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A statistics student discusses her research poster with a faculty member.

Statistics is the science and art of enhancing knowledge in the face of uncertainty with modeling, predictions, and decisions. As a statistics student at UMN Morris, you’ll learn the theory and methods of statistics and how to apply that knowledge in solving problems related to medicine, law, technology, finance, business, public policy, the environment, computing, and science in general.

UMN Morris is one of the few liberal arts colleges in the country that offers a statistics major. Courses cover a wide range of topics, including those pertaining to applied statistics, biostatistics, actuarial science, and data science. You’ll be taught how to create and apply statistical methods for collecting, storing, analyzing, processing, and communicating qualitative and quantitative information. You’ll learn how to use statistical tools and develop data analysis skills. Through scholarly activity, collaboration, and outreach, you’ll learn to communicate effectively with people in other fields and understand the substance of those fields. UMN Morris’s statistics curriculum will prepare you for graduate school or to pursue a career in statistics and data science.

Degree Requirements

  • Major Requirements
  • Minor Requirements
  • Four-Year Sample Plan 1
  • Four-Year Sample Plan 2
  • Three-Year Sample Plan

Student Learning Outcomes

By completing a degree in statistics, you will be able to 

  • model and solve real-world problems by analyzing them statistically to determine an appropriate approach toward solutions;
  • write, read, and construct proofs of key statistical results;
  • create estimated models, data displays, and new datasets to address problems using computing tools;
  • demonstrate a basic knowledge of calculus, analysis, linear algebra, and probability, and their importance to statistics; and 
  • explain a theorem, statistical model, and the results of a statistical analysis to a non-specialist audience.

General Education Requirements

The University of Minnesota and its faculty are committed to providing an education that invites you to investigate the world from new perspectives, learn new ways of thinking, and grow as an active citizen and lifelong learner. The University’s general education requirements are designed to be integrated throughout your four-year undergraduate experience. These courses provide you an opportunity to explore fields outside your major and complement your major curriculum with a multidisciplinary perspective.

  • Learn more about UMN Morris General Education Requirements
  • World Language Placement Exam
  • Math Placement Exam

Will my courses transfer?

Put your credits to work for you at UMN Morris, where you’ll earn a degree from a highly ranked public liberal arts university. 

Learn more about how we transfer credits

Careers & Graduate School

Here are just some of the more common occupations that UMN Morris statistics graduates hold:

  • Biostatistician
  • Business analyst
  • Data engineer
  • Data scientist
  • Data science manager
  • Business intelligence analyst 
  • Pricing analyst
  • Quantitative analyst
  • Research data analyst

Because data is key to solving  problems, the need for statistics applies to almost every industry. Companies and organizations where recent UMN Morris statistics graduates have found employment include:

  • Big Sun Holdings Group
  • Federated Insurance
  • Musicland Group
  • Minnesota Department of Health
  • Securian Financial
  • Target Corporation
  • United Network of Organ Sharing
  • Weill Cornell Medicine

Graduate School

Many UMN Morris statistics majors have furthered their studies at graduate schools across the country, some of which include:

  • Iowa State University
  • Kansas State University
  • University of Michigan
  • University of Iowa
  • University of Virginia

Cost of Attendance

The University of Minnesota Morris is a national public liberal arts college committed to making a high-quality education available to students from across the country. Expenses for housing, meals, books and supplies, transportation, loan fees, and personal expenditures can vary.

Emil and Lois Anderson Scholarship

This scholarship was established by Denise Anderson ‘83 and Laura Newman ’88 to honor their parents. Emil and Lois consistently encouraged the educational aspirations of all of their children, with their two daughters graduating from the University of Minnesota Morris and their son attending the University of Minnesota. Denise and Laura feel that UMM’s environment, where student education is the top priority, allowed them to thrive. This scholarship is their way to perpetuate that in future generations.

All Available Scholarships

Explore available scholarships

Research & Engagement

The UMN Morris statistics discipline regularly incorporates academic research as part of a well-rounded undergraduate experience. This allows you to participate in established research opportunities both on campus and off, through local and national agencies.

You’ll also participate in a senior seminar that integrates your statistical knowledge into a single year-long project and presentation. Over the course of your senior year, you’ll meet regularly with your adviser to create a project focused on applied statistics or statistical theory. The project also gives you the chance to demonstrate your skills in writing, critical thinking, and public speaking. Recent examples of projects include “Investigating Polarization in Critic and Audience Review Scores via Analysis of Extremes, Medians, Averages, and Correlations” and "Univariate and Multivariate Machine Learning Forecasting Models on the Price Returns of Cryptocurrencies."

There are many opportunities to engage with your major at UMN Morris, such as joining clubs, working an internship, or getting involved with related organizations: 

  • American Statistical Association
  • The International Biometric Society
  • International Statistical Institute
  • American Institute of Mathematics
  • American Mathematical Society

Opportunities for Students

Undergraduate research symposium.

The Undergraduate Research Symposium (URS) offers students an opportunity to present research plus scholarly and creative work. Types of presentations include posters, oral presentations, and short or abbreviated theatrical, dance, or musical performances.

  • Creative Activity

Undergraduate Research Opportunities Program

The Undergraduate Research Opportunities Program (UROP) provides University of Minnesota undergraduates from every college, major, and discipline, the opportunity to partner with a faculty member on research or creative projects.

Morris Academic Partnership

The University of Minnesota Morris offers the Morris Academic Partnership (MAP) program, in which faculty select academically talented, qualified second-year and third-year students to assist them in scholarly and creative projects. Selected MAP students undertake assignments intended to enhance their intellectual competence and increase their interest in graduate or professional study.

  • Morris Academic Partnership (MAP)

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Library Home

Statistics for Research Students

(2 reviews)

statistics phd umn

Erich C Fein, Toowoomba, Australia

John Gilmour, Toowoomba, Australia

Tayna Machin, Toowoomba, Australia

Liam Hendry, Toowoomba, Australia

Copyright Year: 2022

ISBN 13: 9780645326109

Publisher: University of Southern Queensland

Language: English

Formats Available

Conditions of use.

