2026-2027 Course Schedule
Important: Courses, meeting times, and instructors are subject to change at any time. please check back regularly.
(UG) = for undergraduate students
(G) = for graduate students
(UG/G) = for both undergraduate and graduate students
Some STAT courses have restrictions regarding enrollment. Restricted enrollment is noted in the Enrollment Info column with codes that start with “RE”.
If you have questions please email us at stats@northwestern.edu
Jump to: Fall 2026 | Winter 2027 | Spring 2027
Fall 2026
Courses, day/time, instructors are subject to change at any time, please check back regularly.
(UG) = for undergraduate students
(G) = for graduate students
(UG/G) = for both undergraduate and graduate students
Enrollment Info code descriptions:
RE = Restricted Enrollment, contact the department with questions
RE-DSM = Restricted Enrollment-restricted to declared Data Science majors
RE-DSM+ST = Restricted Enrollment-restricted to declared Data Science majors, Statistics majors/minors
RE-RPSE* = Restricted Enrollment-Restricted to pre-arranged scheduled enrollment group, course is FULL
RE-IP = Restricted Enrollment-Instructor permission required, contact instructor
PRS-Stat = Pre-Registration suggested for Stats majors/minors
PRS-DSM = Pre-Registration suggested for Data Science majors
*Registration for STAT 301-1,2,3 and STAT 303-1,2,3 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics students. These students must take the courses in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
*Registration for STAT 302 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics, PhD in Statistics, and MS in Statistics students. These students must take the course in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
| Course Number | Course Name | Instuctor | Day/Time | Enrollment Info |
| 101-7 (UG) | First-Year Seminar | Zabell | MWF 2:00-2:50pm | RE |
| 201-0 (UG) | Introduction to Programming for Data Science | Behera | MWF 3:00-3:50pm | |
| 202-0 (UG) | Introduction to Statistics and Data Science | Kuyper | MWF 9:00-9:50am | |
| 210-0 (UG) | Introduction to Probability and Statistics | Lewis | MWF 1:00-1:50pm See CAESAR for discussion times |
|
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | RE-DSM+ST | ||
|
301-1-20 |
Data Science 1 with R | Kuyper | MW 12:30-1:50pm | RE-RPSE |
| 301-1-21 (UG/G) | Data Science 1 with R | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0 | Data Visualization | Neykov | MW 9:30-10:50am | RE-RPSE |
| 303-1-20 (UG/G) | Data Science 1 with Python | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-1-21 (UG/G) | Data Science 1 with Python | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-1-22 (UG/G) | Data Science 1 with Python | Besler | TTh 5:00-6:20pm | RE-RPSE |
| 304-0 (UG/G) |
Data Structures and Algorithms for Data Science | Shi | MW 2:00-3:20pm | PRS-DSM, RE-DSM |
| 305-0 (UG/G) |
Information Management for Data Science | Besler | TTh 3:30-4:50pm | PRS-DSM, RE-DSM |
| 320-1-20 (UG/G) | Statistical Theory and Methods 1 | Andrews | MWF 12:00-12:50pm | PRS-Stat |
| 320-1-21 (UG/G) | Statistical Theory and Methods 1 | Ye | MWF 2:00-2:50pm | PRS-Stat |
| 344-0 (UG/G) | Statistical Computing | Wang | MW 9:30-10:50am | PRS-Stat |
| 348-0 (UG/G) | Applied Multivariate Analysis | Severini | TTh 9:30-10:50am | PRS-Stat |
| 350-0-20 (UG/G) | Regression Analysis Section 20 - Undergraduate section* *Ad Hoc MS also register for this section |
H. Jiang | TTh 2:00-3:20pm | PRS-Stat |
| 350-0-21 (G) | Regression Analysis Section 21 - Graduate section, PhD & MS (Enrollment for graduate students ONLY) | Ruan | TTh 12:30-1:50pm | RE |
| 359-0 (UG/G) | Topics in Statistics - Deep Learning | Krishna | TTh 5:00-6:20pm | RE-IP, Pre-Reg avail for DSM& Stat with IP |
| 362-0 (UG/G) |
Advanced Machine Learning for Data Science | Besler | TTh 12:30-1:50pm | PRS-DSM, RE-DSM |
| 390-0 (UG/G) | Data Science Project | Krishna | TTh 11:00-12:20pm | RE-IPPRS-DSM, RE-DSM |
| 420-1 (G) | Introduction to Statistical Theory and Methodology 1 | Samia | TTh 2:00-3:20pm | RE |
| 430-1 (G) | Probability for Statistical Inference 1 | Ruan | TTh 2:00-3:20pm | |
| 456-0 (G) | Generalized Linear Models | Samia | TTh 11:00-12:20pm |
Winter 2027
Courses, day/time, instructors are subject to change at any time, please check back regularly.
