Computer Science, B.A.
Computer science is an exciting, rapidly developing field with vast influence on modern society. Computer science encompasses a broad range of theories and applications. The computer science major at Saint Louis University is excellent for students going into many fields, including technology, business, medicine and law, due to the emphasis on problem-solving skills.
The Department of Computer Science at SLU offers both a Bachelor of Arts and a Bachelor of Science in Computer Science. The B.A. curriculum includes a broad liberal arts study and can be combined with a second major or minor in fields such as art, criminal science or psychology.
SLU's accelerated master's program allows SLU undergraduate computer science majors to earn both a bachelor’s degree and a master’s degree in five years. Students combine a B.A. or B.S. in computer science with a master's degree in computer science, software engineering, artificial intelligence or bioinformatics and computational biology.
Program Highlights
- A choice of engaging introductory courses, allowing students to better connect the application of computer science to their interests.
- Courses are taught in computer labs, allowing for hands-on learning.
- Small class sizes allow for rich student-faculty interactions.
- A curriculum that allows students to see the impact and application of computing throughout society.
Curriculum Overview
Students completing the Bachelor of Arts curriculum in computer science obtain a rigorous, comprehensive background in the discipline. With this curriculum, they are afforded time to delve into other academic interests, including pre-professional studies or a minor or major in another discipline. Students should consult with their advisors to tailor their computer science electives to their individual goals.
Fieldwork and Research Opportunities
Because of our location in the Midtown area of St. Louis, our students have access to a robust technology community, with operations for many Fortune 500 companies and a vibrant startup community. This provides outstanding opportunities for summer internships, part-time work during the academic year, and future jobs after graduation.
Our campus is within walking distance of the Cortex Innovation Community, a vibrant 200-acre (and growing) innovation hub and technology district. Cortex houses SLU's Research Innovation Group, which works on technology transfer and commercial partnerships. Cortex is also home to the weekly Venture Cafe (every Thursday from 3-8 p.m.), which is an excellent place for students to connect with tech community members in a friendly and informal setting. Also in downtown St. Louis is the T-REX Technology Entrepreneur Center, a coworking space and technology incubator.
Our faculty has integrated students into their research programs in various ways. Some of our undergraduate students have participated in REUs (research experience for undergraduates), capstone projects and independent research that has resulted in scholarly publications with their faculty mentors. In addition, many students have had opportunities to travel to conferences and present their work.
Careers
Careers related to computer science are routinely found on various "best jobs" lists because of their outstanding combination of excellent pay, satisfying work-life balance and personal reward in seeing the great impact of computing throughout society. As a sample of such listings:
- U.S. News 100 Best Jobs list for 2024 The top 100 included software developer (#3), IT manager (#4), information security analyst (#7), data scientist (#8), web developer (#21), computer systems analyst (#61), and computer network architect (#77).
- Glassdoor's 50 Best Jobs in America list for 2022 named enterprise architect as #1, and many other technology positions appear within the top 25: full stack engineer (#2), data scientist (#3), devops engineer (#4), machine learning engineer (#6), data engineer (#8), software engineer (#8), java developer (#9), back end engineer (#11), cloud engineer (#12) information security engineer (#15), back end engineer (#16), automation engineer (#21), and UX designer (#24).
Admission Requirements
Saint Louis University also accepts the Common Application.
Freshman
All applications are thoroughly reviewed with the highest degree of individual care and consideration to all credentials that are submitted. Solid academic performance in college preparatory coursework is a primary concern in reviewing a freshman applicant’s file.
To be considered for admission to any Saint Louis University undergraduate program, applicants must be graduating from an accredited high school, have an acceptable HiSET exam score or take the General Education Development (GED) test.
Transfer
Applicants must be a graduate of an accredited high school or have an acceptable score on the GED.
Students who have attempted fewer than 24 semester credits (or 30 quarter credits) of college credit must follow the above freshmen admission requirements. Students who have completed 24 or more semester credits (or 30 quarter credits) of college credit must submit transcripts from all previously attended college(s).
