2025-2026 Course Schedule
Important: Courses and times 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 2025 | Winter 2026 | Spring 2026
Fall 2025
Courses and day/time 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 2025-2026 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 2025-2026 are assigned.
| Course Number | Course Name | Instuctor | Day/Time | Enrollment Info |
| 101-7 (UG) | First-Year Seminar | Zabell | MWF 10:00-10:50am | RE |
| 201-0 | Introduction to Programming for Data Science | Behera | MWF 3:00-3:50pm | |
| 202-0-20 (UG) | Introduction to Statistics and Data Science | Sass | MWF 9:00-9:50am | |
| 210-0 (UG) | Introduction to Probability and Statistics | Lewis | MWF 2:00-2:50pm, See CAESAR for discussion times | |
| 228-0/MATH 235-0 (UG) | Series and Multiple Integrals | MWF 11:00-11:50am Discussion T 11-11:50am | RE-DSM+ST | |
| 301-1-20 (UG/G) | Data Science 1 with R section 20 | Sass | MW 12:30-1:50pm | RE-RPSE |
| 301-1-21 (UG/G) | Data Science 1 with R section 21 | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0-20 (UG/G) | Data Visualization | Neykov | MW 3:30-4:50pm | RE-RPSE |
| 302-0-21 (UG/G) | Data Visualization | Ye | MW 3:30-4:50pm | RE-RPSE |
| 303-1-20 (UG/G) | Data Science 1 with Python section 20 | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-1-21 (UG/G) | Data Science 1 with Python section 21 | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-1-22 (UG/G) | Data Science 1 with Python section 22 | 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 |
| 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 Section 20 | Andrews | MWF 12:00-12:50pm | PRS-Stat |
| 320-1-21 (UG/G) | Statistical Theory and Methods 1 Section 21 | Andrews | MWF 2:00-2:50pm | PRS-Stat |
| 344-0 (UG/G) | Statistical Computing | Wang | TTh 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 |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Shi | MW 9:30-10:50am | PRS-DSM, RE-DSM |
| 390-0 (UG) | Data Science Project | Krishna | TTh 12:30-1:50pm | PRS-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 | RE |
| 450-1 (G) | Advanced Statistical Theory 1 |
Neykov | MW 12:30-1:50pm | |
| 455-0 (G) | Advanced Qualitative Data Analysis | Samia | TTh 11:00-12:20pm | |
| 461-0 (G) | Advanced Topics- Machine Learning on Graphs | Ding | MW 5:00-6:20pm |
Winter 2026
Courses and day/time 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-Stat&DSM = Pre-Registration suggested for Stats majors and Data Science majors
PRS-DSM = Pre-Registration suggested for Data Science majors
DSM = section primarily for Data Science majors, other enrollment by department consent if seats available
ISP = course for ISP students
*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 2025-2026 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 2025-2026 are assigned.
| Course Number | Course Name | Instructor | 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 | Lewis | MWF 10:00-10:50am, See CAESAR for discussion times | |
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | MWF 11:00-11:50am Discussion T 11-11:50am | RE-DSM+ST | |
| 301-2-20 (UG/G) | Data Science 2 with R section 20 | Sass | MW 12:30-1:50pm | RE-RPSE |
| 301-2-21 (UG/G) | Data Science 2 with R section 21 | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0 (UG/G) | Data Visualization | Kuyper | MW 3:30-4:50pm | RE-RPSE |
| 303-2-20 (UG/G) | Data Science 2 with Python section 20 | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-2-21 (UG/G) | Data Science 2 with Python section 21 | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-2-22 (UG/G) | Data Science 2 with Python section 22 | Besler | TTh 5:00-6:20pm | RE-RPSE |
| 305-0 (UG) | Information Management for Data Science | Besler | TTh 3:30pm-4:50pm | RE-DSM |
