# 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

**statistics advising:** department advising information

**computer science advising:** department advising information

**overview of college admissions & requirements:** Liberal Arts & Sciences

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

**statistics email:** stat-advising@illinois.edu

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

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.

**Undergraduate degree programs in Statistics**

*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.

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 68-72 hours. At least 12 hours of 300- and 400-level courses must be taken on this campus.

**Minimum hours required for graduation: **120 hours

Code | Title | Hours |
---|---|---|

CS 100 | Freshman Orientation (recommended) | 1 |

Mathematical Foundation | ||

Calculus through MATH 241: Calculus III | 11-12 | |

MATH 257 | Linear Algebra with Computational Applications | 3 |

or MATH 415 | Applied Linear Algebra | |

Computer Science Foundation | ||

CS 124 | Introduction to Computer Science I | 3 |

CS 128 | Introduction to Computer Science II | 3 |

CS 173 | Discrete Structures | 3 |

CS 222 | Software Design Lab | 1 |

CS 225 | Data Structures | 4 |

Choose one of the following combinations: | 8-11 | |

Computer Architecture and System Programming | ||

OR | ||

Introduction to Computer Systems | ||

CS 357 | Numerical Methods I | 3 |

CS 374 | Introduction to Algorithms & Models of Computation | 4 |

CS 421 | Programming Languages & Compilers | 3 |

Probability and Statistics Foundation | ||

Choose one of the following: | 3-4 | |

Data Science Discovery | ||

Statistical Analysis | ||

Biostatistics | ||

STAT 400 | Statistics and Probability I | 4 |

STAT 410 | Statistics and Probability II | 3 or 4 |

STAT 425 | Statistical Modeling I | 3 or 4 |

STAT 426 | Statistical Modeling II | 3 or 4 |

Statistical Application Electives -Choose one of the following: | 3 | |

Statistical Computing | ||

Applied Bayesian Analysis | ||

Basics of Statistical Learning | ||

Survival Analysis | ||

Advanced Data Analysis | ||

Computational Application Elective - Choose one of the following: | 3 | |

Text Information Systems | ||

Database Systems | ||

Introduction to Data Mining | ||

Machine Learning | ||

Advanced Topics in Stochastic Processes & Applications | ||

Simulation | ||

Total Hours | 68-72 |