Statistics uses mathematics as part of theory, computer science as part of computation, and other disciplines in applications. From the introductory to the advanced courses, students learn to describe data, summarize analyses, explain simulations, present implications of theories, and generally expand their understanding of probability and statistics. Faculty help students become better askers of questions, developers of arguments and research plans, and communicators of results.

Statistics enables you to seek answers in creative ways to complex questions. A major focus of statistics is understanding patterns in the world in light of inherent uncertainty. What study designs allow you to make valid conclusions about issues in society? How can you summarize complex quantitative information and make principled inferential statements about populations? Is the available evidence sufficient for establishing a causal relationship among factors?

Statistics, through its development of principles of study design and analysis, has played key roles in the development of agriculture, medicine, and social science to inform public policy and decision making. In order to study and address many of the challenges in our society, it is necessary to have reliable, timely information. One must have the tools to summarize, investigate, and communicate important findings from the information. Statistics plays a critical role in many efforts to enhance the conditions of the world.

Statistics Learning Outcomes

Statistics Major Requirements

Statistics Minor Requirements

Sample Four Year Plan for Statistics Majors*

First Year
Fall Spring
MA 150
Calculus I 
MA 160 Calculus II 
ST 120 Elementary Statistics CS 111 Introduction to Computer Science I
First Year Seminar Liberal Studies course
Liberal Studies course Liberal Studies course
Fall Spring
DS 203 Introduction to Data Science ST 251 Probability
MA 211 Calculus III MA 213 Linear Algebra
Liberal Studies course Liberal Studies course
Elective Elective
Fall Spring
ST 351 Applied Regression Analysis   Math or Computer Science Elective  
ST 252  Mathematical Statistics   Elective  
  Junior Seminar     Elective 
  Elective    Elective  
Fall Spring
ST 451 Applied Statistical Methods ST 410 Statistics Senior Seminar
  Electives    Electives 

Consult with your faculty advisor to discuss other ways to tailor the Statistics major to fit your academic interests and other plans.

* For students who enroll in the fall of 2018.

George Ashline, PhD

Professor of Mathematics and Statistics
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Jeanmarie Hall 261
Box 355
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M.S., Ph.D. University of Notre Dame
B.S. St. Lawrence University

Areas of Expertise:

Mathematics education and mathematics pedagogy; mathematical preparation of in-service and pre-service teachers; and complex analysis.

Courses I Teach:

  • Calculus
  • Complex Analysis (view a classroom recording)
  • History of Mathematics
  • Linear Algebra
  • Mathematics Education Seminar
  • Number Theory
  • Real Analysis

Amir Barghi, Ph.D.

Assistant Professor of Mathematics and Statistics

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Jeanmarie Hall 260
Box 211
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Ph.D. Dartmouth College
M.A. Dartmouth College
M.S. Rochester Institute of Technology
B.S. University of Tehran

Areas of Expertise and Interest:

Algebraic and probabilistic graph theory; statistics and data science; enumerative combinatorics; stochastic processes. 

Courses I Teach:

  • Elementary Statistics
  • Probability and Statistics
  • Calculus I, II & III,
  • Linear Algebra
  • Introduction to Mathematical Proofs
  • Abstract Algebra I 

Jo Ellis-Monaghan, PhD

Mathematics and Statistics Department Chair, Professor of Mathematics and Statistics
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Jeanmarie Hall 279
Box 285
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Ph.D. University of North Carolina, Chapel Hill
M.S. University of Vermont
B.A. Bennington College

View my personal website

Areas of Expertise:

Algebraic combinatorics, especially graph polynomials, and applied graph theory in statistical mechanics, computer chip design and bioinformatics. 

Courses I Teach:

Calculus I, II, III, Applied Graph Theory, Linear Algebra, Real Analysis, Abstract Algebra, Senior Seminar

Jim Hefferon, PhD

Professor of Mathematics and Statistics

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Saint Edmund's Hall 245
Box 285
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B.S., M.S., Ph.D. University of Connecticut

My background is in the theory of computation.

