Statistics
Department Office: 101 Illini Hall, 725 South Wright St., Champaign, IL 61820 (217) 333-2167
Statistics and Computer Science
This major is sponsored jointly by the Departments of Statistics and Computer Science. The Statistics and Computer Science major is designed for students who would like a strong foundation in computer science, coupled with significant advanced coursework in statistics. The major prepares students for professional or graduate work in statistics and computer science, and for applications of computing in which knowledge of statistics is particularly important, such as data mining and machine learning. See also Computer Science, Mathematics, Mathematics and Computer Science, and Statistics.
Major in Sciences and Letters Curriculum
E-mail: stat-office@illinois.edu or academic@cs.illinois.edu
Degree title: Bachelor of Science in Liberal Arts and Sciences
Minimum required major and supporting course work normally equates
to 72-73 hours
General education: Students must complete the Campus
General Education requirements.
Minimum hours required for graduation: 120 hours
Departmental distinction: To graduate with distinction requires a
specified minimum grade point average in all Computer Science, Statistics,
and Mathematics courses listed below. A GPA of 3.25 is required for
Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction.
Hours | Requirements |
---|---|
11-12 | Calculus through MATH 241 - Calculus III |
3 | MATH 415 - Applied Linear Algebra |
30 | Required Computer Science Courses: |
CS 125 - Intro to Computer Science |
|
CS 173 - Discrete Structures |
|
CS 225 - Data Structures |
|
CS 231 - Computer Architecture I |
|
CS 232 - Computer Architecture II |
|
CS 241 - System Programming |
|
CS 242 - Programming Studio |
|
CS 357 - Numerical Methods I |
|
CS 373 - Theory of Computation |
|
10 | Required Statistics courses: |
STAT 400 - Statistics and Probability I |
|
STAT 410 - Statistics and Probability II |
|
STAT 428 - Statistical Computing |
|
18 | Other Specified Requirements. At least six other statistics, computer science, and mathematics courses, with at least one chosen from each of the following groups: |
Group I: Applied Statistics | |
STAT 200 - Statistical Analysis or a 300 or 400-level statistics course, with STAT 426 recommended1 |
|
Group II: Analysis and Differential Equations | |
MATH 347 - Fundamental Mathematics |
|
MATH 441 - Differential Equations |
|
MATH 444 - Elementary Real Analysis |
|
MATH 447 - Real Variables |
|
Group III: Foundations | |
CS 473 - Algorithms |
|
CS 475 - Formal Models of Computation |
|
Group IV: Software | |
CS 421 - Programming Lang and Compilers |
|
CS 423 - Operating Systems Design |
|
Group V: Application software | |
CS 411 - Database Systems |
|
CS 418 - Computer Graphics |
|
CS 446 - Machine Learning & Pattern Rec |
|
Group VI: Linear Regression Analysis | |
STAT 420 - Methods of Applied Statistics |
|
STAT 424 - Analysis of Variance |
|
STAT 425 - Applied Regression and Design |
1. STAT 200 should be taken during the first 60 hours of course work (to provide the student with an early introduction to statistical concepts). The latter option of a 300 or 400-level statistics course is designed for students who wish to take STAT 400 before the junior year.
Twelve hours of 300 and 400-level courses must be taken on this campus.
All foreign language requirements must be satisfied.