In reviewing a transfer applicant’s file, the Office of Admission holistically examines the student’s academic performance in college-level coursework as an indicator of the student’s ability to meet the academic rigors of Saint Louis University. Where applicable, transfer students will be evaluated on any courses outlined in the continuation standards of their preferred major.
International Applicants
All admission policies and requirements for domestic students apply to international students along with the following:
- Demonstrate English Language Proficiency
- Proof of financial support must include:
- A letter of financial support from the person(s) or sponsoring agency funding the time at Saint Louis University
- A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University
- Academic records, in English translation, of students who have undertaken post-secondary studies outside the United States must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.
Tuition
Tuition | Cost Per Year |
---|---|
Undergraduate Tuition | $54,760 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
There are two principal ways to help finance a Saint Louis University education:
- Scholarships: Scholarships are awarded based on academic achievement, service, leadership and financial need.
- Financial Aid: Financial aid is provided through grants and loans, some of which require repayment.
Saint Louis University makes every effort to keep our education affordable. In fiscal year 2023, 99% of first-time freshmen and 92% of all students received financial aid and students received more than $459 million in aid University-wide.
For priority consideration for merit-based scholarships, apply for admission by December 1 and complete a Free Application for Federal Student Aid (FAFSA) by March 1.
For more information on scholarships and financial aid, visit the Office of Student Financial Services.
- Graduates will be able to analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
- Graduates will be able to design, implement, evaluate and test a software system that meets a given set of computing requirements.
- Graduates will be able to apply computer science theory, knowledge of computer systems and software development fundamentals to produce computing-based solutions.
- Graduates will be able to communicate effectively to both professional and general audiences in both oral and written forms.
- Graduates will be able to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Graduates will be able to function effectively as members of a team in developing computing technology and solving technical problems.
Computer science students must complete a minimum total of 53 credits for the major.
Code | Title | Credits |
---|---|---|
University Undergraduate Core | 32-25 | |
Major Requirements | ||
Select a CSCI 10xx: Introduction to Computer Science | 3 | |
CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
CSCI 2100 | Data Structures | 4 |
CSCI 2300 | Object-Oriented Software Design | 3 |
CSCI 2500 | Computer Organization and Systems | 3 |
CSCI 2510 | Principles of Computing Systems | 3 |
CSCI 3100 | Algorithms | 3 |
CSCI 4961 | Capstone Project I | 2 |
CSCI 4962 | Capstone Project II | 2 |
Select one Systems Elective course | 3 | |
Two additional 3000 or 4000 level CSCI elective courses | 6 | |
Required Mathematics Courses | ||
MATH 1510 | Calculus I | 4 |
MATH 1520 | Calculus II | 4 |
MATH 1660 | Discrete Mathematics | 3 |
STAT 3850 | Foundation of Statistics | 3 |
Required Computer Ethics | ||
PHIL 3050X | Computer Ethics | 3 |
General Electives | 42-49 | |
Total Credits | 123 |
Introduction to Computer Science
Code | Title | Credits |
---|---|---|
CSCI 1010 | Introduction to Computer Science: Principles | |
CSCI 1020 | Introduction to Computer Science: Bioinformatics | |
CSCI 1025 | Introduction to Computer Science: Cybersecurity | |
CSCI 1030 | Introduction to Computer Science: Game Design | |
CSCI 1040 | Introduction to Computer Science: Mobile Computing | |
CSCI 1050 | Introduction to Computer Science: Multimedia | |
CSCI 1060 | Introduction to Computer Science: Scientific Programming | |
CSCI 1070 | Introduction to Computer Science: Taming Big Data | |
CSCI 1080 | Introduction to Computer Science: World Wide Web | |
CSCI 1090 | Introduction to Computer Science: Special Topics | |
With permission, a computing-intensive course from another discipline may be substituted. Examples of such courses include: | ||
BME 2000 | Biomedical Engineering Computing | |
CVNG 1500 | Civil Engineering Computing | |
STAT 3850 | Foundation of Statistics |
Systems Electives Courses
Code | Title | Credits |
---|---|---|
CSCI 4500 | Advanced Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
Non-Course Requirements
All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program.
