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Division of Statistics

GAs

Division of Statistics

Barbara Gonzalez

Bárbara González, Director

Welcome to the Division of Statistics at Northern Illinois University (NIU). On our website, you will find information about our division, including our dedicated faculty and staff and our excellent graduate and undergraduate academic programs in statistics and actuarial science. Additionally, you will find valuable student resources and information about statistical consulting services we provide to NIU administrators, faculty, and graduate students, as well as to outside clients.

Why Statistics?


Statistical and actuarial careers are rated among the top jobs in today's market. In fact, U.S. News rates "Statistician" as the #1 business job and "Actuary" as the #6 business job of 2019.

Statisticians and actuaries work on a variety of projects in diverse environments. The skills they learn are commonly transferable across many industries and governmental units.

Learn more about careers and job trends in statistics and actuarial science on our website.

Did You Know?


Great Value Colleges

Northern Illinois University has been identified as one of the Great Value Colleges for statistics in our recent ranking (Northern Illinois University is ranked as #48).

Recent News


Statistics Tutoring


Free tutoring is available for NIU students enrolled in STAT 208, 301, or 350. Simply visit the Statistics Assistance Center (SAC), located in DuSable Hall 326, during available tutoring hours.

Upcoming Colloquia


  • Friday, April 26, 2:00 - 3:00 p.m.
    Christopher Wikle (University of Missouri)
    "Data in Motion - How Sports Analytics Are Changing the Game"
  • Friday, April 26, 4:00 - 5:00 p.m.
    Christopher Wikle (University of Missouri)
    "A Parsimonious 'Deep' Approach for Efficient Implementation of Multiscale Spatio-Temporal Statistical Models Applied to Long-Lead Forecasting"
  • Friday, May 3, 2:30 - 3:30 p.m.
    Guobin Fang (AUFE)
    "The FFBS Estimation of High-Dimensional Panel Data Factor Stochastic Volatility Models"