Attribution

Learn more about reviews.

Reviewed by Sojib Bin Zaman, Assistant Professor, James Madison University on 3/18/24

From exploring data in Chapter One to learning advanced methodologies such as moderation and mediation in Chapter Seven, the reader is guided through the entire process of statistical methodology. With each chapter covering a different statistical... read more

Comprehensiveness rating: 5 see less

From exploring data in Chapter One to learning advanced methodologies such as moderation and mediation in Chapter Seven, the reader is guided through the entire process of statistical methodology. With each chapter covering a different statistical technique and methodology, students gain a comprehensive understanding of statistical research techniques.

Content Accuracy rating: 5

During my review of the textbook, I did not find any notable errors or omissions. In my opinion, the material was comprehensive, resulting in an enjoyable learning experience.

Relevance/Longevity rating: 5

A majority of the textbook's content is aligned with current trends, advancements, and enduring principles in the field of statistics. Several emerging methodologies and technologies are incorporated into this textbook to enhance students' statistical knowledge. It will be a valuable resource in the long run if students and researchers can properly utilize this textbook.

Clarity rating: 5

A clear explanation of complex statistical concepts such as moderation and mediation is provided in the writing style. Examples and problem sets are provided in the textbook in a comprehensive and well-explained manner.

Consistency rating: 5

Each chapter maintains consistent formatting and language, with resources organized consistently. Headings and subheadings worked well.

Modularity rating: 5

The textbook is well-structured, featuring cohesive chapters that flow smoothly from one to another. It is carefully crafted with a focus on defining terms clearly, facilitating understanding, and ensuring logical flow.

Organization/Structure/Flow rating: 5

From basic to advanced concepts, this book provides clarity of progression, logical arranging of sections and chapters, and effective headings and subheadings that guide readers. Further, the organization provides students with a lot of information on complex statistical methodologies.

Interface rating: 5

The available formats included PDFs, online access, and e-books. The e-book interface was particularly appealing to me, as it provided seamless navigation and viewing of content without compromising usability.

Grammatical Errors rating: 5

I found no significant errors in this document, and the overall quality of the writing was commendable. There was a high level of clarity and coherence in the text, which contributed to a positive reading experience.

Cultural Relevance rating: 5

The content of the book, as well as its accompanying examples, demonstrates a dedication to inclusivity by taking into account cultural diversity and a variety of perspectives. Furthermore, the material actively promotes cultural diversity, which enables readers to develop a deeper understanding of various cultural contexts and experiences.

In summary, this textbook provides a comprehensive resource tailored for advanced statistics courses, characterized by meticulous organization and practical supplementary materials. This book also provides valuable insights into the interpretation of computer output that enhance a greater understanding of each concept presented.

Reviewed by Zhuanzhuan Ma, Assistant Professor, University of Texas Rio Grande Valley on 3/7/24

The textbook covers all necessary areas and topics for students who want to conduct research in statistics. It includes foundational concepts, application methods, and advanced statistical techniques relevant to research methodologies. read more

The textbook covers all necessary areas and topics for students who want to conduct research in statistics. It includes foundational concepts, application methods, and advanced statistical techniques relevant to research methodologies.

The textbook presents statistical methods and data accurately, with up-to-date statistical practices and examples.

Relevance/Longevity rating: 4

The textbook's content is relevant to current research practices. The book includes contemporary examples and case studies that are currently prevalent in research communities. One small drawback is that the textbook did not include the example code for conduct data analysis.

The textbook break down complex statistical methods into understandable segments. All the concepts are clearly explained. Authors used diagrams, examples, and all kinds of explanations to facilitate learning for students with varying levels of background knowledge.

The terminology, framework, and presentation style (e.g. concepts, methodologies, and examples) seem consistent throughout the book.

The textbook is well organized that each chapter and section can be used independently without losing the context necessary for understanding. Also, the modular structure allows instructors and students to adapt the materials for different study plans.

The textbook is well-organized and progresses from basic concepts to more complex methods, making it easier for students to follow along. There is a logical flow of the content.

The digital format of the textbook has an interface that includes the design, layout, and navigational features. It is easier to use for readers.

The quality of writing is very high. The well-written texts help both instructors and students to follow the ideas clearly.

The textbook does not perpetuate stereotypes or biases and are inclusive in their examples, language, and perspectives.

Table of Contents

  • Acknowledgement of Country
  • Accessibility Information
  • About the Authors
  • Introduction
  • I. Chapter One - Exploring Your Data
  • II. Chapter Two - Test Statistics, p Values, Confidence Intervals and Effect Sizes
  • III. Chapter Three- Comparing Two Group Means
  • IV. Chapter Four - Comparing Associations Between Two Variables
  • V. Chapter Five- Comparing Associations Between Multiple Variables
  • VI. Chapter Six- Comparing Three or More Group Means
  • VII. Chapter Seven- Moderation and Mediation Analyses
  • VIII. Chapter Eight- Factor Analysis and Scale Reliability
  • IX. Chapter Nine- Nonparametric Statistics

Ancillary Material

About the book.

This book aims to help you understand and navigate statistical concepts and the main types of statistical analyses essential for research students. 

About the Contributors

Dr Erich C. Fein  is an Associate Professor at the University of Southern Queensland. He received substantial training in research methods and statistics during his PhD program at Ohio State University.  He currently teaches four courses in research methods and statistics.  His research involves leadership, occupational health, and motivation, as well as issues related to research methods such as the following article: “ Safeguarding Access and Safeguarding Meaning as Strategies for Achieving Confidentiality .”  Click here to link to his  Google Scholar  profile.

Dr John Gilmour  is a Lecturer at the University of Southern Queensland and a Postdoctoral Research Fellow at the University of Queensland, His research focuses on the locational and temporal analyses of crime, and the evaluation of police training and procedures. John has worked across many different sectors including PTSD, social media, criminology, and medicine.

