2023-2024 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 2023 | Winter 2024 | Spring 2024
Fall 2023
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
*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 2023-2024 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 2023-2024 are assigned.
| Course Number | Course Name | Instructor | Day/Time | Enrollment Info |
| 101-7 (UG) | First-Year Seminar | Zabell | MWF 2:00-2:50pm | RE |
| 201-0 | Introduction to Programming for Data Science | Besler | MWF 3:00pm-3:50pm | |
| 202-0-20 (UG) | Introduction to Statistics and Data Science Section 20 | Sass | MWF 9:00-9:50am | |
| 202-0-21 (UG) | Introduction to Statistics and Data Science Section 21 | Kuyper | MWF 1:00-1:50pm | |
| 210-0 (UG) | Introduction to Probability and Statistics (formerly Introductory Statistics for the Social Sciences) | Sinitsyn | MWF 2:00-2:50pm See CAESAR for discussion times | |
| 228-0/MATH 235-0 (UG) | Series and Multiple Integrals | MWF 11:00-11:50 Discussion T 11-11:50 | 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 | Kuyper | MW 5:30-6:50pm | RE-RPSE |
| 302-0 (UG/G) | Data Visualization | Neykov | MW 3:30-4:50pm | RE-RPSE |
| 303-1-20 (UG/G) | Data Science 1 with Python section 20 | Besler | MW 12:30-1:50pm | RE-RPSE |
| 303-1-21 (UG/G) | Data Science 1 with Python section 21 | Krishna | MW 5:30-6:50pm | RE-RPSE |
| 303-1-22 (UG/G) | Data Science 1 with Python section 22 | Shi | TTh 5:00-6:20pm | RE-RPSE |
| 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 |
| 330-1 (G) | App Stat Res I | Tanner | Th 2:00-4:50pm | RE-IP |
| 344-0 (UG/G) | Statistical Computing | Wang | TTh 12:30-1:50pm | 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 may also register for this section |
Krishna | MW 2:00-3:20pm | PRS-Stat |
| 350-0-21 (G) | Regression Analysis Section 21 - Graduate section, PhD & MS | Ruan | TTh 11:00-12:20pm | RE |
| 357-0 (UG/G) | Introduction to Bayesian Statistics | Tanner | WF 9:30-10:50am | RE-IP |
| 390-0 (UG) | Data Science Project | Shi | TTh 12:30-1:50pm | 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 | |
| 455-0 (G) | Advanced Qualitative Data Analysis | Samia | TTh 11:00-12:20pm | |
| 461-0 (G) | 461-0 Advanced Topics in Statistics - Advanced Statistical Theory 1 | Neykov | MW 12:30-1:50pm |
Winter 2024
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
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 2023-2024 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 2023-2024 are assigned.
| Course Number | Course Name | Instructor | Day/Time | Enrollment Info |
| 201-0 (UG) | Introduction to Programming for Data Science | Krishna | 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 12:00-12:50pm See CAESAR for discussion times | |
| 228-0/MATH 235 (UG) | Series and Multiple Integrals | MWF 11:00-11:50 Discussion T 11-11:50 | 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 | Kuyper | MW 5:30-6:50pm | RE-RPSE |
| 302-0-20 (UG/G) | Data Visualization section 20 | Neykov | MW 3:30-4:50pm | RE-RPSE |
| 302-0-21 (UG/G) | Data Visualization section 21 | Besler | MW 3:30-4:50pm | RE-RPSE |
| 303-2-20 (UG/G) | Data Science 2 with Python section 20 | Besler | MW 12:30-1:50pm | RE-RPSE |
| 303-2-21 (UG/G) | Data Science 2 with Python section 21 | Krishna | MW 5:30-6:50pm | RE-RPSE |
| 303-2-22 (UG/G) | Data Science 2 with Python section 22 | Shi | TTh 5:00-6:20pm | RE-RPSE |
| 304-0 (UG) | Data Structures and Algorithms for Data Science | Ding | TTh 9:30-10:50 | RE-DSM |
