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.
“Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge: the serenity to accept the things we cannot predict, the courage to predict the things we can, and the wisdom to know the difference.” - Nate Silver (Five Thirty Eight), The Signal and the Noise: Why So Many Predictions Fail - But Some Don't
"Statisticians now collaborate with the scientists generating the data to develop innovative new theory and methods to tackle problems never envisioned." - Marie Davidian (North Carolina State University)
"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. There are undergraduate majors in statistics and data science at Smith, Mount Holyoke, and Amherst Colleges, undergraduate and graduate programs at the University of Massachusetts, and growth in faculty staffing and enrollments at all of the institutions that make up the Five Colleges.
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.
On This Page
Faculty
News
Winners of the Five College Statistics award for 2022 are:
- Amherst College: Shu Amano ’22E and Kenny Chen ’22
- Hampshire College: Campbell van Horn
- Mount Holyoke College: Grace Rhodes '22
- Smith College: Sarah Gillespie ’22J, Joyce Huang ’22, Arris Moise ’22,
Chichi Wu ’22 - University of Massachusetts, Amherst (Biostatistics): Li Shandross
- University of Massachusetts, Amherst (Statistics): Alexis Edozie
Congratulations to all of these students for their excellent work!
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!
Courses
Spring 2023 Statistics Courses
| Subject | Course # | Sect # | Course Title | Instructor(s) | Institution | Meeting Times |
|---|---|---|---|---|---|---|
| MATH | 370 | 01 | Theoretical Statistics | Kevin Donges | Amherst College | M/W/F | 11:00 AM - 11:50 AM |
| STAT | 210 | 01 | Mining History Holyoke | Nicholas Horton | Amherst College | TU/TH | 2:30 PM - 4:20 PM |
| STAT | 230 | 01 | Intermediate Statistics | Shu-Min Liao | Amherst College | TU/TH | 8:30 AM - 9:50 AM |
| STAT | 230 | 02 | Intermediate Statistics | Nicholas Horton | Amherst College | TU/TH | 10:00 AM - 11:20 AM |
| STAT | 231 | 01 | Data Science | Katharine Correia | Amherst College | TU/TH | 11:30 AM - 12:50 PM |
| STAT | 231 | 02 | Data Science | Katharine Correia | Amherst College | TU/TH | 1:00 PM - 2:20 PM |
| STAT | 320 | 01 | Statistics Communication | Pamela Matheson | Amherst College | M/W/F | 1:00 PM - 1:50 PM |
| NS | 0240 | 1 | Statistics | Elizabeth Conlisk | Hampshire College | 02:30PM-03:50PM TU;02:30PM-03:50PM TH |
| DATA | 390 | 01 | Data Science Capstone | Kenneth Mulder | Mount Holyoke College | TTH 09:00AM-10:15AM |
| STAT | 140 | 01 | Intro Ideas/Applic Statistics | Pramesh Subedi | Mount Holyoke College | MWF 08:30AM-09:45AM |
| STAT | 140 | 02 | Intro Ideas/Applic Statistics | Pramesh Subedi | Mount Holyoke College | MWF 10:00AM-11:15AM |
