Earn your BS in Statistics

The undergraduate program in statistics provides students with fundamental knowledge and skills related to probability, mathematical statistics, data analysis, and statistical computing. With the recent rise of big data, data science, and analytics, the demand for this set of skills has increased substantially. A BS in statistics is very flexible and can lead to a career in business, industry, or government.

All statistics majors complete 10 core courses that provide essential instruction in statistical methods, applications, and theory. In addition, they may concentrate on an interest area by selecting appropriate elective courses. 

Requirements and program planning

The statistics program prepares students for careers in a wide variety of fields. With the rise of data science and analytics, the number of undergraduate students choosing to expand their knowledge base and skill set in the area of statistics has grown substantially. The statistics program is structured to provide students with a conceptual understanding of elementary probability and mathematical statistics, skills in data analysis and interpretation, the ability to communicate effectively both orally and in writing, and a proficiency in statistical computing.

Learning outcomes

Students will:

  • Be able to distinguish between observational studies and designed experiments and understand the issues related to the data collection method, including sampling bias, sampling error, sample size determination, statistical power, association versus causation, and the design and analysis of randomized experiments;
  • Use critical thinking skills to translate substantive questions into well-defined statistical problems and choose appropriate statistical methods and graphical summaries for a given problem;
  • Use computer software to manage data, carry out exploratory data analyses and computer simulations, produce numerical and graphical summaries of data, and apply basic statistical methodology;
  • Be able to clearly communicate study results to non-statisticians, and write accurate and meaningful reports that describe the statistical analyses and summarize important findings; and
  • Understand the mathematical tools underlying statistical methods, including distribution theory, uncertainty quantification via probability, estimation theory, and the probabilistic basis of formal statistical inference.

The Bachelor of Science with a major in statistics requires a minimum of 120 semester hours, including at least 47 semester hours of work for the major. Students must maintain a grade-point average (GPA) of at least 2.00 in all courses for the major and in all UI courses for the major. They also must complete the College of Liberal Arts and Sciences GE CLAS Core.

Students who earn the major in statistics may not earn the major in data science.

Students complete 10 core courses that provide essential instruction in statistical methods, applications, and theory. In addition, they may concentrate on an interest area by selecting appropriate elective courses.

Core courses

All students complete the following 10 core courses.

Computer Science Course
Course NumberCourse NameSemester hours
CS:1210Computer Science I: Fundamentals4
Mathematics Courses
Course NumberCourse NameSemester hours
MATH:1850Calculus I4
MATH:1860Calculus II4
MATH:2700Introduction to Linear Algebra4
MATH:2850Calculus III4
Statistics Courses
Course NumberCourse NameSemester hours
STAT:2010Statistical Methods and Computing3
STAT:3100/IGPI:3100Introduction to Mathematical Statistics I3
STAT:3101/IGPI:3101Introduction to Mathematical Statistics II3
DATA:3200/STAT:3200/IGPI:3200/ISE:3760Applied Linear Regression3
STAT:3210Experimental Design and Analysis3

 

Electives

Students complete 15 s.h. of electives with a maximum of 6 s.h. coming from domain electives.

ELECTIVES
Course NumberCourse NameSemester hours
STAT:1015/DATA:1015Introduction to Data Science3
STAT:3620/CEE:3142/ISE:3600Quality Control3
STAT:4100/IGPI:4100Statistical Inference I3
STAT:4101/IGPI:4101Statistical Inference II3
STAT:4520/IGPI:4522/PSQF:4520Bayesian Statistics3
STAT:4540/DATA:4540/BAIS:4540/IGPI:4540Statistical Learning3

STAT:4580/DATA:4580/IGPI:4580

Data Visualization and Data Technologies3
STAT:4750/DATA:4750Probabilistic Statistical Learning3
STAT:5400/DATA:5400/IGPI:5400Computing in Statistics3
STAT:6220/DATA:6220Consulting and Communication With Data3
STAT:6300Probability and Stochastic Processes I3
STAT:6301Probability and Stochastic Processes II3
STAT:6530/IGPI:6530Environmental and Spatial Statistics3
STAT:6550/BIOS:6310/IGPI:6310Introductory Longitudinal Data Analysis3
STAT:6560Applied Time Series Analysis3
ACTS:4150Fundamentals of Short-Term Actuarial Mathematics3
BIOS:5130/IGPI:5130Applied Categorical Data Analysis3
DATA:4600/STAT:4600Causal Inference for Data Science3
DATA:4610Data Acquisition and Management3
DATA:4620Text Data Analysis3
Up to two courses from these domain electives:  
STAT:5120Mathematical Methods for Statistics3
ACTS:3080Mathematics of Finance I3
ACTS:4130Quantitative Methods for Actuaries3
CS:2210Discrete Structures3
CS:2230Computer Science II: Data Structures4
MATH:3770Foundations of Analysis4
MATH:3800/CS:3700Introduction to Numerical Methods3
MATH:4820/CS:4720Optimization Techniques3
MATH:4840Mathematics of Machine Learning3

 

Four-year graduation plan

The following checkpoints list the minimum requirements students must complete by certain semesters in order to stay on the university's four-year graduation plan. Courses in the major are those required to complete the major; they may be offered by departments other than the major department.

Much of the course work in statistics is sequential, so students must begin requirements for the major as soon as possible. Individual study plans must be made carefully. Students who first enroll for a spring semester must consult their advisor to confirm a four-year plan.

Courses must be taken in sequence, so students must begin work early.

Before the fifth semester begins at least four courses in the major, including:

  • MATH:1850 Calculus I
  • MATH:1860 Calculus II
  • STAT:2010 Statistical Methods and Computing 

Before the seventh semester begins, seven or eight courses in the major and at least 90 semester hours earned toward the degree.

Before the eighth semester begins, nine or ten courses in the major must be earned.

During the eighth semester, enrollment in all remaining course work in the major, all remaining GE CLAS Core courses, and a sufficient number of semester hours to graduate must be completed.

Create your academic path

You'll find degree overviews, requirements, course lists, academic plans, and more to help you plan your education and explore your possibilities.

Current course list

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Questions?

Sanvesh Srivastava

Sanvesh Srivastava

Title/Position
Associate Professor
Director of Undergraduate Studies, Data Science and Statistics