(UG) = for undergraduate students
(G) = for graduate students
(UG/G) = for both undergraduate and graduate students
Enrollment Info code descriptions:
RE = Restricted Enrollment, contact the department with questions
RE-DSM = Restricted Enrollment-restricted to declared Data Science majors
RE-DSM+ST = Restricted Enrollment-restricted to declared Data Science majors, Statistics majors/minors
RE-RPSE* = Restricted Enrollment-Restricted to pre-arranged scheduled enrollment group, course is FULL
RE-IP = Restricted Enrollment-Instructor permission required, contact instructor
PRS-Stat = Pre-Registration suggested for Stats majors/minors
PRS-DSM = Pre-Registration suggested for Data Science majors
*Registration for STAT 301-1,2,3 and STAT 303-1,2,3 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics students. These students must take the courses in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
*Registration for STAT 302 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics, PhD in Statistics, and MS in Statistics students. These students must take the course in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
| Course Number | Course Name | Instuctor | Day/Time | Enrollment Info |
| 201-0 (UG) | Introduction to Programming for Data Science | Behera | MWF 3:00-3:50pm | |
| 202-0 (UG) | Introduction to Statistics and Data Science | Sass | MWF 9:00-9:50am | |
| 210-0 (UG) | Introduction to Probability and Statistics | Limbrock | MWF 1:00-1:50pm See CAESAR for discussion times |
|
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | RE-DSM+ST | ||
| 301-2-20 (UG/G) |
Data Science 2 with R | Sass | MW 12:30-1:50pm | RE-RPSE |
| 301-2-21 (UG/G) |
Data Science 2 with R | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0-20 (UG/G) |
Data Visualization (R) | Kuyper | MW 3:30-4:50pm | RE-RPSE |
| 302-0-21 (UG/G) |
Data Visualization (Python) | Besler | TTh 3:30-4:50pm | RE-RPSE |
| 303-2-20 (UG/G) |
Data Science 2 with Python | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-2-21 (UG/G) |
Data Science 2 with Python | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-2-22 (UG/G) |
Data Science 2 with Python | Besler | TTh 5:00-6:20pm | RE-RPSE |
| 305-0 (UG/G) |
Information Management for Data Science | Besler | TTh 12:30-1:50pm | PRS-DSM, RE-DSM |
| 320-1-22 (UG/G) |
Statistical Theory and Methods 1 Section 22* *Registration priority for Data Science majors |
Kuyper | MW 9:30-10:50am | PRS-DSM and DSM |
| 320-2-20 (UG/G) |
Statistical Theory and Methods 2 | W. Jiang | MWF 12:00-12:50pm | PRS-Stat |
| 320-2-21 (UG/G) |
Statistical Theory and Methods 2 | W. Jiang | MWF 2:00-2:50pm | PRS-Stat |
| 328-0 (UG/G) |
Causal Inference | Tipton | MW 2:00-3:20pm | PRS-Stat |
| 350-0 (UG/G) |
Regression Analysis | Kuyper | TTh 11:00-12:20pm | PRS-Stat |
| 353-0 (UG/G) |
Advanced Regression | Tipton | MW 9:30-10:50am | PRS-Stat |
| 359-0 (UG/G) |
Topics in Statistics - Large Language Models | Shi | MW 3:30-4:50pm | PRS-DSM, PRS-Stat |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Krishna | TTh 2:00-3:20pm | PRS-DSM and DSM |
| 365-0 (UG/G) |
Introduction to the Analysis of Financial Data | Severini | MW 12:30-1:50pm | PRS-Stat |
| 390-0 (UG) | Data Science Project | Krishna | TTh 5:00-6:20pm | PRS-DSM and DSM |
| 420-2 | Introduction to Statistical Theory & Methodology 2 | Wang | TTh 2:00-3:20pm | RE |
| 430-2 | Probability for Statistical Inference 2 | Racz | TTh 9:30-10:50am | |
| 465-0 | Statistical Methods for Bioinformatics and Computational Biology | Wang | TTh 9:30-10:50am |
Spring 2027
Courses, day/time, instructors are subject to change at any time, please check back regularly.
