Statistics, BSLAS
for the degree of Bachelor of Science in Liberal Arts & Sciences in Statistics
Statistics is the science of modeling, summarizing, and analyzing data, and of using mathematics and computing tools to make predictions and decisions in the face of uncertainty. Statistical ideas are applicable in any area involving quantitative measurement and in almost every area of scholarly pursuit. The major, administered by the Department of Statistics, is designed to provide students with an understanding of the concepts of statistical inference and a familiarity with the methods of applied statistical analysis. A major in statistics will prepare students for a career in business, industry, or government, and for further graduate study in statistics or in a related area.
Undergraduate degree programs in Statistics
for the degree of Bachelor of Science in Liberal Arts & Sciences in Statistics
Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Statistics, Mathematics, and Computer Science courses required for completion of the degree as listed below. A Major GPA of 3.90 is required for Distinction, and a Major GPA of 3.95 for High Distinction.
General education: Students must complete the Campus General Education requirements including the campus general education language requirement.
Minimum required major and supporting course work: Normally equates to 70-72 hours. Twelve hours of 300- and 400-level in the major must be taken on this campus.
Minimum hours required for graduation: 120 hours.
Graduation Requirements
Minimum hours required for graduation: 120 hours.
University Requirements
Minimum of 40 hours of upper-division coursework, generally at the 300- or 400-level. These hours can be drawn from all elements of the degree. Students should consult their academic advisor for additional guidance in fulfilling this requirement.
The university and residency requirements can be found in the Student Code (§ 3-801) and in the Academic Catalog.
General Education Requirements
Follows the campus General Education (Gen Ed) requirements. Some Gen Ed requirements may be met by courses required and/or electives in the program.
| Code | Title | Hours |
|---|---|---|
| Composition I | 4-6 | |
| Advanced Composition | 3 | |
| Humanities & the Arts (6 hours) | 6 | |
| Natural Sciences & Technology (6 hours) | 6 | |
| Social & Behavioral Sciences (6 hours) | 6 | |
| Cultural Studies: Non-Western Cultures (1 course) | 3 | |
| Cultural Studies: US Minority Cultures (1 course) | 3 | |
| Cultural Studies: Western/Comparative Cultures (1 course) | 3 | |
| Quantitative Reasoning (2 courses, at least one course must be Quantitative Reasoning I) | 6-10 | |
| Language Requirement (Completion of the fourth semester or equivalent of a language other than English, or completion of the third semester in two different languages other than English is required) | 0-20 | |
| Code | Title | Hours |
|---|---|---|
| Introductory and Preparatory Coursework (17-19 hours) | ||
| Calculus through MATH 241 - Calculus III | 11-12 | |
| Select one from the following: | 3-4 | |
| Data Science Discovery | ||
| Statistical Analysis | ||
| Biostatistics | ||
| Select one from the following: | 3 | |
| Linear Algebra with Computational Applications | ||
| Applied Linear Algebra | ||
| Abstract Linear Algebra | ||
| Statistical Core Coursework (13 hours) | ||
| STAT 400 | Statistics and Probability I | 4 |
| STAT 410 | Statistics and Probability II | 3 |
| STAT 425 | Statistical Modeling I | 3 |
| STAT 426 | Statistical Modeling II | 3 |
| Advanced Statistics Electives (12 hours) | ||
| Select four of the following: | 12 | |
| Statistics Programming Methods | ||
| Design of Experiments | ||
| Statistical Consulting | ||
| Statistical Computing | ||
| Time Series Analysis | ||
| Topics in Applied Statistics | ||
| Applied Bayesian Analysis | ||
| Basics of Statistical Learning | ||
| Stochastic Processes | ||
| Survival Analysis | ||
| Statistical Data Management | ||
| Professional Statistics | ||
| Data Science Programming Methods | ||
| Advanced Data Analysis | ||
| Big Data Analytics | ||
| Elementary Real Analysis | ||
or MATH 447 | Real Variables | |
| Total Hours | 42-44 | |
for the degree of Bachelor of Science in Liberal Arts & Sciences in Statistics
Sample Sequence
This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.
Students must fulfill their Language Other Than English requirement by successfully completing a fourth level of a language other than English. See the corresponding section on the Degree and General Education Requirements page.
| Requirements | Hours |
|---|---|
| Free Elective course | 1 |
| STAT 107 - Data Science Discovery, STAT 200 - Statistical Analysis, or STAT 212 - Biostatistics | 3 |
| MATH 220 - Calculus or MATH 221 - Calculus I | 4 |
| Language Other Than English (3rd level) | 4 |
| Composition I or General Education course | 4 |
| Semester Hours | 16 |
| Requirements | Hours |
|---|---|
| MATH 231 - Calculus II | 3 |
| STAT 385 - Statistics Programming Methods | 3 |
| Language Other Than English (4th level) | 4 |
| General Education course or Composition I | 3 |
| Free Elective course | 3 |
| Semester Hours | 16 |
| Requirements | Hours |
|---|---|
| MATH 241 - Calculus III | 4 |
| STAT 400 - Statistics and Probability I | 4 |
| General Education course | 3 |
| General Education course | 3 |
| Free Elective course | 2 |
| Semester Hours | 16 |
| Requirements | Hours |
|---|---|
| MATH 257 - Linear Algebra with Computational Applications, MATH 415 - Applied Linear Algebra, or MATH 416 - Abstract Linear Algebra | 3 |
| STAT 410 - Statistics and Probability II | 3 |
| General Education course | 3 |
| General Education course | 3 |
| Free Elective course | 3 |
| Semester Hours | 15 |
| Requirements | Hours |
|---|---|
| STAT 425 - Statistical Modeling I | 3 |
| Advanced Statistics Elective course | 3 |
| General Education course | 3 |
| General Education course | 3 |
| Free Elective course | 3 |
| Semester Hours | 15 |
| Requirements | Hours |
|---|---|
| STAT 426 - Statistical Modeling II | 3 |
| Advanced Statistics Elective course | 3 |
| General Education course | 3 |
| Free Elective course | 3 |
| Free Elective course | 3 |
| Semester Hours | 15 |
| Requirements | Hours |
|---|---|
| Advanced Statistics Elective course | 3 |
| General Education course | 3 |
| Free Elective course | 3 |
| Free Elective course | 3 |
| Free Elective course | 3 |
| Semester Hours | 15 |
| Requirements | Hours |
|---|---|
| General Education course | 3 |
| Free Elective course | 3 |
| Free Elective course | 3 |
| Free Elective course | 3 |
| Semester Hours | 12 |
Total Hours: 120
for the degree of Bachelor of Science in Liberal Arts & Sciences in Statistics
Statistics students will:
- Understand the foundational theory of statistics and probability by leveraging mathematical thinking and skills.
- Apply statistical reasoning and models to draw valid conclusions and inferences from data.
- Competently use statistical software and code for the purpose of managing databases, creating visualizations, and conducting statistical analyses.
- Effectively summarize and present the results of a statistical analysis in written and oral communication to a range of audiences.
- Skillfully use modern methods of statistical computing, statistical learning, data science, and artificial intelligence.
- Collaborate effectively with others in a group work environment.
for the degree of Bachelor of Science in Liberal Arts & Sciences in Statistics
Department of Statistics
- Statistics Undergraduate Advising
- Statistics email: stat-undergrad@illinois.edu
- Department of Statistics website
- Department of Statistics faculty