Dr Tanya Machin  is a Senior Lecturer and Associate Dean at the University of Southern Queensland. Her research focuses on social media and technology across the lifespan. Tanya has co-taught Honours research methods with Erich, and is also interested in ethics and qualitative research methods. Tanya has worked across many different sectors including primary schools, financial services, and mental health.

Dr Liam Hendry  is a Lecturer at the University of Southern Queensland. His research interests focus on long-term and short-term memory, measurement of human memory, attention, learning & diverse aspects of cognitive psychology.

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The Division of Biostatistics & Health Data Science (BHDS) focuses on the development of statistical methods for biomedical research. We collaborate with University research partners on projects involving HIV/AIDS, heart and lung disease, cancer, neuroimaging, and many other clinical disciplines.

Performing methodological research in areas including Bayesian analysis, spatial statistics, statistical genetics, and causal inference, division faculty, students, and staff are involved in more than 100 research grants and contracts totaling more than $150 million.

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2024 MN Cup Semifinalists

Monday, May 20, 2024

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May 20, 2024 — MN Cup is proud to announce the 90 companies moving forward to our Semifinal Round, the top finishers from each of our nine divisions. We had a record number of applications and participants in the first round of our process. 3,178 Minnesotans participated - 10% more than our previous record in 2023. MN Cup continues to make targeted efforts and progress in reaching underrepresented groups.

  • 43% of our participants identify as female
  • 39% identify as non-white
  • 31% of applicants are from Greater Minnesota

Read more about MN Cup 2024 participants.

The following companies will move forward to create a pitch deck, summary business plan and one minute video while accessing free mentorship, education and publicity through July. Ultimately, they’ll compete for a share of more than $400,000 cash prizes and gain the opportunity to accelerate their businesses with no equity taken in exchange. 

During this exciting 20th season of MN Cup we’re also proud of the impact of the competition on the high-growth startups and innovation of our state. Capital raised by MN Cup alumni exceeds $1.1 Billion. To stay up to date on the progress of our companies, follow @MinnesotaCup on Instagram and LinkedIn, and sign up for our newsletter here .

The 2024 MN Cup Semifinalists are: 

Education & Training

  • Developing Readers Academy  
  • Awesome People Leaders
  • TITAN Simulation
  • Ekwe.app LLC
  • Healthy Root Institute
  • CollegeBound Journey
  • School Data Sync

Energy/Cleantech/Water

  • Nucleic Sensing Systems
  • Live On Minnesota
  • Aza Power Systems
  • Alkali Earth
  • Energy ReLeaf
  • Apex Water Solutions
  • Nestar Energy

Food/Ag/Beverage

  • Loon Liquors Distillery
  • Deeply Rooted
  • Dapper Barons Low-Sugar Spirits
  • Vanilla Bean Project
  • Vikings and Goddesses Pie Company
  • In-Cider Orchard
  • Momease Solutions
  • SeeWeed Underwater Game Cameras
  • effortlo LLC
  • Empower Independence Company
  • Freedom Vehicle Lift DBA Freedom Race Lifts
  • Anarus, Inc
  • The Jenny Project

Impact Ventures

  • SENSE-ational Spaces
  • Nashke Native Games
  • Enlightened Gastro
  • DreamLife Destiny
  • Small Town Vibes
  • Seraph 7 Studios
  • Spirit Care Services
  • ESPI Properties

LifeScience/Health IT

  • Hinckley Medical, Inc .
  • Pelva Health Corporation
  • Lightfield Medical
  • Aplos Medical
  • CorRen Medical
  • Heart Failure Solutions
  • Objective Biotechnology
  • RORA Intimacy Products
  • Vertex Medical Solutions
  • X Hydration
  • REACH Youth Juggling 
  • Relataspace
  • OpenSky Outdoor Services
  • Vigilance Safety

MN Cup is a community-led, public-private partnership that brings together corporations, investors, foundations, government and skilled volunteers to support Minnesota’s entrepreneurs. The core of our programming is an annual competition that reaches emerging entrepreneurs from across the state and connects them with education, mentorship and resources to launch and accelerate the development of their new ventures. The competition inspires entrepreneurs to begin their startup journey, supports them as they develop a solid business plan, provides exposure for their ideas and offers numerous opportunities to expand their networks. Since 2005 MN Cup has given away $5.4 Million in seed capital, taking no equity in exchange. Our alumni companies have gone on to raise over $1.1 Billion. MN Cup is a program of the Holmes Center for Entrepreneurship at the University of Minnesota's Carlson School of Management. To learn more about our process and register for an info session or office hours, visit MN Cup . 

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Faculty Retirements

Scott abernathy, send scott your well wishes.

We invite you to  send Scott your well wishes (Google form) . If you wish to donate to the department in Scott's honor, please direct your gift to the  Charles Backstrom Scholarship .

Distinguished Teaching Professor Scott Abernathy is retiring from the Department of Political Science after more than twenty years of teaching.  

Scott has been recognized as the recipient of the Horace T. Morse Award for Outstanding Contributions to Undergraduate Education (2010) and the Outstanding Faculty Partner Award (2019) for his work with Ramsey County on the Resilient Communities Project.

Throughout his time here, Scott served the department as the director of undergraduate studies, director of Honors, and chair of the Equity and Diversity Committee. 

Scott’s research and publications focused on education policy, methods and reform; democracy; bureaucracy; and American government. He published two books and many articles about these topics. He also authored multiple editions of a groundbreaking textbook on American government. 

John Freeman

Send john your well wishes.

We invite you to  send John your well wishes (Google form) . If you wish to donate to the department in John's honor, please direct your gift to the  Charles Backstrom Scholarship or  Raymond Duvall Scholarship .

After forty years in the Department of Political Science, Distinguished McKnight University Professor John Freeman has announced his retirement. 

