
Statistics Program
The Five College Statistics Program was created in 2011 to enable statistics faculty members at the five campuses to coordinate and integrate resources to better serve our statistics and data science students.
“The best thing about being a statistician is that you get to play in everyone's backyard.”
- John Tukey, Statistician
"Data is the sword of the 21st century, those who wield it well, the Samurai."
- Jonathan Rosenberg (former Google Inc. Senior Vice President)
The time to become statistically literate is now. The Five College Statistics Program was created in 2011 to enable statistics faculty members at the five campuses to coordinate and integrate resources to better serve our statistics and data science students.
Whether you want to take an introductory statistics or data science class or pursue elective course offerings, the Five Colleges has courses and programs of study just waiting for you. Statistics and data science are present through multiple programs in the Valley:
- Undergraduate majors/minors at Amherst, Mt Holyoke, Smith, and UMass Mathematics and Statistics
- Graduate programs in Statistics and Biostatistics at UMass
- A data analytics and society nexus at Mt Holyoke
All campuses have a rotation of statistics electives that may be of interest to students.
On this page, you can find resources, including links to statistics courses at each school, statistics faculty on each campus, news and events, announcements and more.
The Five College Statistics Program is committed to fostering closer ties between the faculty members teaching statistics and facilitating additional curricular cooperation to continue the strong statistical presence in the Valley. The Five College Statisticians meet on a regular basis to coordinate activities and curricular offerings.
Faculty
News
Nicholas J. Horton, the Beitzel Professor in Technology and Society (Statistics and Data Science) at Amherst College, has been selected as the recipient of the 2023 Mosteller Statistician of the Year award by the Boston Chapter of the American Statistical Association.
The award honors individuals from academia, industry, and government who have made exceptional contributions to the field of statistics and who have shown outstanding service to the statistical community, including the Boston Chapter.Winners of the Five College Statistics award for 2023 are:
- Amherst: Elizabeth Williamson and Alex Brandfonbrener
- Hampshire: Sabina Iftikhar
- Mt Holyoke: Emily Rosaci
- Smith: Clara Li and Aushanae Haller
- UMass/Biostatistics: Benjamin Goldberg
- UMass/Statistics: Adira Cohen
Congratulations to all of these students for their excellent work!
Professor Brittney Bailey (Amherst College) was named the recipient of the 2023 Mu Sigma Rho Early Career Undergraduate Impact Award for her dedicated and innovative approaches to support and empower students through her teaching, her leadership of StatFest and The STEM Incubator, and her efforts on behalf of the profession. More information about the award can be found at: https://www.stat.purdue.
Professor Nick Horton, Beitzel Professor of Technology and Society (Statistics and Data Science), Department of Mathematics and Statistics, Amherst College, has been elected as vice president of the American Statistical Association (ASA). Professor Horton's term begins in January 2021; he will serve with ASA president-elect Dionne Price, who will become the first African-American president of the ASA.
Professor Miles Ott, Assistant Professor of Statistical and Data Sciences is the 2021 LGBTQ+ Educator of the Year. This award is given an educator for significant impact on STEM students "through teaching, advocacy, and role modeling."
Congratulations to Professor Ott on this honor!
The Five Colleges had a strong showing in the Fall 2020 Undergraduate Statistics Project Competition, with winners in the Electronic Undergraduate Statistics Research Conference (eUSR), the Undergraduate Statistics Class Project (USCLAP), and the Undergraduate Statistics Research Project (USRESP).
Congratulations to our Fall 2020 competition winners:
- Amelia Tran (Mount Holyoke) - eUSR Best Video Presentation
- Xian Ye, Hannah Snell, Dianne Caravela, and Natalia Iannucci (Smith) - USCLAP First Standing in Intermediate Statistics
- Juliet Ramey-Lariviere, Ivy Chen, and Kathleen Hablutzel (Smith) - USCLAP Honorable Mention in Intermediate Statistics
- Tyler Marshall (Amherst) - USRESP Third Standing
Nicholas Reich, Associate Professor of Biostatistics, recently delivered a series of keynote talks on the topic of COVID-19 forecasting.
Thank you, Professor Reich, for your continuing contributions to the field of Biostatistics!
Events
Recurring Events
- Western Mass Data Science, Stats, and R
- UMass Statistics and Probability Seminar Series
- Smith College Applied Statistics Lecture series
- Boston Chapter of the American Statistical Association
- Amherst College Statistics and Data Science Colloquium series
- Amherst College Data Science Initiative
- UMass, Amherst Epi-Biostat Seminars
Courses
Note that if you don't see classes from all campuses currently listed, they will appear as the campuses release their course schedules for the semester. The five campuses release their schedules on different dates. Visit this page for specific dates.