| STAT | 140 | 03 | Intro Ideas/Applic Statistics | Isabelle Beaudry | Mount Holyoke College | MWF 11:30AM-12:45PM |
| STAT | 242 | 01 | Intermediate Statistics | Laurie Tupper | Mount Holyoke College | MWF 10:00AM-11:15AM |
| STAT | 242 | 02 | Intermediate Statistics | Pramesh Subedi | Mount Holyoke College | MWF 01:45PM-03:00PM |
| STAT | 340 | 01 | Applied Regression Methods | Isabelle Beaudry | Mount Holyoke College | MWF 08:30AM-09:45AM |
| STAT | 343 | 01 | Mathematical Statistics | Laurie Tupper | Mount Holyoke College | MWF 01:45PM-03:00PM |
| GOV | 338 | 01 | Res Sem: Political Networks | Scott J. LaCombe | Smith College | TU TH 2:45 PM - 4:00 PM |
| SDS | 192 | 01 | Intro to Data Sciences | Shiya Cao | Smith College | M W F 9:25 AM - 10:40 AM |
| SDS | 192 | 02 | Intro to Data Sciences | Shiya Cao | Smith College | M W F 10:50 AM - 12:05 PM |
| SDS | 236 | 01 | Data Journalism | Ben Baumer,Naila F. Moreira | Smith College | M 1:40 PM - 2:55 PM; W 1:20 PM - 2:35 PM |
| SDS | 237 | 01 | Data Ethnography | Lindsay Poirier | Smith College | TU TH 9:25 AM - 10:40 AM |
| SDS | 270 | 01 | Adv Programming-Data Science | Jared Joseph | Smith College | M W F 9:25 AM - 10:40 AM |
| SDS | 290 | 01 | Research Design & Analysis | Scott J. LaCombe | Smith College | TU TH 10:50 AM - 12:05 PM |
| SDS | 291 | 01 | Multiple Regression | Faith Zhang | Smith College | TU TH 1:20 PM - 2:35 PM |
| SDS | 291 | 02 | Multiple Regression | Faith Zhang | Smith College | TU TH 2:45 PM - 4:00 PM |
| SDS | 320 | 01 | Sem: Mathematical Statistics | Kaitlyn Cook | Smith College | TU TH 9:25 AM - 10:40 AM |
| SDS | 338 | 01 | Res Sem: Political Networks | Scott J. LaCombe | Smith College | TU TH 2:45 PM - 4:00 PM |
| BIOSTATS | 640 | 01 | Intrmd Biostatistics | Carol Bigelow | UMass Amherst | W 4:00PM 6:30PM |
| BIOSTATS | 690P | 01 | Topics/Biostats&Data Sci/Pubhl | Jing Qian,Chi Hyun Lee | UMass Amherst | TU TH 2:30PM 3:45PM |
| BIOSTATS | 691F | 01 | S- Data Mgmt & Analysis/SAS | Scott Chasan-Taber | UMass Amherst | TU TH 1:00PM 2:15PM |
| BIOSTATS | 740 | 01 | Analysis of Mixed Models Data | Ken Kleinman | UMass Amherst | TU TH 4:00PM 5:15PM |
| BIOSTATS | 740 | 02 | Analysis of Mixed Models Data | Ken Kleinman | UMass Amherst | TU TH 4:00PM 5:15PM |
| BIOSTATS | 750 | 01 | Applied Statistical Learning | Jing Qian | UMass Amherst | M W 2:30PM 3:45PM |
| PUBHLTH | 223 | 01 | Intro/Biostats for PUBHLTH | Scott Chasan-Taber | UMass Amherst | M W F 9:05AM 9:55AM |
| PUBHLTH | 460 | 01 | TellingStories/DataStatModelVi | Nicholas Reich | UMass Amherst | TU TH 10:00AM 11:15AM |
| STATISTC | 108 | 01 | Foundations of Data Science | Yueqiao Zhang | UMass Amherst | M W F 11:15AM 12:05PM |
| STATISTC | 108 | 01LL | Foundations of Data Science | UMass Amherst | W 4:00PM 4:50PM | |
| STATISTC | 108 | 01LM | Foundations of Data Science | UMass Amherst | W 1:25PM 2:15PM | |
| STATISTC | 111 | 01 | Elementary Statistics | Xinlong Weng | UMass Amherst | TU TH 10:00AM 11:15AM |
