B.S. in Statistics & Computer Science

Statistics & Computer Science, BSLAS

This major provides students with a strong foundation in Computer Science coupled with advanced coursework in Statistics. Students gain a fundamental understanding of statistical analysis, probability, mathematics, computing, and computer science. In this major, you will have opportunities to work closely with faculty on research. You'll also have the chance to gain hands-on experience through consulting and internships. Our program will prepare you for professional or graduate Statistics and Computer Science work. You will also be prepared for applications of Computer Science involving Statistics. 

The Statistics & CS blended bachelor's degree is a partnership between the Siebel School of Computing and Data Science in The Grainger College of Engineering and the Department of Statistics in the College of Liberal Arts & Sciences. As part of the computing community at Illinois, you will benefit from being part of a top-five-ranked Computer Science program with world-class faculty and research. Learn more about the School's Rankings and Statistics.

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Degree Requirements

See requirements and curriculum map.

Course Catalog

College of LAS

Learn more and how to apply.

Program Page

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CS Student Life

With 800+ student organizations and many CS Student Groups, there's a community for everyone at Illinois.

Student Organizations

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Frequently Asked Questions

Explore common questions and answers.

FAQ

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Career Services

Explore comprehensive career services supporting internships, job searches, and resume development. 

Career Information

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Undergraduate Research

Participate in high-impact semester, year-round, or summer research, mentorship, and showcase opportunities.

Research Opportunities

Curriculum Map

The curriculum sequence mapped below is a sample sequence. Students will work with an academic advisor to achieve educational goals specific to their needs and preparation.

  • Course prerequisite chain
  • Immediate prerequisite
  • Credit or concurrent registration required
  • Concurrent registration required
  • Postrequisite course sequence
Statistics & Computer Science Curriculum Map
First YearSecond YearThird YearFourth Year
Fall First YearSpring First YearFall Second YearSpring Second YearFall Third YearSpring Third YearFall Fourth YearSpring Fourth Year

Notes

Before reviewing the links, students should find their effective Academic Catalog Year. When clicking any links referenced below that take students to the Academic Catalog Year pages, they should be mindful of which Academic Catalog year is displayed.

  1. This optional course is highly recommended for freshmen, who may use it to help meet free elective requirements.
  2. MATH 220 may be substituted. MATH 220 is appropriate for students with no background in calculus.
  3. LAS 102 may be used for external transfer students. LAS 100 is supplemental course international students take along with LAS 101/102/122.
  4. RHET 105 (or an alternative Composition I sequence) is taken either in the first or second semester of the first year, according to the student's UIN (Spring if UIN is Odd). General Education Elective is taken the other semester. Composition I guidelines can be found at Degree and General Education Requirements under Written Communication Requirement.
  5. MATH 415 may be substituted.
  6. General education: Students must complete the Campus General Education requirements including the campus general education language requirement.
  7. CS 340 and two (2) CS technical electives (400 level CS courses) can be use to substiute the CS 233 and CS 341 requirements. The 2 technical electives must be distinct from courses used to satisfy other major requirements and can replace Free Electives.
  8. Additional coursework, subject to College of Liberal Arts and Sciences restrictions to Free Electives, so that there are at least 120 credit hours earned toward the degree.

The code used to present this flowsheet is based on original work shared by the University at Buffalo School of Engineering and Applied Sciences.