| 320-1-22 (UG/G) | Statistical Theory and Methods 1 Section 22* *Registration priority for Data Science majors and Ad Hoc MS students |
Stadie | TTh 2:00-3:20pm | 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 | H. Jiang | TTh 11:00-12:20pm | PRS-Stat |
| 353-0 (UG/G) | Advanced Regression | Tipton | TTh 3:30pm-4:50pm | PRS-Stat |
| 354-0 (UG/G) | Time Series Modeling | Andrews | MWF 10:00-10:50am | PRS-Stat |
| 359-0 (UG/G) | Topics in Statistics - Deep Learning | Stadie | TTh 12:30-1:50pm | PRS-Stat |
| 383-0 (UG) | Probability & Stats for ISP | Severini | MWF 1:00-1:50pm, Discussion T 1-1:50 | ISP |
| 390-0 (UG) | Data Science Project | Shi | TTh 3:30-4:50pm | RE-DSM |
| 420-2 (G) | Introduction to Statistical Theory & Methodology 2 | Wang | TTh 2:00-3:20pm | |
| 430-2 (G) | Probability for Statistical Inference 2 | Racz | TTh 11:00-12:20pm | |
| 439-0 (G) | Meta-Analysis | Tipton | TTh 12:30-1:50pm | |
| 457-0 (G) | Applied Bayesian Inference | Tanner | TTh 9:30-10:50 | |
| 461-0 (G) | Advanced Topics in Statistics - Advanced Statistical Theory 2 | Neykov | MW 12:30-1:50pm | |
| 519-0 (G) | RCR Training for Stats students | Tipton | na | RE |
Spring 2024
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
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 2023-2024 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 2023-2024 are assigned.
| Course Number | Course Name | Instructor | Day/Time | Enrollment Info |
| 201-0 | Introduction to Programming for Data Science | Sass | MWF 11:00-11:50am | |
| 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 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 | |
| 301-3-20 (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 | Kuyper | MW 5:30-6:50pm | RE-RPSE |
| 302-0 (UG/G) | Data Visualization | Kuyper | MW 3:30-4:50pm | RE-RPSE |
| 303-3-20 (UG/G) | Data Science 3 with Python section 20 | Besler | MW 12:30-1:50pm | RE-RPSE |
| 303-3-21 (UG/G) | Data Science 3 with Python section 21 | Krishna | MW 5:30-6:50pm | RE-RPSE |
| 303-3-22 (UG/G) | Data Science 3 with Python section 22 | Shi | TTh 5:00-6:20pm | RE-RPSE |
| 305-0 (UG) | Information Management for Data Science | Besler | MWF 10:00-10:50am | RE-DSM |
| 320-2-22 (UG/G) | Statistical Theory and Methods 2 Section 22* *Registration priority for Data Science majors and Ad Hoc MS students |
Ruan | TTh 11:00-12:20pm | DSM |
| 320-3-20 (UG/G) | Statistical Theory and Methods | Samia | TTh 12:30-1:50pm | PRS-Stat |
| 332-0/IBIS 432 (UG/G) | Statistics for Life Sciences | H Jiang | TTh 11:00-12:20pm | RE-IP |
| 351-0 (UG/G) | Design and Analysis of Experiments | Krishna | TTh 2:00-3:20pm | PRS-Stat |
| 359-0 21 (UG/G) | Topics in Statistics - Deep Learning on Graphs (Pre-Requisites: STAT 362 (UG) or STAT 415 (G) or equivalent) | Ding | MW 2:00-3:20pm | |
| 362-0 (UG) | Advanced Machine Learning for Data Science | Shi | TTh 3:30-4:50pm | RE-DSM |
| 390-0 (UG) | Data Science Project | Liu | M 5:00-7:50pm | RE-DSM |
| 415-0 (G) | Introduction to Machine Learning | Stadie | MW 12:30-1:50pm | |
| 420-3 (G) | Introduction to Statistical Theory & Methodology 3 | W. Jiang | TTh 11:00-12:20pm | |
| 435-0 (G) | Mathematical Foundations of Machine Learning | Liu | T 5:00-7:50pm | |
| 440-0 (G) | Applied Stochastic Processes for Statistics | W. Jiang | TTh 2:00-3:20pm | |
| 461-0 21 (UG/G) | Advanced Topics in Statistics - Nonlinear Time Series | Samia | TTh 9:30-10:50am | |
| 465-0 (G) | Statistical Methods for Bioinformatics and Computational Biology | Wang | TTh 9:30-10:50am |