Statistics & Computer Science, BSLAS

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science

statistics website: Statistics & Computer Science

computer science degree information: Statistics & Computer Science

overview of college admissions & requirements: Liberal Arts & Sciences

college websites: https://las.illinois.edu/ and https://engineering.illinois.edu


statistics email: stat-office@illinois.edu

computer science email: undergrad@cs.illinois.edu or 

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.

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science

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.

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 68-69 hours. At least 12 hours of 300- and 400-level courses must be taken on this campus.


Minimum hours required for graduation: 120 hours

CS 100Freshman Orientation (recommended)0-1
Calculus through MATH 241 - Calculus III 11-12
MATH 415Applied Linear Algebra3
Required Computer Science Foudation:32
CS 125
Intro to Computer Science
CS 173
Discrete Structures
CS 126
Software Design Studio
CS 225
Data Structures
CS 233
Computer Architecture
CS 241
System Programming
CS 357
Numerical Methods I
CS 374
Introduction to Algorithms & Models of Computation
CS 421
Programming Languages & Compilers
Required Probability and Statistics Foundation:10
STAT 400
Statistics and Probability I 1
STAT 410
Statistics and Probability II
STAT 428
Statistical Computing
At least four other statistics, computer science, or mathematics courses, with at least one chosen from each of the following groups:12
Group I: Statistical Methods
STAT 200
Statistical Analysis
STAT 212
Biostatistics
CS 361
Probability & Statistics for Computer Science
Group II: Mathematical Analysis and Modeling
MATH 347
Fundamental Mathematics
MATH 441
Differential Equations
MATH 444
Elementary Real Analysis
MATH 447
Real Variables
Group III: Computational Application Areas
STAT 385
Statistics Programming Methods
CS 410
Text Information Systems
CS 411
Database Systems
CS 412
Introduction to Data Mining
CS 446
Machine Learning
CS 481
Advanced Topics in Stochastic Processes & Applications
CS 482
Simulation
Group IV: Statistical Analysis and Modeling
STAT 420
Methods of Applied Statistics
STAT 425
Applied Regression and Design
STAT 426
Sampling and Categorical Data
STAT 448
Advanced Data Analysis