Spring 2025 Statistics Courses
Subject |
Course # |
Sect # |
Course Title |
Instructor(s) |
Institution |
Meeting Times |
---|---|---|---|---|---|---|
Subject STAT |
Course # 135 |
Sect # 01 |
Course Title Intro to Stats Modeling |
Instructor(s) Kevin Donges |
Institution Amherst College |
Meeting Times M/W/F | 1:00 PM - 1:50 PM |
Subject STAT |
Course # 135 |
Sect # 02 |
Course Title Intro to Stats Modeling |
Instructor(s) Kevin Donges |
Institution Amherst College |
Meeting Times M/W/F | 2:00 PM - 2:50 PM |
Subject STAT |
Course # 135 |
Sect # 03 |
Course Title Intro to Stats Modeling |
Instructor(s) Shu-Min Liao |
Institution Amherst College |
Meeting Times TU/TH | 8:30 AM - 9:50 AM |
Subject STAT |
Course # 135 |
Sect # 04 |
Course Title Intro to Stats Modeling |
Instructor(s) Brittney Bailey |
Institution Amherst College |
Meeting Times TU/TH | 2:30 PM - 3:50 PM |
Subject STAT |
Course # 136 |
Sect # 01 |
Course Title Stats and Mental Health |
Instructor(s) Shu-Min Liao |
Institution Amherst College |
Meeting Times TU/TH | 11:30 AM - 12:50 PM |
Subject STAT |
Course # 201 |
Sect # 01 |
Course Title Writing in STEM |
Instructor(s) Katharine Correia |
Institution Amherst College |
Meeting Times TU/TH | 1:00 PM - 2:20 PM |
Subject STAT |
Course # 230 |
Sect # 01 |
Course Title Intermediate Stats |
Instructor(s) Pamela Matheson |
Institution Amherst College |
Meeting Times M/W/F | 10:00 AM - 10:50 AM |
Subject STAT |
Course # 230 |
Sect # 02 |
Course Title Intermediate Stats |
Instructor(s) Pamela Matheson |
Institution Amherst College |
Meeting Times M/W/F | 11:00 AM - 11:50 AM |
Subject STAT |
Course # 231 |
Sect # 02 |
Course Title Data Science |
Instructor(s) Katharine Correia |
Institution Amherst College |
Meeting Times TU/TH | 10:00 AM - 11:20 AM |
Subject STAT |
Course # 360 |
Sect # 01 |
Course Title Probability |
Instructor(s) Kevin Donges |
Institution Amherst College |
Meeting Times M/W/F | 10:00 AM - 10:50 AM |
Subject STAT |
Course # 370 |
Sect # 01 |
Course Title Theoretical Statistics |
Instructor(s) Amy Wagaman |
Institution Amherst College |
Meeting Times M/W/F | 11:00 AM - 11:50 AM |
Subject STAT |
Course # 456 |
Sect # 01 |
Course Title Generalized Lin Models |
Instructor(s) Brittney Bailey |
Institution Amherst College |
Meeting Times TU/TH | 1:00 PM - 2:20 PM |
Subject NS |
Course # 0104 |
Sect # 1 |
Course Title Introduction to Data Science |
Instructor(s) Kenneth Mulder |
Institution Hampshire College |
Meeting Times 10:30AM-11:50AM TU;10:30AM-11:50AM TH |
Subject NS |
Course # 0259 |
Sect # 1 |
Course Title Intro to Beyesian Modeling |
Instructor(s) Kenneth Mulder |
Institution Hampshire College |
Meeting Times 01:00PM-02:20PM M;01:00PM-02:20PM W |
Subject DATA |
Course # 113 |
Sect # 01 |
Course Title Intro to Data Science |
Instructor(s) Arie Shaus |
Institution Mount Holyoke College |
Meeting Times MWF 11:30AM-12:45PM |
Subject DATA |
Course # 390 |
Sect # 01 |
Course Title Data Science Capstone |
Instructor(s) Arie Shaus |
Institution Mount Holyoke College |
Meeting Times MW 10:00AM-11:15AM |
Subject STAT |
Course # 140 |
Sect # 01 |
Course Title Intro Ideas/Applic Statistics |
Instructor(s) Ishfaaq Mohammed Imtiyas |
Institution Mount Holyoke College |
Meeting Times MWF 08:30AM-09:45AM |
Subject STAT |
Course # 140 |
Sect # 02 |
Course Title Intro Ideas/Applic Statistics |
Instructor(s) Ishfaaq Mohammed Imtiyas |
Institution Mount Holyoke College |