Throughout John’s career, he has been recognized at the highest levels with awards for his teaching, research, and publications. Some of his awards include the Quincy Wright Award for the Best Book in International Relations (1990); Horace T. Morse Award for Outstanding Contributions to Undergraduate Education (1992); Award for Outstanding Contributions to Postbaccalaureate, Graduate, and Professional Education (2008); CLA Dean’s Medal for Excellence in Research (2009); and APSA’s Lifetime Achievement Award (2014). He was inducted into the American Academy of Arts and Sciences in 2009. 

John served the department in many capacities, including as department chair from 1998-2004 and director & instructor of the Math-Statistics Camp for Incoming Graduate Students. 

John’s research areas include political economy, international relations, and methodology. He has published numerous articles in prestigious outlets, as well as books and chapters.

Related News

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May 2024 Newsletter

May 2024 news and highlights from the Department of Political Science.

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Larissa Beckman Named APSA Diversity Fellow

Congratulations to Larissa, a first-year political science PhD student!

Portrait of Professor Timothy Johnson

Brown Revisited: How Supreme Court scholars used A.I. to bring a 70 year old case to life

Professor Timothy Johnson interviewed by KARE 11 about the recreation of Brown v. Board of Education Oral Arguments, a project he helped create.

More Political Science News

  • MyU : For Students, Faculty, and Staff

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Clone of CSE welcomes 25 new faculty in 2023-24

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STEM experts from across the world join the University of Minnesota 

The University of Minnesota College of Science and Engineering (CSE) welcomes 25 faculty members this 2023-24 academic year—on its way to achieving its goal to hire 60 faculty in three years.

The expertise of this new group of CSE researchers and educators is broad. They range in areas such as hybrid intelligence systems, the reconstruction of past environments and climates, electric machines and magnetic levitation, reinforced concrete structures, and mathematical models to predict the electronic properties of novel materials. 

Meet our new science and engineering faculty:

Rene Boiteau

Rene Boiteau is an assistant professor of chemistry.  He joins Minnesota from Oregon State University, where he held a joint faculty appointment in the Pacific Northwest National Laboratory. Boiteau earned a bachelor’s in chemistry at Northwestern University, a master’s in earth sciences at University of Cambridge, and a Ph.D. in chemical oceanography at Massachusetts Institute of Technology and Woods Hole Oceanographic Institution. Much of his work is focused on developing analytical chemical approaches, especially mass spectrometry.

Zhu-Tian Chen

Zhu-Tian Chen is an assistant professor of computer science and engineering.  He received his bachelor’s in software engineering from South China University of Technology and Ph.D. in computer science from Hong Kong University of Science and Technology. Prior to Minnesota, Chen served as a postdoctoral fellow at Harvard University and postdoctoral researcher at the University of California San Diego. His recent work focuses on enhancing human-data and human-AI interactions in both AR/VR environments—with applications in sports, data journalism, education, biomedical, and architecture. 

Gregory "Greg" Handy

Gregory “Greg” Handy  is an assistant professor of mathematics . He comes to Minnesota from the University of Chicago, where he was a postdoctoral scholar in the Departments of Neurobiology and Statistics. As an applied mathematician and theoretical biologist, Handy’s research strives to use biological applications as inspiration to create new mathematical techniques, and to combine these techniques with classical approaches to examine the mechanisms driving biological processes. This fall, he is teaching Math 2142: Elementary Linear Algebra.

Jessica Hoover

Jessica Hoover is a professor of chemistry. She joins the University of Minnesota from West Virginia University, where she has been a faculty member since 2012. Hoover’s interest in catalysis has been the focus of her work since her undergraduate studies. She graduated with a bachelor’s from Harvey Mudd College before arriving at the University of Washington to pursue her Ph.D. She was a postdoctoral researcher at the University of Wisconsin, Madison.

Harman Kaur

Harman Kaur  is an assistant professor of computer science and engineering—and a University of Minnesota alumna  (2016 bachelor’s in computer science). Her research areas are human-centered artificial intelligence, explainability and interpretability, and hybrid intelligence systems. She is affiliated with the GroupLens Research Lab, a group of faculty and students in her department that’s focused on human computing interaction. Prior to Minnesota, Kaur served as a graduate researcher in the interactive Systems Lab and comp.social Lab at the University of Michigan, where she received both her master’s and Ph.D. 

Yulong Lu

Yulong Lu is an assistant professor of mathematics.  He joins the faculty from University of Massachusetts, Amherst. Lu received his Ph.D. in mathematics and statistics at the University of Warwick. His research lies at the intersection of applied and computational mathematics, statistics, and data sciences. His recent work is focused on the mathematical aspects of deep learning. This fall, Lu is teaching Math 2573H: Honors Calculus III to undergraduates and Math 8600: Topics in Applied Mathematics, Theory of Deep Learning to graduate students.

Ben Margalit

Ben Margalit is an assistant professor of physics and astronomy.  As a theoretical astrophysicist, he studies the fundamental physics of star explosions, collisions and other examples of intergalactic violence such as a black hole passing near a galaxy and “shredding it to spaghetti.” As part of his job, Margalit works closely with observational astronomers in selecting the kinds of places to look for transient events. He holds bachelor’s and master’s degrees from the Hebrew University of Jerusalem, and a Ph.D. from Columbia University. 

Maru Sarazola

Maru Sarazola is an assistant professor of mathematics. She joins Minnesota from Johns Hopkins University, where she was a J.J. Sylvester Assistant Professor. Sarazola received her Ph.D. from Cornell University. Her research is focused on algebraic topology—specifically, her interest lies in homotopy theory (a field that studies and classifies objects up to different notions of "sameness") and category theory (“the math of math,” which looks to abstract all structures to study their behavior). This fall, she is teaching Math 5285H: Honors Algebra I. 

