Statistics, BS

Earn two degrees in five years

Earn your bachelor's and master's degrees in statistics in just five years. Choose any of UA's three Statistics B.S. pathways and count nine graduate credits toward both degrees, saving time and money while advancing your expertise.

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Program Details

Location
Akron Campus
Level
undergraduate
Academic Pathway
major
Degree/Program Type
Bachelor of Science
Format
In-person
Course Info
Curriculum Guide
College
Buchtel College of Arts & Sciences (BCAS)
School/Department
Department of Statistics

Program Contact

Dr. Nao Mimoto

Interim Chair / Associate Professor / Actuarial Science Program Coordinator / Undergraduate & Graduate Academic Advisor

330.972.8011 Send an Email

Overview

Statistics is about more than numbers. It is about using data to understand problems, identify patterns and make informed decisions.

The B.S. in Statistics at The University of Akron builds a strong foundation in statistical theory, data analysis, computing and applied problem-solving. You'll gain hands-on experience with real data and learn to use industry-standard software and programming tools to solve complex problems in a variety of settings. 

From regression to machine learning and statistical consulting, your skills can be applied across fields including business, industry, government, health and medical research, or provide a foundation for graduate study in statistics and related disciplines.

What You'll Learn

  • Applications of the techniques of regression and multifactor analysis of variance
  • Introductory programming for data-intensive applications including data collection, analysis, visualization
  • Data organization and structures, design of statistical data bases, statistical software analysis, importing and exporting data between software

Admissions Requirements

Students must meet the general admission requirements of The University of Akron.

Career Outcomes

A degree in statistics opens the door to one of today’s most in-demand career paths. Graduates of the B.S. in Statistics program are prepared to step into these opportunities with confidence. Through a blend of theoretical coursework, modern software training, and real-world problem-solving experience, students learn how to turn data into actionable insights that help organizations forecast trends, plan strategically, and solve real-world problems. Whether entering the workforce or pursuing graduate study, our students leave equipped to lead in a data-driven world.

Additional Program Information

Required Courses

General Education Requirements
Statistics Core
Analytic Geometric-Calculus I/II/III, Programming for Data Science or Computer Science I, Theoretical Statistics I/II, Applied Statistics or Introductory Statistics I/II, Applied Regression and ANOVA, Statistical Data Management, Statistical Consulting
Statistics Electives

Build skills to make sense of data

Develop the statistical, computing and problem-solving skills to work with complex data, uncover meaningful patterns and apply what you learn to real-world questions.

Statistics student stands beside a research poster presenting an analysis of Akron air quality data.
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STATISTICAL METHODS

Analyze complex data

Build a strong foundation in statistical methods, including regression and multifactor analysis of variance. Learn to analyze data, identify relationships and use statistical evidence to better understand complex questions.

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HANDS-ON EXPERIENCE

Put statistics to work

Apply statistical theories and concepts to real-world problems through UA's Center for Statistical Consulting. You can also explore opportunities through the DATA+ Institute, which connects data, analytics, AI and emerging technologies with hands-on learning, research and collaboration.

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COMPUTING + DATA

Work confidently with data

Develop programming skills for data-intensive applications, including data collection, analysis and visualization. Learn how to organize and manage data, use statistical software and move data between software tools.

Where can a Statistics B.S. take you?

A background in statistics can lead to careers that use data to solve problems, identify trends, assess risk and inform decisions across a variety of industries.

What They Do

Create programs and algorithms that enable machines to take actions without being directed. Provide computers with the ability to learn automatically and improve from experience, without being programmed. 

What They Do

Identify and analyze the areas of potential risk threatening the assets, earning capacity or success of organizations in the industrial, commercial or public sector. Predict change and future trends, as well as forecast cost to organizations. 

What They Do

Use mathematical methods to help organizations develop better systems and operational procedures. Examine an organization's operations and use mathematical modelling, simulation, optimization, data science and other analytical approaches to find more effective ways of working. The organization is then able to use the information to develop a strategic policy and make better decisions.

What They Do

Design and manage experiments and surveys and deal with the initial collection of data. Process and analyze the data in context, looking for patterns to help make decisions, then advise on findings and recommend strategy.

Experience statistics beyond the classroom

Connect with other students, get involved and see how Akron graduates are putting their degrees to work.

RooStats club members paint the rock as an Akron tradition
STUDENT CONNECTION

Find your community with RooStats

Connect with fellow students through RooStats, UA's Statistics Club. Get involved with a student organization centered around a shared interest in statistics and data.

Why study statistics?

Hear from an Akron Statistics student about what drew him to the field and how he sees statistics connecting data, problem-solving and decision-making.

STUDENT PERSPECTIVE

Be the person who explains what the numbers mean

Statistics student Bo Barrel was drawn to the field because of its flexibility and broad applications. For him, studying statistics meant learning how to work with data and, just as importantly, explain what the numbers mean so others can use that information to make decisions.