Meeting Times MWF 10:00AM-11:15AM |
Subject STAT |
Course # 140 |
Sect # 03 |
Course Title Intro Ideas/Applic Statistics |
Instructor(s) Ben Pittman-Polletta |
Institution Mount Holyoke College |
Meeting Times MWF 01:45PM-03:00PM |
Subject STAT |
Course # 242 |
Sect # 01 |
Course Title Intermediate Statistics |
Instructor(s) Isabelle Beaudry |
Institution Mount Holyoke College |
Meeting Times MWF 10:00AM-11:15AM |
Subject STAT |
Course # 242 |
Sect # 02 |
Course Title Intermediate Statistics |
Instructor(s) Laura Lyman |
Institution Mount Holyoke College |
Meeting Times MWF 03:15PM-04:30PM |
Subject STAT |
Course # 244SC |
Sect # 01 |
Course Title Computational Statistics |
Instructor(s) Laura Lyman |
Institution Mount Holyoke College |
Meeting Times MW 01:45PM-03:00PM |
Subject STAT |
Course # 340 |
Sect # 01 |
Course Title Applied Regression Methods |
Instructor(s) Ishfaaq Mohammed Imtiyas |
Institution Mount Holyoke College |
Meeting Times MWF 03:15PM-04:30PM |
Subject STAT |
Course # 343 |
Sect # 01 |
Course Title Mathematical Statistics |
Instructor(s) Isabelle Beaudry |
Institution Mount Holyoke College |
Meeting Times MWF 08:30AM-09:45AM |
Subject STAT |
Course # 344ND |
Sect # 01 |
Course Title Analysis of Neural Data |
Instructor(s) Ben Pittman-Polletta |
Institution Mount Holyoke College |
Meeting Times MW 10:00AM-11:15AM |
Subject BIO |
Course # 372 |
Sect # 01 |
Course Title Colq:Quantitativ Ecology |
Instructor(s) Aly Putnam |
Institution Smith College |
Meeting Times M W 10:50 AM - 12:05 PM |
Subject SDS |
Course # 100 |
Sect # 01 |
Course Title Lab: Computing w/Data |
Instructor(s) yujie wang |
Institution Smith College |
Meeting Times TU 8:00 AM - 9:15 AM |
Subject SDS |
Course # 100 |
Sect # 02 |
Course Title Lab: Computing w/Data |
Instructor(s) yujie wang |
Institution Smith College |
Meeting Times TU 9:25 AM - 10:40 AM |
Subject SDS |
Course # 100 |
Sect # 03 |
Course Title Lab: Computing w/Data |
Instructor(s) yujie wang |
Institution Smith College |
Meeting Times TU 10:50 AM - 12:05 PM |
Subject SDS |
Course # 109 |
Sect # 01 |
Course Title Communicating With Data |
Instructor(s) Ab Mosca |
Institution Smith College |
Meeting Times TU TH 1:20 PM - 2:35 PM |
Subject SDS |
Course # 192 |
Sect # 01 |
Course Title Intro to Data Sciences |
Instructor(s) Nicholas Schwab |
Institution Smith College |
Meeting Times M W F 9:25 AM - 10:40 AM |
Subject SDS |
Course # 192 |
Sect # 02 |
Course Title Intro to Data Sciences |
Instructor(s) Nicholas Schwab |
Institution Smith College |
Meeting Times M W F 10:50 AM - 12:05 PM |
Subject SDS |
Course # 201 |
Sect # 01 |
Course Title Statistical Methods:Undergrad |
Instructor(s) Kementari Whitcher |
Institution Smith College |
Meeting Times M W F 9:25 AM - 10:40 AM |
Subject SDS |
Course # 201 |
Sect # 02 |
Course Title Statistical Methods:Undergrad |
Instructor(s) William Hopper |
Institution Smith College |
Meeting Times W F 1:20 PM - 2:35 PM; M 1:40 PM - 2:55 PM |
Subject SDS |
Course # 220 |
Sect # 01 |
Course Title Intro/Probability/Statistics |
Instructor(s) Kaitlyn Cook |
Institution Smith College |
Meeting Times M W F 10:50 AM - 12:05 PM |
Subject SDS |
Course # 220 |
Sect # 02 |
Course Title Intro/Probability/Statistics |
Instructor(s) Rebecca Kurtz-Garcia |
Institution Smith College |
Meeting Times W F 1:20 PM - 2:35 PM; M 1:40 PM - 2:55 PM |
Subject SDS |
Course # 236 |
Sect # 01 |
Course Title Data Journalism |
