sec 1: TR 3:30 PM–4:50 PM
Jones 226

Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Haifeng Xu
Sec 1: MW 1:30 PM–2:50 PM
TBD

Mathematical Foundations of Machine Learning
STAT 27700=CMSC 25300, CMSC 35300
Michael Maire
Sec 2: MW 3:00 PM–4:20 PM
TBD

Optimization
STAT 28000=CAAM 28000
Kendra Burbank
Sec 1: TR 11:00 AM–12:20 PM
TBD

Undergraduate Research
STAT 29700
Yibi Huang
Sec 1

Bachelor's Paper
STAT 29900
Yibi Huang
Sec 1

Mathematical Statistics 2
STAT 30200
Claire Donnat
Sec 1: WF 10:30 AM–11:50 AM
Jones 303

Mathematical Computational IIa: Convex Optimization
STAT 31015=CAAM 31015, BUSN 36903, CMSC 35470, TTIC 31070
Zhiyuan Li
Sec 1: TR 2:00 PM–3:20 PM
TTIC 530

Applied Approximation Theory
STAT 31050=CAAM 31050
Jeremy Hoskins
Sec 1: TR 12:30 PM–1:50 PM
Jones 303

Introduction to Spectral and Scattering Theory
STAT 31215=CAAM 31215
Guillaume Bal
Sec 1: MW
9:30 AM–10:50 AM
Jones 226

Partial Differential Equations
STAT 31220=CAAM 31220
Eric Baer
Sec 1: TR 2:00 PM–3:20 PM
TBD

Numerical Methods for Quantum Many-Body Physics
STAT 31390=CAAM 31390
Siyao Yang

Sec 1: TR 3:30 PM–4:50 PM
TBD

Applied Partial Differential Equations
STAT 31450=CAAM 31450
Anjali Nair
Sec 1: TR 12:30 PM–1:50 PM
TBD

Monte Carlo Simulation
STAT 31511=CAAM 31511
Daniel Sanz-Alonso
Sec 1: TR 11:00 AM–12:20 PM
TBD

Multivariate Statistical Analysis: Applications and Techniques
STAT 32950=FINM 34700, STAT 24620
Jingshu Wang
Sec 1: TR 11:00 AM–12:20 PM
TBD

Multivariate Statistical Analysis: Applications and Techniques
STAT 32950=FINM 34700, STAT 24620
Jingshu Wang
Sec 2: TR 12:30 PM–1:50 PM
TBD

Time Dependent Data
STAT 33600=STAT 26100
Wei Biao Wu
Sec 1: MW 9:00 AM–10:20 AM
Jones 303

Modern Methods in Applied Statistics
STAT 34800
Aaron Schein
Sec 1: TR 3:30 PM–4:50 PM
TBD

Data Analysis Project
STAT 34900
Mary Sara McPeek
Sec 1: TR 2:00 PM–3:20 PM
Jones 226

Fundamentals of Computational Biology: Algorithms and Applications
STAT 35460=HGEN 48800
Mengjie Chen, Xin He
Sec 1: MW 1:30 PM–2:50 PM
TBD

Statistical Genetics
STAT 35500
Mary Sara McPeek
Sec 1: W 1:30 PM–4:20 PM
Jones 226

Introduction to Probability and Statistics of Quantum Computing
STAT 37421
Mei Wang
Sec 1: TR 9:30 AM–10:50 PM
Jones 226

Machine Learning
STAT 37710=CAAM 37710, CMSC 35400
Risi Kondor
Sec 1: MW 1:30 PM–2:50 PM
Jones 303

Solving PDEs with Machine Learning
STAT 37783=CAAM 37783
Yuehaw Khoo
Sec 1: TR 11:00 AM–12:20 PM
TBD

Representation Learning with Machine Learning
STAT 37784=DATA 37784
Victor Veitch
Sec 1: TR 11:00 AM–12:20 PM
Jones 303

Measure-Theoretic Probability III
STAT 38300
Per Myland, Wei Biao Wu
Sec 1: TR 9:30 AM–10:50 AM
Jones 303

Masters Seminar: Statistics
STAT 39900
Mei Wang
Sec 1

Reading/Research: Statistics
STAT 40100
Sec 1

Seminar in Matrix Analysis
STAT 40960=CAAM 40960
Lek-Heng Lim
Sec 1: F 1:30 PM–4:20 PM
Jones 226

Advanced Topics in Causal Inference
STAT 41542=CAAM 41542
Xinran Li

Sec 1: TR 11:00 AM–12:20 PM
Jones 226

Statistics of Optimal Transport
STAT 41561=CAAM 41561
Promit Ghosal

Sec 1: MW 3:00 PM–4:20 PM
Jones 303

Consulting in Statistics
STAT 44100
Claire Donnat, Mei Wang
Sec 1: W 12:00 PM–1:00 PM
Jones 303