| 320-1-22 (UG/G) | Statistical Theory and Methods 1 Section 22* *Registration priority for Data Science majors |
Andrews | TTh 2:00-3:20pm | PRS-DSM and DSM |
| 320-2-20 (UG/G) | Statistical Theory and Methods 2 Section 20 | W. Jiang | MWF 12:00-12:50pm | PRS-Stat |
| 320-2-21 (UG/G) | Statistical Theory and Methods 2 Section 21 | W. Jiang | MWF 2:00-2:50pm | PRS-Stat |
| 350-0 (UG/G) | Regression Analysis | Kuyper | TTh 11:00-12:20pm | PRS-Stat |
| 353-0 (UG/G) | Advanced Regression | Tipton | MW 3:30-4:50pm | PRS-Stat |
| 354-0 (UG/G) | Applied Time Series Modeling | Andrews | MWF 10:00-10:50am | PRS-Stat |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Krishna | TTh 12:30-1:50pm | PRS-DSM, RE-DSM |
| 359-0 20 (UG/G) | Topics in Statistics - Large Language Models | Shi | MW 2:00-3:20pm | PRS-Stat&DSM |
| 383-0 | Probability & Stats for ISP | Kuyper | TBD | ISP |
| 390-0 (UG) | Data Science Project | Krishna | TTh 9:30-10:50am | PRS-DSM, RE-DSM |
| 420-2 (G) | Introduction to Statistical Theory & Methodology 2 | Wang | TTh 9:30-10:50am | RE |
| 430-2 (G) | Probability for Statistical Inference 2 | Racz | MW 3:30-4:50pm | |
| 450-2 (G) | Advanced Statistical Theory 2 | Neykov | MW 12:30-1:50pm | |
| 519-0 (G) | RCR Training for Stats students | Hedges | na | RE |
Spring 2026
Courses and day/time 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
DSM = section primarily for Data Science majors, other enrollment by department consent if seats available
*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 2025-2026 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 2025-2026 are assigned.
| Course Number | Course Name | Instructor | Day/Time | Enrollment Info |
| 201-0 (UG) | Introduction to Programming for Data Science | Behera | MWF 2:00-2:30pm | |
| 202-0 (UG) | Introduction to Statistics and Data Science | Kuyper | MWF 9:00-9:50am | |
| 210-0 (UG) | Introduction to Probability and Statistics | Sinitsyn | MWF 3:00-3:50pm, See CAESAR for discussion times | |
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | MWF 11:00-11:50am Discussion T 11-11:50am |
RE-DSM+ST | |
| 301-3-20 (UG/G) | Data Science 3 section 20 | Sass | MW 12:30-1:50pm | RE-RPSE |
| 301-3-21 (UG/G) | Data Science 3 section 21 | Ye | MW 5:30-6:50pm | RE-RPSE |
| 302-0 (UG/G) | Data Visualization | Ye | MW 3:30-4:50pm | RE-RPSE |
| 303-3-20 (UG/G) | Data Science 3 with Python section 20 | Shi | MW 12:30-1:50pm | RE-RPSE |
| 303-3-21 (UG/G) | Data Science 3 with Python section 21 | Behera | MW 5:30-6:50pm | RE-RPSE |
| 303-3-22 (UG/G) | Data Science 3 with Python section 22 | Besler | TTh 5:00-6:20pm | RE-RPSE |
| 304-0 (UG) | Data Structures and Algorithms for Data Science | Ding | MW 12:30-1:50pm | PRS-DSM, RE-DSM |
| 320-2-22 (UG/G) | Statistical Theory and Methods 2 Section 22* *Registration priority for Data Science majors |
Sass | MW 9:30-10:50am | PRS-DSM, DSM |
| 320-3-20 (UG/G) | Statistical Theory and Methods | Kuyper | TTh 12:30-1:50pm | PRS-Stat |
| 332-0/IBIS 432 (UG/G) | Statistics for Life Sciences | H. Jiang | TTh 2:00-3:20pm | RE-IP |
| 351-0 (UG/G) | Design and Analysis of Experiments | Krishna | TTh 3:30-4:50pm | PRS-Stat |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Besler | TTh 3:30-4:50pm | PRS-DSM, RE-DSM |
| 390-0-20 (UG) | Data Science Project | Shi | MW 2:00-3:20pm | RE-DSM |
| 390-0-21 (UG) | Data Science Project | Liu | M 5:00-7:50pm | RE-DSM |
| 415-0 (G) | Introduction to Machine Learning | Krishna | TTh 9:30-10:50am | RE |
| 420-3 (G) | Introduction to Statistical Theory & Methodology 3 | W. Jiang | TTh 12:30-1:50pm | RE |
| 435-0/Comp_Sci 416 (G) | Mathematical Foundations of Machine Learning | Liu | T 5:00-7:50pm | RE |
| 440-0 (G) | Applied Probability for Statistics | W. Jiang | TTh 2:00-3:20pm | RE |
| 461-0 (G) | Advanced Topics- Data-Centric AI/Data Mining | Ding | MW 5:00-6:20pm |