| STATISTC | 111 | 01AA | Elementary Statistics | UMass Amherst | W 8:00AM 8:50AM | |
| STATISTC | 111 | 01AB | Elementary Statistics | UMass Amherst | W 9:05AM 9:55AM | |
| STATISTC | 111 | 01AC | Elementary Statistics | UMass Amherst | W 5:30PM 6:20PM | |
| STATISTC | 111 | 01AD | Elementary Statistics | UMass Amherst | W 4:00PM 4:50PM | |
| STATISTC | 111 | 01AE | Elementary Statistics | UMass Amherst | W 12:20PM 1:10PM | |
| STATISTC | 111 | 01AF | Elementary Statistics | UMass Amherst | W 5:30PM 6:20PM | |
| STATISTC | 111 | 01AG | Elementary Statistics | UMass Amherst | W 2:30PM 3:20PM | |
| STATISTC | 111 | 01AJ | Elementary Statistics | UMass Amherst | W 11:15AM 12:05PM | |
| STATISTC | 240 | 01 | Intro To Statistics | Joanna Jeneralczuk | UMass Amherst | TU TH 1:00PM 2:15PM |
| STATISTC | 240 | 01AA | Intro To Statistics | UMass Amherst | W 9:05AM 9:55AM | |
| STATISTC | 240 | 01AB | Intro To Statistics | UMass Amherst | W 10:10AM 11:00AM | |
| STATISTC | 240 | 01AC | Intro To Statistics | UMass Amherst | W 2:30PM 3:20PM | |
| STATISTC | 240 | 01AD | Intro To Statistics | UMass Amherst | W 4:00PM 4:50PM | |
| STATISTC | 240 | 01AE | Intro To Statistics | UMass Amherst | W 1:25PM 2:15PM | |
| STATISTC | 240 | 01AF | Intro To Statistics | UMass Amherst | W 5:30PM 6:20PM | |
| STATISTC | 240 | 01AG | Intro To Statistics | UMass Amherst | W 5:30PM 6:20PM | |
| STATISTC | 240 | 01AJ | Intro To Statistics | UMass Amherst | W 4:00PM 4:50PM | |
| STATISTC | 240 | 02 | Intro To Statistics | Joanna Jeneralczuk | UMass Amherst | TU TH 4:00PM 5:15PM |
| STATISTC | 240 | 02AA | Intro To Statistics | UMass Amherst | M 4:00PM 4:50PM | |
| STATISTC | 240 | 02AB | Intro To Statistics | UMass Amherst | M 10:10AM 11:00AM | |
| STATISTC | 240 | 02AC | Intro To Statistics | UMass Amherst | M 4:00PM 4:50PM | |
| STATISTC | 240 | 02AD | Intro To Statistics | UMass Amherst | M 5:30PM 6:20PM | |
| STATISTC | 240 | 02AE | Intro To Statistics | UMass Amherst | M 9:05AM 9:55AM | |
| STATISTC | 240 | 02AF | Intro To Statistics | UMass Amherst | M 2:30PM 3:20PM | |
| STATISTC | 240 | 02AG | Intro To Statistics | UMass Amherst | M 11:15AM 12:05PM | |
| STATISTC | 240 | 02AJ | Intro To Statistics | UMass Amherst | M 5:30PM 6:20PM | |
| STATISTC | 310 | 01 | Fundamental Concepts/Stats | Sepideh Mosaferi | UMass Amherst | TU TH 10:00AM 11:15AM |
| STATISTC | 501 | 01 | Meth Applied Stats | Joanna Jeneralczuk | UMass Amherst | TU TH 11:30AM 12:45PM |
| STATISTC | 515 | 01 | Statistics I | Michael Sullivan | UMass Amherst | TU TH 10:00AM 11:15AM |
| STATISTC | 515 | 02 | Statistics I | Qian-Yong Chen | UMass Amherst | M W F 12:20PM 1:10PM |
| STATISTC | 515 | 03 | Statistics I | Wuzhe Xu | UMass Amherst | M W F 1:25PM 2:15PM |
| STATISTC | 515 | 04 | Statistics I | Yalin Rao | UMass Amherst | M W F 11:15AM 12:05PM |
| STATISTC | 515 | 05 | Statistics I | Michael Sullivan | UMass Amherst | TU TH 8:30AM 9:45AM |