(UG) = for undergraduate students
(G) = for graduate students
(UG/G) = for both undergraduate and graduate students
Enrollment Info code descriptions:
RE = Restricted Enrollment, contact the department with questions
RE-DSM = Restricted Enrollment-restricted to declared Data Science majors
RE-DSM+ST = Restricted Enrollment-restricted to declared Data Science majors, Statistics majors/minors
RE-RPSE* = Restricted Enrollment-Restricted to pre-arranged scheduled enrollment group, course is FULL
RE-IP = Restricted Enrollment-Instructor permission required, contact instructor
PRS-Stat = Pre-Registration suggested for Stats majors/minors
PRS-DSM = Pre-Registration suggested for Data Science majors
*Registration for STAT 301-1,2,3 and STAT 303-1,2,3 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics students. These students must take the courses in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
*Registration for STAT 302 is restricted to Data Science minors, Data Science majors, Statistics majors, Ad Hoc Masters Applied Statistics, PhD in Statistics, and MS in Statistics students. These students must take the course in the quarter and year on their course plan set with the department for enrollment in the course. All seats in these courses for 2026-2027 are assigned.
| Course Number | Course Name | Instuctor | Day/Time | Enrollment Info |
| 201-0 (UG) | Introduction to Programming for Data Science | Behera | MWF 3:00-3:50pm | |
| 202-0 (UG) | Introduction to Statistics and Data Science | Sass | MWF 9:00-9:50am | |
| 210-0 (UG) | Introduction to Probability and Statistics | Sinitsyn | MWF 1:00-1:50pm See CAESAR for discussion times |
|
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | RE-DSM+ST | ||
| 301-3-20 (UG/G) |
Data Science 3 with R | Sass | MW 12:30-1:50pm | RE-RPSE |
| 301-3-21 (UG/G) |
Data Science 3 with R | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0 | Data Visualization | Ye | MW 3:30-4:50pm | RE-RPSE |
| 303-3-20 (UG/G) |
Data Science 3 with Python | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-3-21 (UG/G) |
Data Science 3 with Python | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-3-22 (UG/G) |
Data Science 3 with Python | Besler | TTh 5:00-6:20pm | RE-RPSE |
| 304-0 (UG/G) | Data Structures and Algorithms for Data Science | Ding | MW 2:00-3:20pm | PRS-DSM, RE-DSM |
| 320-2-22 (UG/G) |
Statistical Theory and Methods 2 Section 22* *Registration priority for Data Science majors |
Ruan | TTh 11:00-12:20pm | PRS-DSM and DSM |
| 320-2-23 (UG/G) |
Statistical Theory and Methods 2 Section 23* *Registration priority for Data Science majors |
Samia | TTh 9:30-10:50am | PRS-DSM and DSM |
| 320-3 (UG/G) |
Statistical Theory and Methods 3 | Samia | TTh 12:30-1:50pm | PRS-Stat |
| 332-0/IBIS 432 (UG) | Statistics for Life Sciences | H. Jiang | TTh 2:00-3:20pm | RE-IP |
| 352-0 (UG/G) |
Nonparametric Statistical Methods | Severini | TTh 9:30-10:50am | PRS-Stat |
| 357-0 (UG/G) |
Introduction to Bayesian Statistics | Kuyper | MW 9:30-10:50am | PRS-Stat |
| 359-0 (UG/G) |
Topics in Statistics - Topic: Learning in Networks | Racz | MW 12:30-1:50pm | |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Shi | MW 9:30-10:50am | PRS-DSM, RE-DSM |
| 390-0-20 (UG) | Data Science Project | Liu | M 5:00-7:50pm | PRS-DSM, RE-DSM |
| 390-0-21 (UG) | Data Science Project | Krishna | TTh 5:00-6:20pm | PRS-DSM, RE-DSM |
| 398-0 (UG) | Undergraduate Seminar - Topic: Statistical Analysis in Sports | Severini | MW 2:00-3:20pm | PRS-Stat |
| 415-0 (G) | Introduction to Machine Learning | Krishna | TTh 2:00-3:20pm | RE |
| 420-3 (G) | Introduction to Statistical Theory & Methodology 3 | W. Jiang | TTh 11:00-12:20pm | RE |
| 435-0/Comp_Sci 416 (G) | Mathematical Foundations of Machine Learning | Liu | T 5:00-7:50pm | RE |
| 457-0 (G) | Applied Bayesian Inference | W. Jiang | TTh 2:00-3:20pm | |
| 461-0-20 (G) | Advanced Topics- Agentic AI | Ding | M 4:00-6:50pm | |
| 461-0-20 (G) | Advanced Topics- Introduction to Stochastic Optimization | Ruan | TTh 3:30-4:50pm |