Continuation Standards
After declaring a computer science major, students must achieve a minimum GPA of 2.00 in computer science courses by the conclusion of their second year as a major and maintain such a GPA at the conclusion of each semester thereafter. Furthermore, students should require at most two attempts to successfully complete any computer science courses required for the major (where an unsuccessful attempt is considered a "D" or "F" for courses numbered 2100 and lower, and an "F" in higher-level courses).
Students are also expected to make adequate progress in the major, typically by enrolling in at least one computer science course per semester until completing their coursework (with exceptions made for premed scholars during their first year, and all students if studying abroad or facing other such extenuating circumstances).
Program Notes
At most, three credit hours of internship with industry courses can be applied to the degree.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
Year One | ||
---|---|---|
Fall | Credits | |
CSCI 10xx: Introduction to Computer Science | 3 | |
MATH 1660 | Discrete Mathematics | 3 |
University Core and/or General Electives | 9 | |
Credits | 15 | |
Spring | ||
CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
MATH 1510 | Calculus I | 4 |
University Core and/or General Electives | 7 | |
Credits | 15 | |
Year Two | ||
Fall | ||
CSCI 2100 | Data Structures | 4 |
CSCI 2500 | Computer Organization and Systems | 3 |
MATH 1520 | Calculus II | 4 |
University Core and/or General Electives | 4 | |
Credits | 15 | |
Spring | ||
CSCI 2300 | Object-Oriented Software Design | 3 |
CSCI 2510 | Principles of Computing Systems | 3 |
STAT 3850 | Foundation of Statistics | 3 |
University Core and/or General Electives | 6 | |
Credits | 15 | |
Year Three | ||
Fall | ||
Systems Elective Course | 3 | |
CSCI 3000+ | Elective | 3 |
University Core and/or General Electives | 6 | |
PHIL 2050 | Ethics | 3 |
Credits | 15 | |
Spring | ||
CSCI 3000+ | Elective | 3 |
PHIL 3050X | Computer Ethics | 3 |
University Core and/or General Electives | 9 | |
Credits | 15 | |
Year Four | ||
Fall | ||
CSCI 4961 | Capstone Project I | 2 |
CSCI 3100 | Algorithms | 3 |
University Core and/or General Electives | 10 | |
Credits | 15 | |
Spring | ||
CSCI 4962 | Capstone Project II | 2 |
University Core and/or General Electives | 13 | |
Credits | 15 | |
Total Credits | 120 |
Introduction to Computer Science
Code | Title | Credits |
---|---|---|
CSCI 1010 | Introduction to Computer Science: Principles | |
CSCI 1020 | Introduction to Computer Science: Bioinformatics | |
CSCI 1025 | Introduction to Computer Science: Cybersecurity | |
CSCI 1030 | Introduction to Computer Science: Game Design | |
CSCI 1040 | Introduction to Computer Science: Mobile Computing | |
CSCI 1050 | Introduction to Computer Science: Multimedia | |
CSCI 1060 | Introduction to Computer Science: Scientific Programming | |
CSCI 1070 | Introduction to Computer Science: Taming Big Data | |
CSCI 1080 | Introduction to Computer Science: World Wide Web | |
CSCI 1090 | Introduction to Computer Science: Special Topics | |
With permission, a computing-intensive course from another discipline may be substituted. Examples of such courses include: | ||
BME 2000 | Biomedical Engineering Computing | |
CVNG 1500 | Civil Engineering Computing | |
STAT 3850 | Foundation of Statistics |
Systems Elective Courses
Code | Title | Credits |
---|---|---|
CSCI 4500 | Advanced Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
Students can complete a B.A. in computer science at SLU’s campus in Madrid. They may also transfer freely between the Madrid and St. Louis campuses.
2+SLU programs provide a guided pathway for students transferring from a partner institution.