| STATISTC | 515 | 06 | Statistics I | Xinlong Weng | UMass Amherst | TU TH 1:00PM 2:15PM |
| STATISTC | 515 | 07 | Statistics I | Xinlong Weng | UMass Amherst | TU TH 2:30PM 3:45PM |
| STATISTC | 516 | 01 | Statistics II | Sepideh Mosaferi | UMass Amherst | TU TH 8:30AM 9:45AM |
| STATISTC | 516 | 02 | Statistics II | Jonathan Larson | UMass Amherst | M W F 11:15AM 12:05PM |
| STATISTC | 516 | 03 | Statistics II | Jonathan Larson | UMass Amherst | M W F 10:10AM 11:00AM |
| STATISTC | 516 | 04 | Statistics II | Krista Gile | UMass Amherst | TU TH 2:30PM 3:45PM |
| STATISTC | 525 | 01 | Regression&Analysis/Variance | Yalin Rao | UMass Amherst | M W F 10:10AM 11:00AM |
| STATISTC | 525 | 02 | Regression&Analysis/Variance | Maryclare Griffin | UMass Amherst | TU TH 10:00AM 11:15AM |
| STATISTC | 525 | 03 | Regression&Analysis/Variance | Yueqiao Zhang | UMass Amherst | M W F 1:25PM 2:15PM |
| STATISTC | 525 | 04 | Regression&Analysis/Variance | UMass Amherst | TU TH 2:30PM 3:45PM | |
| STATISTC | 526 | 01 | Design Of Experiments | Zijing Zhang | UMass Amherst | TH 6:00PM 8:30PM |
| STATISTC | 535 | 01 | Statistical Computing | Patrick Flaherty | UMass Amherst | M W 2:30PM 3:45PM |
| STATISTC | 597T | 01 | ST- Analysis of Discrete Data | Daeyoung Kim | UMass Amherst | M W F 12:20PM 1:10PM |
| STATISTC | 598C | 01 | StatisticalConsultingPracticum | Krista Gile | UMass Amherst | TH 11:30AM 12:45PM |
| STATISTC | 608 | 01 | Math Statistics II | John Staudenmayer | UMass Amherst | M W F 11:15AM 12:05PM |
| STATISTC | 608 | 02 | Math Statistics II | Hyunsun Lee | UMass Amherst | M 6:00PM 8:30PM |
| STATISTC | 610 | 01 | Bayesian Statistics | Erin Conlon | UMass Amherst | SA 1:00PM 3:30PM |
| STATISTC | 697MV | 01 | ST- Applied Multivariate Stats | Shai Gorsky | UMass Amherst | TU 6:00PM 8:30PM |
| STATISTC | 697TS | 01 | ST-Time Series Analysis & Appl | Daeyoung Kim | UMass Amherst | M W 2:30PM 3:45PM |
| STATISTC | 697V | 01 | ST- Data Visualization | Shai Gorsky | UMass Amherst | W 6:00PM 8:30PM |
| STATISTC | S690S | 01 | Appl Semiparametric Regression | John Staudenmayer | UMass Amherst | M W F 10:10AM 11:00AM |
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:
Nicholas (Nick) Horton, Beitzel Professor in Technology and Society, Department of Mathematics & Statistics, Amherst College (+ Program Chair)
Laurie Tupper, Associate Professor of Statistics, Mount Holyoke College (+ Webmaster)
Scott LaCombe, Assistant Professor, Department of Government and of Statistical & Data Sciences, Smith College
Evan Ray, Assistant Professor, Department of Biostatistics, UMass (+ Secretary/Treasurer)
Haben Michael, Assistant Professor, Department of Statistics, UMass
Liz Conlisk, Dean of Natural Science, Cognitive Science and Critical Social Inquiry and Professor of Public Health, Hampshire College
Five College Staff Liaison:
Ray Rennard, Director of Academic Programs