Undergraduate Program

Statistics & Data Analytics

Student looking at data on screen
Learn how to use data to solve problems in a complex world. This degree program offers you the opportunity to formulate an answerable question, develop methodology for data analysis, collect data appropriately, extract evidence and use statistical reasoning to transform that evidence into information that can be used by stakeholders. Prepare to adapt to an ever-evolving data landscape and use your knowledge to construct solutions to challenges.

The Nebraska Difference


Major-Specific Courses from Day One

Real-World Collaboration


Integration of statistics skills with computing

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Program Features

Sequenced Courses to Build Knowledge

You will be introduced to data exploration methods during your first semester. Courses are carefully sequenced to build knowledge over the degree program. 

Professional Development 

Take courses specifically geared toward career preparation, including statistical collaboration, writing, presentation and code documentation. You will have the opportunity to further your development as a collaborator through a capstone in which you will work with consulting clients. 

Modern Coding Skills and Adaptability to New Technology

Computation is a fundamental component of data analytics, and computing is fully integrated into the statistical methods courses from the first semester. You will learn both R and Python and develop the critical thinking skills you need to adapt to innovations in technology post-graduation.

Student showing professor research data

Notable Courses

Principles of Statistical Analysis (STAT 102)

Introduction to formal statistical inference and elementary probability for statistics majors that explores the practical application of statistical techniques to meaningful scientific problems.

Principles of Study Design (STAT 212)

Introduction to statistical aspects of study design covering both designed experiments and observational studies.

Statistical Computing I: Data Wrangling (STAT 251)

Techniques for processing, cleaning and visualizing messy data. Topics include data reduction strategies, data transformations, combining multiple data sources and special types of data.

Statistical Collaboration I (STAT 325)

Introduction to the role and purpose of statistical consulting and interdisciplinary collaboration. Work in teams and determine solutions to answer the client's research question.

Technical Skills for Statisticians (STAT 349)

Creation of research reports, business reports and executive summaries with a focus on real-world applications in research, business and public service.

Model Selection and Prediction (STAT 464

Methods for selecting models applicable to real-world problems. Prediction as a modeling goal, models for prediction as opposed to inference.

Huskers Do Big Things


  • Data analyst intern, Hudl
  • Business analyst intern, Sandhills Global
  • Data analytics intern, Spreetail
  • Informatics internship


  • Data analyst
  • Business analyst
  • Underwriting
  • Statistician

Graduate Schools

  • North Carolina State
  • Penn State University
  • University of Nebraska–Lincoln
  • University of North Texas

Academics & Experiential Learning

  • Many courses are project-based, allowing you to personalize your data analysis experiences.
  • All degree program capstones incorporate experiential learning, such as working with clients, developing and releasing statistical software packages or engaging in case studies.

Career Preparedness

  • Take courses designed to develop your statistical collaboration skills.
  • Your curriculum will include integration of career skills, such as writing and presentation, starting the first semester.


  • Discover your academic community and explore your interests by joining a student organization.
  • Conduct undergraduate research with expert faculty through the Undergraduate Creative Activities and Research Experience (UCARE) program.

Have Questions? We're Here to Help

If you have questions about the Statistics & Data Analytics major or navigating the application process, contact us.

Sue Ellen Pegg portrait
Contact Name
Sue Ellen Pegg
Contact Title
College Relations Director