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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.
Course Number | Course Name | Semester hours |
---|---|---|
CS:1210 | Computer Science I: Fundamentals | 4 |
Course Number | Course Name | Semester hours |
---|---|---|
MATH:1850 | Calculus I | 4 |
MATH:1860 | Calculus II | 4 |
MATH:2700 | Introduction to Linear Algebra | 4 |
MATH:2850 | Calculus III | 4 |
Course Number | Course Name | Semester hours |
---|---|---|
STAT:2010 | Statistical Methods and Computing | 3 |
STAT:3100/IGPI:3100 | Introduction to Mathematical Statistics I | 3 |
STAT:3101/IGPI:3101 | Introduction to Mathematical Statistics II | 3 |
DATA:3200/STAT:3200/IGPI:3200/ISE:3760 | Applied Linear Regression | 3 |
STAT:3210 | Experimental Design and Analysis | 3 |
Electives
Students complete 15 s.h. of electives with a maximum of 6 s.h. coming from domain electives.
Course Number | Course Name | Semester hours |
---|---|---|
STAT:1015/DATA:1015 | Introduction to Data Science | 3 |
STAT:3620/CEE:3142/ISE:3600 | Quality Control | 3 |
STAT:4100/IGPI:4100 | Statistical Inference I | 3 |
STAT:4101/IGPI:4101 | Statistical Inference II | 3 |
STAT:4520/IGPI:4522/PSQF:4520 | Bayesian Statistics | 3 |
STAT:4540/DATA:4540/BAIS:4540/IGPI:4540 | Statistical Learning | 3 |
STAT:4580/DATA:4580/IGPI:4580 | Data Visualization and Data Technologies | 3 |
STAT:4750/DATA:4750 | Probabilistic Statistical Learning | 3 |
STAT:5400/DATA:5400/IGPI:5400 | Computing in Statistics | 3 |
STAT:6220/DATA:6220 | Consulting and Communication With Data | 3 |
STAT:6300 | Probability and Stochastic Processes I | 3 |
STAT:6301 | Probability and Stochastic Processes II | 3 |
STAT:6530/IGPI:6530 | Environmental and Spatial Statistics | 3 |
STAT:6550/BIOS:6310/IGPI:6310 | Introductory Longitudinal Data Analysis | 3 |
STAT:6560 | Applied Time Series Analysis | 3 |
ACTS:4150 | Fundamentals of Short-Term Actuarial Mathematics | 3 |
BIOS:5130/IGPI:5130 | Applied Categorical Data Analysis | 3 |
DATA:4600/STAT:4600 | Causal Inference for Data Science | 3 |
DATA:4610 | Data Acquisition and Management | 3 |
DATA:4620 | Text Data Analysis | 3 |
Up to two courses from these domain electives: | ||
STAT:5120 | Mathematical Methods for Statistics | 3 |
ACTS:3080 | Mathematics of Finance I | 3 |
ACTS:4130 | Quantitative Methods for Actuaries | 3 |
CS:2210 | Discrete Structures | 3 |
CS:2230 | Computer Science II: Data Structures | 4 |
MATH:3770 | Foundations of Analysis | 4 |
MATH:3800/CS:3700 | Introduction to Numerical Methods | 3 |
MATH:4820/CS:4720 | Optimization Techniques | 3 |
MATH:4840 | Mathematics of Machine Learning | 3 |
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.
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