Computer Science, B.A.
- 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 | 32-35 | |
| 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 | 39 | |
| 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 Electives Courses
| Code | Title | Credits |
|---|---|---|
CSCI 4500 | Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
Non-Course Requirements
All School of 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.
This roadmap is just one example of a semester-by-semester plan of study for this program. There are other plans students can and do take. The plan of study for each particular student is established in consultation with each student’s academic advisor; this roadmap does not replace academic advising appointments.
Roadmap notes:
- This Roadmap assumes full-time enrollment unless otherwise noted.
- Courses/Milestones marked with an “!” are critical and must be completed in the semester listed in the Roadmap to ensure a timely graduation.
- 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 as long as it is not already fulfilling another requirement. 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 | Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
Note: SLU-Madrid and SLU-St. Louis program requirements vary slightly by campus.
Students of computer science at Saint Louis University-Madrid gain in-depth knowledge of computers and computer systems, as well as the programs and languages that they use to communicate. You'll gain real-world experience in coding, designing and testing programs in multiple programming languages.
Curriculum Overview
Complete your B.S. or a B.A. in computer science at SLU-Madrid. You can also transfer freely between SLU-Madrid and SLU-St. Louis.
The Bachelor of Science degree provides more technical depth and focuses largely on analytical skills and a detailed understanding of computer science. As a more professionally focused degree, graduates often go directly into the industry upon graduation. The B.S. program is modeled after curricular requirements for ABET-CAC accreditation in computer science.
The Bachelor of Arts degree is often combined with another major or minor, providing you with an understanding of the application and impact of the computer sciences on society.
Faculty
The faculty at Saint Louis University-Madrid are experts in their respective fields. They are internationally recognized teachers, researchers and mentors. Learn about our faculty members, including their education, credentials, experience and contact information.
Faculty Research
The SLU-Madrid faculty maintains robust programs of research in a variety of fields. See below for more data.
Find Faculty Research Information
Fieldwork, Internships and Careers
At SLU-Madrid, class enrollment is kept low at all levels to maximize interaction between the professors and students. Computer science classes are held in computer classrooms and involve group work and hands-on projects. Lectures and lab sessions are all taught by full-time, award-winning faculty or faculty with experience gained in the industry.
Graduates with computer science degrees are in high demand in the international job market. Our students master a variety of skills, such as computer hardware and architecture, software analysis, design and build, object-oriented programming, server security and management, database design and applications and networking technologies.
Employment sectors include security analysis, computer graphics and data visualization, artificial intelligence, telecommunications, internet of things (IoT), bioinformatics, software or application development, computer programming, IT system administration, project management and computer forensics.
Admission
Application Deadlines
- April 1 - Fall admission (July 1 for EU students)
- Aug. 1 - Spring admission (Nov. 1 for EU students)
- March 1 - Summer sessions (for applicants who require a student visa)
- April 15 - Summer sessions (for applicants who do not require a student visa)
Contact Us
Office of Admissions
Avenida del Valle, 34
28003 Madrid, Spain
P: (+34) 91 554 58 58
admissions-madrid@slu.edu
Office Hours: Mondays through Fridays: 9 a.m. to 6 p.m. (3 p.m. on Fridays from May 15 - Sept. 1)
Tuition and Fees
SLU-Madrid is committed to providing a quality Jesuit education at an affordable price. Tuition rates at SLU-Madrid are approximately 40% lower than at comparable private universities in the U.S.
If you have questions or would like to speak with a financial aid officer, email us at financialaid-madrid@slu.edu.
2+SLU programs provide a guided pathway for students transferring from a partner institution.
For more information about computer science programs, please call 314-977-6667 or email cs@slu.edu.