Eric Severson

Eric Severson is an associate professor of mechanical engineering—and University of Minnesota alumnus  (2008 bachelor’s and 2015 Ph.D. in electrical engineering). He returns to his alma mater after being on the University of Wisconsin-Madison faculty for six years. Severson leads research in electric machines and magnetic levitation, with a renewed focus in addressing grand challenges in energy and sustainability through multidisciplinary collaborations. His interests include extreme efficiency, bearingless machines, flywheel energy storage, and electric power grid technology.

Kelsey Stoerzinger

Kelsey Stoerzinger is an associate professor of chemical engineering and materials science. She was on the faculty at Oregon State University, with a joint appointment in the Pacific Northwest National Laboratory. She studies the electrochemical transformation of molecules into fuels, chemical feedstocks, and recovered resources. Her research lab designs materials and processes for the storage of renewable electricity. Stoerzinger holds a bachelor’s from Northwestern University, master’s from University of Cambridge, and Ph.D. from MIT.

Lynn Walker

Lynn Walker is a professor—and the L.E. Scriven Chair in the Department of Chemical Engineering and Materials Science.  Previously, she was on the faculty at Carnegie Mellon University. Her research focuses on developing the tools and fundamental understanding necessary to efficiently process soft materials and complex fluids. This expertise is being used to develop systematic approaches to incorporate sustainable feedstocks in consumer products. Walker holds a bachelor’s from the University of New Hampshire and Ph.D. from the University of Delaware. She was a postdoctoral researcher at Katholieke Universiteit Leuven in Belgium.

Alexander "Alex" Watson

Alexander “Alex” Watson  is an assistant professor of mathematics—and former University of Minnesota postdoctoral researcher  in the School of Mathematics. Watson earned his Ph.D. at Columbia University. He works on mathematical models used to predict the electronic properties of materials, especially novel 2D materials such as graphene and twisted multilayer “moiré materials.” In summer 2022 and 2023, he presented at the U’s MathCEP Talented Youth Mathematics Program on topics related to materials research at the University of Minnesota. 

Anna Weigandt

Anna Weigandt is an assistant professor of mathematics. She comes to Minnesota from the Massachusetts Institute of Technology, where she was an instructor. Weigandt completed her Ph.D. at the University of Illinois, and she was a postdoctoral assistant professor in the Center for Inquiry Based Learning at University of Michigan. She works in algebraic combinatorics, specifically Schubert calculus. This fall 2023, she is teaching Math 5705: Enumerative Combinatorics.

Michael Wilking

Michael Wilking is a professor of physics—and University of Minnesota alumnus (2001 bachelor’s in chemical engineering). He holds a master’s and Ph.D. from the University of Colorado. Prior to his return to the Twin Cities campus, Wilking served on the faculty at Stony Brook University. He completed his post-doc at TRIUMF, Canada's national particle accelerator center. Wilking was part of the Stony Brook research team honored with the 2016 Breakthrough Prize in Fundamental Physics.

Benjamin "Ben" Worsfold

Benjamin "Ben" Worsfold is an assistant professor of civil engineering —and a licensed professional engineer in both California and Costa Rica. His research interest lies in large-scale structural testing, finite element analysis of reinforced concrete structures, and anchoring to concrete. Worsfold earned his master’s and Ph.D. from the University of California, Berkeley, and bachelor’s from the University of Costa Rica.     

Yogatheesan Varatharajah

Yogatheesan Varatharajah is an assistant professor of computer science and engineering —and a visiting scientist in neurology at the Mayo Clinic. His research lies broadly in machine learning for health. Varatharajah earned his master’s and Ph.D. from the University of Illinois Urbana-Champaign. Prior to Minnesota, he was a research assistant professor of bioengineering at the University of Illinois and faculty affiliate for the Center for Artificial Intelligence Innovation with the National Center for Supercomputing Applications.

Starting in January 2024:

Emily Beverly

Emily Beverly is an incoming assistant professor of earth sciences. Prior to joining the University of Minnesota, she was on the faculty at University of Houston. She earned a bachelor’s from Trinity University, a master’s from Rutgers University, and a Ph.D. from Baylor University. Beverly was a postdoctoral researcher at Georgia State University and University of Michigan. Her research focuses on understanding environmental drivers of human and hominin evolution. Beverly uses stable isotopes and geochemistry to answer questions about past and future climates with a firm foundation in sedimentary geology and earth surface processes.

Alex Grenning

Alexander “Alex” Grenning is an assistant professor of chemistry.  He comes to Minnesota from the University of Florida, where he was a tenured faculty. Grenning earned a bachelor’s in chemistry and music from Lake Forest College, and a Ph.D. in organic chemistry from the University of Kansas. He was a postdoctoral researcher at Boston University. His work is focused on chemical synthesis and drug discovery.  

Yu Cao

Yu Cao is an incoming professor of electrical and computer engineering. Prior to Minnesota, Cao was a professor at Arizona State University. He holds a bachelor’s in physics from Peking University and a master’s in biophysics plus a Ph.D. in electrical engineering and computer sciences from the University of California-Berkeley. His research includes neural-inspired computing, hardware design for on-chip learning, and reliable integration of nanoelectronics. Cao served as associate editor of the Institute of Electrical and Electronics Engineers’s monthly  Transactions on CAD .

Edgar Pena

Edgar Peña is an incoming assistant professor of biomedical engineering—and a University of Minnesota alumnus (2017 Ph.D. in biomedical engineering). He is a neuromodulation scholar who is interested in vagus nerve stimulation. Peña earned his bachelor’s degrees in electrical engineering and biomedical engineering from the University of California, Irvine. During his doctoral studies at the University of Minnesota Twin Cities, he used computational models to optimize deep brain stimulation.

Seongjin Choi

Seongjin Choi is an incoming assistant professor of civil engineering.  He received his bachelor’s, master’s, and Ph.D. from the Korea Advanced Institute of Science and Technology. He was a postdoctoral researcher at McGill University. His work involves using data analytics to draw valuable insights from urban mobility data and applying cutting-edge AI technologies in the field of transportation.  

