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

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:

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 ConliskDean 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