Instructor(s) Ben Baumer,Naila F. Moreira |
Institution Smith College |
Meeting Times TU TH 1:20 PM - 2:35 PM |
Subject SDS |
Course # 237 |
Sect # 01 |
Course Title Data Ethnography |
Instructor(s) Lindsay Poirier |
Institution Smith College |
Meeting Times M W 9:25 AM - 10:40 AM |
Subject SDS |
Course # 238 |
Sect # 01 |
Course Title Community-Based Data Science |
Instructor(s) Lindsay Poirier |
Institution Smith College |
Meeting Times M W 10:50 AM - 12:05 PM |
Subject SDS |
Course # 270 |
Sect # 01 |
Course Title Programming Data Science: R |
Instructor(s) William Hopper |
Institution Smith College |
Meeting Times M W 8:00 AM - 9:15 AM |
Subject SDS |
Course # 290 |
Sect # 01 |
Course Title Research Design & Analysis |
Instructor(s) Scott J. LaCombe |
Institution Smith College |
Meeting Times TU TH 2:45 PM - 4:00 PM |
Subject SDS |
Course # 291 |
Sect # 01 |
Course Title Multiple Regression |
Instructor(s) Kaitlyn Cook |
Institution Smith College |
Meeting Times M W 9:25 AM - 10:40 AM |
Subject SDS |
Course # 291 |
Sect # 02 |
Course Title Multiple Regression |
Instructor(s) yujie wang |
Institution Smith College |
Meeting Times W 1:20 PM - 2:35 PM; M 1:40 PM - 2:55 PM |
Subject SDS |
Course # 293 |
Sect # 01 |
Course Title Machine Learning |
Instructor(s) R. Jordan Crouser |
Institution Smith College |
Meeting Times TU TH 1:20 PM - 2:35 PM |
Subject SDS |
Course # 300fs |
Sect # 01 |
Course Title Sem: T-Food Systems |
Instructor(s) Kementari Whitcher |
Institution Smith College |
Meeting Times W 2:45 PM - 4:00 PM; M 3:05 PM - 4:20 PM |
Subject SDS |
Course # 320 |
Sect # 01 |
Course Title Mathematical Statistics |
Instructor(s) Rebecca Kurtz-Garcia |
Institution Smith College |
Meeting Times W 2:45 PM - 4:00 PM; M 3:05 PM - 4:20 PM |
Subject SDS |
Course # 364 |
Sect # 01 |
Course Title Research Sem: Intrgrp Relatnsh |
Instructor(s) Randi L Garcia |
Institution Smith College |
Meeting Times TU TH 10:50 AM - 12:05 PM |
Subject SDS |
Course # 390cd |
Sect # 01 |
Course Title T-Categorical Data |
Instructor(s) Kementari Whitcher |
Institution Smith College |
Meeting Times M W 10:50 AM - 12:05 PM |
Subject SDS |
Course # 410 |
Sect # 01 |
Course Title Capstone in SDS |
Instructor(s) Ben Baumer |
Institution Smith College |
Meeting Times W 1:20 PM - 2:35 PM; M 1:40 PM - 2:55 PM |
Subject BIOSTATS |
Course # 683 |
Sect # 01 |
Course Title Intro to Causal Inference |
Instructor(s) Aaron Sarvet |
Institution UMass Amherst |
Meeting Times M W 2:30PM 3:45PM |
Subject BIOSTATS |
Course # 748 |
Sect # 01 |
Course Title Applied Survival Analysis |
Instructor(s) Raji Balasubramanian |
Institution UMass Amherst |
Meeting Times TU TH 11:30AM 12:45PM |
Subject PUBHLTH |
Course # 223 |
Sect # 01 |
Course Title Intro/Biostats for PUBHLTH |
Instructor(s) Sofija Zagarins |
Institution UMass Amherst |
Meeting Times M W F 11:15AM 12:05PM |
Subject PUBHLTH |
Course # 494CI |
Sect # 01 |
Course Title Public Health Sciences Capston |
Instructor(s) Karl Cyr |
Institution UMass Amherst |
Meeting Times TU TH 4:00PM 5:15PM |
Subject PUBHLTH |
Course # 494CI |
Sect # 02 |
Course Title Public Health Sciences Capston |
Instructor(s) Song Liang |
Institution UMass Amherst |
Meeting Times TU TH 1:00PM 2:15PM |
Subject PUBHLTH |
Course # 494CI |
Sect # 03 |
Course Title Public Health Sciences Capston |
Instructor(s) David Chin |
Institution UMass Amherst |
Meeting Times TU TH 10:00AM 11:15AM |
Subject PUBHLTH |