Pedram Mortazavi

Pedram Mortazavi is an incoming assistant professor of civil engineering— and a licensed structural engineer in Canada .  His interests lie in structural resilience, steel structures, large-scale testing, development of damping and isolation systems, advanced simulation methods, and hybrid simulation. Mortazavi holds a bachelor’s from the University of Science and Culture in Iran, a master’s from Carleton University in Ottawa, and Ph.D. from the University of Toronto. 

Gang Qiu

Gang Qiu is an incoming assistant professor of electrical and computer engineering. He received his bachelor’s degree from Peking University in microelectronics and his Ph.D. in electrical and computer engineering from Purdue University. (He is currently a postdoctoral researcher at the University of California, Los Angeles.) Qiu’s research focuses on novel low-dimensional materials for advanced electronics and quantum applications. His current interest includes employing topological materials for topological quantum computing. 

Qianwen Wang

Qianwen Wang is an incoming assistant professor of computer science and engineering. She received her bachelor’s from Xi’an Jiao Tong University and her Ph.D. from Hong Kong University of Science and Technology. Prior to Minnesota, Wang served as a post-doctoral researcher at Harvard University in the Department of Biomedical Informatics. As a visualization researcher, she created interactive visualization tools that enable humans to better interpret AI and generate insights from their data.

Katie Zhao

Katie (Yang) Zhao is an incoming assistant professor of electrical and computer engineering. Her research interest resides in the intersection between Domain-Specific Acceleration Chip and Computer Architecture. In particular, her work centers around enabling AI-powered intelligent functionalities on resource-constrained edge devices. Zhao received her bachelor’s and master’s from Fudan University, China, and Ph.D. from Rice University. (She is currently a postdoctoral researcher at Georgia Institute of Technology.)

Learn more about our goal to hire 60 new faculty in three years at the CSE recruiting website .

If you’d like to support faculty research in the University of Minnesota College of Science and Engineering, visit our  CSE Giving website .

Join our winning team

Our unique combination of science and engineering within one college in a vibrant, metropolitan area means more opportunities for you. Learn about faculty openings.

Read more stories:

Find more news and feature stories on the  CSE news page .

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UMN Deepens Partnership at “Sandia Day”

Collage of images depicting technology, and text that reads "75 - Sandia National Laboratories"

Twenty-eight researchers and leaders from Sandia National Labs visited the University of Minnesota on April 10 for “Sandia Day at the UMN” to learn more about UMN’s research and capabilities and to deepen research cooperation.

The University currently has 11 active research projects with Sandia across the fields of ecology, aerospace engineering, and computer engineering, and a Memorandum of Understanding signed in 2021. Through the many connections made during the day and the Sandian representatives’ enthusiastic response to the University, UMN Vice President for Research and Innovation Shashank Priya predicts that the number of partnerships will continue to increase, particularly in the areas of microelectronics, data science, materials, cybersecurity, and climate. The Research and Innovation Office and several colleges are also planning seminars and faculty exchanges with Sandia as part of the ongoing relationship. Sandia also hosted recruiting sessions for interested UMN undergraduate and graduate students.

Presenter at podium refers to projected image, audience members look on

The morning’s activities during “Sandia Day” included lab tours of the Nano Center , the Drone Lab , and the Characterization Facility , where Sandia staff were shown just a taste of UMN’s technical capabilities. In the afternoon, Sandia representatives were introduced to the MIX, Technology Commercialization , and Corporate Engagement Center, and were provided updates on the University’s National Security Research Initiative. An existing successful partnership with Sandia with the Technological Leadership Institute and the Center for Medical Device and Health Care Cybersecurity was also showcased.

people stand in a lab, discussing technology

The main part of the day involved five topical sessions, where Sandia staff and UMN researchers shared their work in the areas of materials science/advanced manufacturing/microelectronics, cybersecurity, aerospace and hypersonics, climate, and AI. These engaging, technical sessions drew deep and sustained interest from the Sandia visitors, who were able to sample the breadth and depth of UMN’s cutting-edge research.

Presenter at podium refers to projected image, audience members look on

Sandia representatives were given a guided campus tour by the University’s enthusiastic student tour guides, a pleasant outing on a sunny, warm April day. Having never had a guided campus tour, some of the UMN team asked for a memorable fact. We learned that the University has more escalators than the entire state of Wyoming! 

Row of seven people stand in a line

UMN researchers interested in learning more about potential partnerships with Sandia National Labs can contact Laura Fingerson, RIO’s chief of staff, at [email protected].    

Minnesota Law

Minnesota Law Students Win the Jeffrey Miller National Environmental Law Moot Court Competition

Three 2024 Minnesota Law graduates capped their law school experience with a first-place finish in a prestigious national moot-court competition.

Maria Pfister ’24 , Poojan Thakrar ’24 , and Hanna Weil ’24 were members of the Minnesota Law team that took away top honors at the Jeffrey G. Miller National Environmental Law Moot Court Competition at Pace University in New York. The team competed against 53 other teams in the largest event of its type in the U.S.

The students agree there were broad benefits from the experience, beyond a boost to their careers.

“This was just so much fun, despite all of the work,” Weil says. “I think I can speak for all of us, and hopefully the coaches, too, when I say we just had a blast working with each other. Winning was just the icing on the cake.”

Rachel Kitze-Collins ’14 , a partner at Lockridge Grindal Nauen PLLP, and Emily Polachek , an assistant U.S. attorney who serves as the environmental crimes coordinator in the Major Crimes Division of the U.S. Attorney’s Minneapolis office, served as coaches for the team. Both have coached Minnesota Law’s Environmental Moot Court competition teams for several years, with notable successes in their last three visits to the National Environmental Law Moot Court Competition.

A Focus on Teamwork

Kitze-Collins points to two primary factors that helped this year’s team excel: excellent preparation and a strong commitment to teamwork.

