University of Illinois Urbana-Champaign Campus
Bachelor of Science
On Campus
University of Illinois Urbana-Champaign Logo
University of Illinois Urbana-Champaign
Champaign
United States

Statistics

About

The Bachelor of Science (BS) in Statistics at the University of Illinois Urbana-Champaign provides a rigorous 4-year program that equips students with the skills to analyze, interpret, and apply data in a variety of fields. Statistics is a critical tool in industries ranging from healthcare and finance to technology and public policy, and this program prepares students to meet the growing demand for statistical expertise. Students will develop strong foundations in probability theory, statistical inference, and data analysis, as well as gain experience with advanced computational tools and statistical software to analyze large, complex datasets.

The curriculum blends theoretical coursework with practical applications, ensuring that students can design experiments, conduct analyses, and make data-driven decisions. Through hands-on learning experiences, students will also be exposed to specialized areas such as biostatistics, econometrics, machine learning, and data visualization. Graduates of the program will be well-prepared to enter the workforce as data analysts, statisticians, and research scientists, or pursue advanced degrees in statistics, data science, or related fields.

Key information

Duration
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Tuition fee
$38,398.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Statistics
  • Degree Type: Bachelor of Science
  • Duration: 4 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 05 January 2026
  • Location: University of Illinois Urbana-Champaign, United States
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Year 1 – Foundations of Statistics and Mathematics
• Introduction to Statistics
• Calculus I & II
• Introduction to Probability
• Linear Algebra
• Computer Programming for Data Analysis

Year 2 – Core Statistical Methods and Theory
• Intermediate Statistics: Inference and Estimation
• Probability Theory
• Statistical Computing and Data Analysis
• Applied Regression Analysis
• Mathematical Statistics

Year 3 – Advanced Statistical Techniques and Applications
• Multivariate Statistics
• Time Series Analysis
• Bayesian Statistics
• Design of Experiments
• Machine Learning and Predictive Modeling

Year 4 – Capstone Project and Specialized Topics
• Advanced Topics in Statistical Inference
• Statistical Consulting and Practice
• Capstone Project or Internship in Statistics
• Data Visualization and Communication
• Career Preparation and Graduate School Planning

Career Opportunities

Graduates of the BS in Statistics program are highly sought after in industries that rely on data-driven decision-making. Many find employment as statisticians, data analysts, biostatisticians, quantitative analysts, or research associates in sectors such as healthcare, finance, technology, marketing, and government. They may also work in academia or research organizations, helping to design experiments and analyze data across a variety of disciplines. With the rapid growth of fields like data science and machine learning, statistics graduates are well-equipped for roles in artificial intelligence, big data analytics, data engineering, and predictive modeling. Additionally, the program provides an excellent foundation for pursuing advanced studies in statistics, data science, econometrics, or biostatistics.

Why Choose This Program

This program is ideal for students who are passionate about data analysis, problem-solving, and statistical modeling. The BS in Statistics offers a comprehensive education in both the theoretical and applied aspects of statistics, ensuring that students are well-prepared for real-world challenges. Students will benefit from hands-on experience in statistical computing, advanced coursework in statistical methods, and opportunities for internships and research projects that allow them to apply their skills in practical settings. By the end of the program, graduates will have the analytical and computational skills needed to work in a variety of industries, using data to solve complex problems and drive decision-making. Whether pursuing careers in data science, healthcare analytics, or financial modeling, students will be equipped to make a significant impact in the field of statistics.

Contact Information

For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States