Course # 494CI |
Sect # 04 |
Course Title Public Health Sciences Capston |
Instructor(s) KRYSTAL KITTLE |
Institution UMass Amherst |
Meeting Times M W 2:30PM 3:45PM |
Subject SPHHS |
Course # 616 |
Sect # 01 |
Course Title Epidemiology & Biostatistics B |
Instructor(s) Elizabeth Cook,Sofija Zagarins |
Institution UMass Amherst |
Meeting Times M W 2:30PM 3:45PM |
Subject STATISTC |
Course # 310 |
Sect # 01 |
Course Title Fundamental Concepts/Stats |
Instructor(s) Sepideh Mosaferi |
Institution UMass Amherst |
Meeting Times TU TH 10:00AM 11:15AM |
Subject STATISTC |
Course # 315 |
Sect # 01 |
Course Title Statistics I |
Instructor(s) Michael Sullivan |
Institution UMass Amherst |
Meeting Times TU TH 10:00AM 11:15AM |
Subject STATISTC |
Course # 315 |
Sect # 02 |
Course Title Statistics I |
Instructor(s) Byeong-Ho Bahn |
Institution UMass Amherst |
Meeting Times M W F 12:20PM 1:10PM |
Subject STATISTC |
Course # 315 |
Sect # 03 |
Course Title Statistics I |
Instructor(s) Qian-Yong Chen |
Institution UMass Amherst |
Meeting Times TU TH 11:30AM 12:45PM |
Subject STATISTC |
Course # 315 |
Sect # 05 |
Course Title Statistics I |
Instructor(s) Michael Sullivan |
Institution UMass Amherst |
Meeting Times TU TH 8:30AM 9:45AM |
Subject STATISTC |
Course # 315 |
Sect # 06 |
Course Title Statistics I |
Instructor(s) Kien Nguyen |
Institution UMass Amherst |
Meeting Times TU TH 1:00PM 2:15PM |
Subject STATISTC |
Course # 315 |
Sect # 07 |
Course Title Statistics I |
Instructor(s) Luc Rey-Bellet |
Institution UMass Amherst |
Meeting Times TU TH 2:30PM 3:45PM |
Subject STATISTC |
Course # 516 |
Sect # 01 |
Course Title Statistics II |
Instructor(s) Sepideh Mosaferi |
Institution UMass Amherst |
Meeting Times TU TH 11:30AM 12:45PM |
Subject STATISTC |
Course # 525 |
Sect # 01 |
Course Title Regression&Analysis/Variance |
Instructor(s) Jonathan Larson |
Institution UMass Amherst |
Meeting Times M W F 10:10AM 11:00AM |
Subject STATISTC |
Course # 525 |
Sect # 02 |
Course Title Regression&Analysis/Variance |
Instructor(s) Jonathan Larson |
Institution UMass Amherst |
Meeting Times M W F 12:20PM 1:10PM |
Subject STATISTC |
Course # 525 |
Sect # 03 |
Course Title Regression&Analysis/Variance |
Instructor(s) Daeyoung Kim |
Institution UMass Amherst |
Meeting Times M W F 11:15AM 12:05PM |
Subject STATISTC |
Course # 535 |
Sect # 01 |
Course Title Statistical Computing |
Instructor(s) Maryclare Griffin |
Institution UMass Amherst |
Meeting Times M W 2:30PM 3:45PM |
Subject STATISTC |
Course # 598C |
Sect # 01 |
Course Title StatisticalConsultingPracticum |
Instructor(s) Krista Gile,Anna Liu |
Institution UMass Amherst |
Meeting Times TU 1:00PM 2:15PM |
Resources
The Lorna M. Peterson Award supports scholarly and creative work by undergraduate students taking part in Five College programs. The prize is awarded annually based on nominations from Five College programs.
Campus Curricula
Contact Us
Five College Statistics Program Representatives:
Amy Wagaman, Professor of Mathematics and Statistics, Amherst College (Chair)
Jeffrey Barton, Professor of Mathematics, Hampshire College (Secretary/Treasurer)
Laurie Tupper, Associate Professor of Statistics, Mount Holyoke College
Randi Garcia, Assistant Professor of Psychology and of Statistical & Data Sciences, Smith College
Carlos Soto, Assistant Professor of Mathematics and Statistics, UMass
Five College Staff Liaison:
Ray Rennard, Director of Academic Programs