Courses I Teach:

  • Calculus
  • Numerical Methods
  • Statistics
  • Theory of Computing

Zsuzsanna Kadas, PhD

Engineering Co-Director, Professor of Mathematics and Statistics
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Jeanmarie Hall 263
Box 361
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M.S., Ph.D. Rutgers University
B.S. St. John's University

Areas of Expertise:

Differential equations; nonlinear dynamics; chaos and fractals; reaction-diffusion systems; mathematical models in chemistry, physiology, population dynamics

Courses I Teach:

  • Applied Mathematics
  • Calculus I and II
  • Differential Equations
  • Discrete Mathematics

Michael Larsen, PhD

Professor of Mathematics and Statistics

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Jeanmarie Hall 259
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M.A., Ph.D. Harvard University, Statistics

B.A., Harvard College, Mathematics cum laude

Courses I Teach

Introductory Statistics, Biostatistics, Probability, Mathematical Statistics, Regression, Data Analysis, Readings and Research in Statistics, and Statistical Topics

Interests and Areas of Research

Data Analysis, Statistical modeling, Survey sampling, Missing data, Record linkage and administrative data, Bayesian methods, Hierarchical models, Confidentiality, and Teaching Statistics

Professional Experience

2018 -present, Member of Education Committee, New England Statistical Society

2017-present, Professor of Mathematics and Statistics, Saint Michael’s College

2011-present, Advisroy Editor, Chance Magazine

2009-2017, Department of Statistics and Biostatistics Center, George Washington University

2009-10, Executive Editor, Chance Magazine

2003-2009, Dept. of Statistics and Center for Survey Statistics & Methodology, Iowa State University

1999-2003, Department of Statistics and National Opinion Research Center, The University of Chicago

1997-1999, Department of Statistics, Harvard University

1996-1997, Department of Statistics, Stanford University

Various summers, Mathematical Statistician, U.S. Census Bureau

1995 – present, Statistical Consultant,


Barbara O'Donovan, MS

Instructor of Engineering and Mathematics & Statistics, Engineering Program Coordinator

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Jeanmarie Hall 255
Box 364
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B.S. in Mathematics, University of Massachusetts at Amherst
M.S in Mechanical Engineering, University of Massachusetts Amherst

Courses I Teach

Math for Social Justice, Calculus, Statics, Elements of Calculus, Introduction to Engineering

Areas of Expertise 

Mathematics and Engineering Education, Wind Energy Applications

I care deeply about my students’ learning and I want all students to feel capable and competent using mathematics in their everyday lives. In the classroom, I use a differentiated approach to instruction and strive to elicit higher order thinking skills to encourage students to use critical thinking to develop problem solving strategies. Being comfortable with mathematics in our ever-changing and high-tech world is essential!

Lloyd Simons, PhD

Engineering Co-Director, Professor of Mathematics and Statistics

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Jeanmarie Hall 286
Box 369
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M.Sc., Ph.D. McGill University
B.Sc. University of British Columbia

Areas of Expertise:

Algebraic Number Theory; Algebraic K Theory

Courses I Teach:

  • Abstract Algebra
  • Calculus I,II,III
  • Linear Algebra
  • Probability and Statistics

My favorite class to teach is Calculus III. I very much like the material, which is the interplay of geometry and calculus. The power of mathematics to solve hard problems really begins to be evident in this class. And at this point, the students are for the most part very mathematically smart, motivated, and interested in the material.

My Saint Michael's:

Saint Michael's students are bright, polite, outgoing, and usually willing to learn. What more could a professor ask for?  The smaller class sizes and the relatively relaxed relationship one can have with one's students are also things I appreciate along with the overall friendly atmosphere of the students and the faculty.

Statistics as a field has experienced tremendous growth and development in the last couple of decades. There is great unfulfilled demand in the workforce for people trained in quantitative methods in general and in statistics in particular. Jobs in banking, insurance, real estate, finance, news analysis and reporting, weather forecasting, medicine, public health, public policy and administration, transportation, sports analytics, management, marketing, and business in general increasingly utilize statistical methods in routine practice. Research across a wide spectrum of disciplines, including biology, business administration, computer science, economics, education, engineering, environmental science, health and medicine, political science, psychology, public opinion, and sociology, to an extent never seen before uses and relies on statistical methods and insight.

The career outlook for Statistics graduates is excellent. According to CareerCast, demand for statisticians is expected to grow by 34% in the next seven years.

For more information on careers in Statistics, visit our Alumni Spotlights.

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