“I think this team in particular succeeded because they worked extraordinarily well together,” Kitze-Collins says. “They were a unit, they coordinated arguments, and worked outside of class.”

In addition, she says, the team possessed one particular skill that may have made all the difference: the ability to effectively rebut.

“Rebuttal is kind of the key to oral argument because you want to make the strongest final point that you can make,” Kitze-Collins says. “These three would sit at their table and write notes to each other to coordinate their rebuttal on the fly, in the moment. A couple of judges said their rebuttals were the best they’ve heard, so I think that probably sealed the deal.”

The Procedure

As is pro forma in most moot-court competitions, teams are assigned the same fact pattern. In this case, the fictional matter of The Holy Order of Mother Earth v. Federal Energy Regulatory Commission (FERC) involved a dispute over a proposed gas line over land owned by a religious organization.

The Minnesota Law team began working on its legal brief during fall semester and submitted it in November 2023. Although they wrote the mock brief for the U.S. government (FERC), they argued for all three parties—the landowner, the gas company, and FERC—during the competition.

Team members split up responsibilities based on the six issues that the problem represented – two each for each of the three parties. In addition, the teams were charged with addressing several questions, such as whether there was a demonstrated public need for the pipeline, whether the agency had properly considered its environmental impacts, and whether the proposed project was barred by the Religious Freedom Restoration Act.

At the end of the first three rounds, half of the original 54 teams were eliminated. The Minnesota Law team persevered through the quarter- and semi-finals. At that point, Kitze-Collins says, the team’s confidence had grown.

“From our first practice to the final round, it was really stunning,” Weil says. “I remember standing at the podium in the final round, with the judges raised above you so you’re kind of looking up at them, and I remember just feeling shockingly calm, and feeling surprised by feeling calm. I was like, ‘Nobody knows this topic better than I do, and nobody can argue this topic as well as I can.’”

Pfister says the experience built her confidence in public speaking. “Now I know I can deliver an oral argument before a panel of judges,” she says.

Looking to the future

Pfister is still contemplating her first career steps and says she now has a “litigating bug” that may not have been there a few months ago.

Weil has taken a job with a local law firm where she will be doing real-estate work and litigation. “One of my pet interests is renewable energy, specifically wind-energy proliferation, so I’d love to do some legal work in that space,” she says. “Also, I saw myself as more of a transactional lawyer before this experience, but I’m definitely a lot more interested in litigation now.”

Thakrar is heading straight into environmental law this spring as an attorney with FERC. “I’ll be working for the very government agency we pretended to be for those moot court rounds,” he says. Like Weil, he had considered himself more of a transactional lawyer. “I was scared of oral argument,” he says. “But after the moot court experience, I think I actually really like it. So, I think down the road I may focus my career a little bit more on litigation because I’ve shown to myself that I can do well in that environment.”

Kitze-Collins is looking forward to coaching the Minnesota Law Environmental Moot Court team again next year. “The reason I keep coming back is that it is so incredible to see the progress the students make from day one of practice to the final round where they’re going toe to toe with circuit-court federal judges and see their confidence build,” she says. “That is very fulfilling.”

Director of Moot Court programs Prof. Randall Ryder'09, Coach Emily Polachek, Hanna Weil ’24, Maria Pfister ’24, Poojan Thakrar ’24, and Coach Rachel Kitze-Collins ’14

Director of Moot Court programs Prof. Randall Ryder '09, Coach Emily Polachek, Hanna Weil ’24, Maria Pfister ’24, Poojan Thakrar ’24, and Coach Rachel Kitze-Collins ’14 .

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Emily Polachek Adjunct: Moot Court View Profile

Rachel Kitze Collins ’14 Adjunct: Moot Court View Profile

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    The PhD degree in statistics is designed for students who wish to pursue a career in statistics research in academia, government, or industry. The curriculum is designed to provide a strong in-depth and broad training in statistical theory, methodology, computation, and applications. ... [email protected]. 612-625-8046. Make a Gift. Find ...

  2. How to Apply

    Contact Information. Questions about your application should be directed to the office of graduate admissions, which can be reached by email at [email protected] or by phone at 612-625-3014. Further inquiries for the School of Statistics may be directed to [email protected].

  3. Program Statistics

    Graduate Programs In-Depth. Explore in-depth program statistics including admissions rates, demographic data, completion rates and enrollment trends. Data retrieved September 2023. Program Statistics. U-Wide Statistics.

  4. Graduate

    Our graduate students are part of a vibrant, intellectual culture at the University of Minnesota. ... Statistics Courses. How to Apply. Job Placement & Achievements. Funding. ... [email protected]. 612-625-8046. Make a Gift. Find information on ways to give to the School of Statistics

  5. Degrees

    Degrees. The School of Statistics offers world-class training in statistics and data science and offers both master's and PhD degree programs. Graduate students receive a well-rounded education that encompasses deep theoretical understanding, applied statistical methodology, computation expertise, as well as communication skills.

  6. Faculty

    [email protected]: Markov chain Monte Carlo, convergence rates of Markov chains: Adam Rothman Professor Director of Graduate Studies: 367 Ford Hall 612-626-0346 [email protected]: Multivariate analysis and statistical computing in high dimensions: Xiaotong Shen Professor Interim Director of the School of Statistics: 384 Ford Hall 612-624-7098 xshen ...

  7. Statistics

    See what some of our most recent PhD graduates are up to. ... Alumna Efstathia Bura Advances Statistics for the International Statistical Institute. ... [email protected]. 612-625-8046. Make a Gift. Find information on ways to give to the School of Statistics Give

  8. Funding

    Funding. Students who are admitted to the PhD program receive five years of financial support throughout the academic year (fall and spring). Financial support is contingent upon satisfactory progress toward a degree in statistics, as judged by the graduate faculty of the School of Statistics. MS students are not guaranteed any financial support.

  9. Statistics

    Statistics is the science and art of enhancing knowledge in the face of uncertainty with modeling, predictions, and decisions. As a statistics student at UMN Morris, you'll learn the theory and methods of statistics and how to apply that knowledge in solving problems related to medicine, law, technology, finance, business, public policy, the environment, computing, and science in general.

  10. Application Process

    Graduate School. University of Minnesota Duluth. 218-726-7523. 431 Darland Administration Building. Deadlines. Fall semester: Students applying for financial aid should have all application materials submitted on or before February 1st; late applications will be considered if resources are available.

  11. PDF Biostatistics MS and PhD

    DEGREE OPTIONS. The School of Public Health ofers master's (MS) and doctoral (PhD) degrees in Biostatistics. ADVANTAGES OF THE PROGRAM. Highly ranked. Biostatistics at the UMN School of Public Health is ranked #9 in the country by U.S. News and World Report. Supportive environment. With a student-to-faculty ratio of 3:1 (less than 2:1 for PhD ...

  12. Biostatistics PhD

    The PhD student-to-faculty ratio is approximately 1.5:1, one of the lowest of any biostatistics program in the nation. Impact. The Division of Biostatistics & Health Data Science (BHDS) plays a leadership role in many national and international clinical trials, including the first vaccine trial for Ebola and the largest HIV/AIDS treatment trial ...

  13. Admissions

    Admissions Process. The admissions committee reviews applicants on their record of academic achievement, demonstrated academic potential, letters of recommendation, background and experience, and other factors. Most PhD admissions decisions are made in December and January, and students who are admitted may be invited to attend an in-person ...

  14. Graduate programs in data science

    The University of Minnesota's graduate programs in data science provide a strong foundation in big data and its analysis. ... the School of Statistics, the Institute of Health Informatics, and the School of Public Health Division of Biostatistics. ... [email protected]: 324 Lind Hall 207 Church Street SE Minneapolis, MN 55455 (612) 625-4002

  15. Program Details : University Catalogs : University of Minnesota

    The School of Statistics is the primary venue at the University for research, teaching, and dissemination of the theory, methodology, and applications of statistical procedures. Students may specialize in any area of statistics. The core program for all students has strong components of theoretical, computational, and applied statistics.

  16. Math Graduate Program

    Dr. Joe Gallian (Left), Dr. Zhuangyi Liu (Right) and graduate student award winners of the Mathematics & Statistics department scholarship and award banquet. Program Overview. Master of Mathematical Sciences. This is a two-year program that provides a sound academic basis for careers in all areas of mathematics and statistics (including pure math) as well as in the natural, environmental ...

  17. Program Details : University Catalogs : University of Minnesota

    For current information, visit catalogs.umn.edu. , Twin Cities Campus Statistics M.S. Statistics, School of. College of Liberal Arts. Link to a ... Neyman Pearson hypothesis testing theory. Introduction to theory of linear models. prereq: 8101, Statistics graduate major or instr consent. Close STAT 8801 - Statistical Consulting ...

  18. Doctoral Admissions

    Admissions statistics. All Doctoral Applicants for Fall 2024 have received the final admissions decision on their applications. The below is information for the Fall 2025 Doctoral Application. ... If recommenders have difficulty with the application system, they should reach out to the Graduate Program Coordinator ([email protected]) for ...

  19. Statistics for Research Students

    I. Chapter One - Exploring Your Data. II. Chapter Two - Test Statistics, p Values, Confidence Intervals and Effect Sizes. III. Chapter Three- Comparing Two Group Means. IV. Chapter Four - Comparing Associations Between Two Variables. V. Chapter Five- Comparing Associations Between Multiple Variables. VI.

  20. University of Minnesota

    All University of Minnesota graduate programs. These tables show how many students matriculated (enrolled for the term for which they were admitted) for a given academic year. Data is from the University of Minnesota's Peoplesoft student information system, via the data warehouse (dw.umn.edu).

  21. UMN Research Statistics

    UMN Research Statistics. The Vice President for Research and Innovation tracks key research metrics for the University of Minnesota, including national rankings, proposals and awards, sponsored expenditures, and technology commercialization performance measures. Several of these metrics are part of Commitments 2 and 3 in the University's ...

  22. Biostatistics & Health Data Science

    Contact Us. Division of Biostatistics & Health Data Science 2221 University Ave SE, Suite 200 Minneapolis, MN 55414. Phone: 612-624-4655

  23. 2024 MN Cup Semifinalists

    Carlson School of Management 321 Nineteenth Avenue South Minneapolis, MN 55455-0438 612-625-0027 · 877-625-6468 [email protected]

  24. Faculty Retirements

    John served the department in many capacities, including as department chair from 1998-2004 and director & instructor of the Math-Statistics Camp for Incoming Graduate Students. John's research areas include political economy, international relations, and methodology.

  25. Clone of CSE welcomes 25 new faculty in 2023-24

    STEM experts from across the world join the University of Minnesota The University of Minnesota College of Science and Engineering (CSE) welcomes 25 faculty members this 2023-24 academic year—on its way to achieving its goal to hire 60 faculty in three years.The expertise of this new group of CSE researchers and educators is broad. They range in areas such as hybrid intelligence systems, the ...

  26. UMN Deepens Partnership at "Sandia Day"

    Twenty-eight researchers and leaders from Sandia National Labs visited the University of Minnesota on April 10 for "Sandia Day at the UMN" to learn more about UMN's research and capabilities and to deepen research cooperation.. The University currently has 11 active research projects with Sandia across the fields of ecology, aerospace engineering, and computer engineering, and a ...

  27. Minnesota Law Students Win the Jeffrey Miller National Environmental

    Three 2024 Minnesota Law graduates capped their law school experience with a first-place finish in a prestigious national moot-court competition.Maria Pfister '24, Poojan Thakrar '24, and Hanna Weil '24 were members of the Minnesota Law team that took away top honors at the Jeffrey G. Miller National Environmental Law Moot Court Competition at Pace University in New York.