Computer Science + Philosophy, B.A.

Algorithms now decide who gets a loan, who gets flagged by a security system, and what treatments are recommended. The people building these systems rarely ask whether they should be built the way they are. SLU's Bachelor of Arts in Computer Science + Philosophy program prepares students who do — technically excellent, ethically serious and ready for a world where those two things are inseparable.

Curriculum Overview

  • Software engineering, algorithms and artificial intelligence
  • Ethics, formal logic, epistemology and philosophy of mind
  • Integrative courses: ethics of AI, philosophy of technology
  • Writing and argumentation alongside technical coursework

Experiential and Applied Learning

  • Internships with tech companies, policy organizations and civil society groups
  • Research opportunities with SLU faculty in computer science

Careers

  • AI ethics researcher, tech policy analyst, trust and safety engineer
  • UX researcher, regulatory affairs specialist, technology journalist
  • Typical entry salary: $60,000 – $105,000

Tuition

Tuition/Fee Cost Per Year
Undergraduate Tuition $58,960

Additional charges may apply. Other resources are listed below:

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Scholarships and Financial Aid

For more information about Saint Louis University scholarships and financial aid, please visit the Office of Student Financial Services.

  1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.

  2. Design, implement, evaluate and test a software system that meets a given set of computing requirements.

  3. Apply computer science theory, knowledge of computer systems and software development fundamentals to produce computing-based solutions.

  4. Communicate effectively to both professional and general audiences in both oral and written forms.

  5. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

  6. Function effectively as a member of a team in developing computing technology and solving technical problems.

  7. Synthesize computational and philosophical frameworks to construct reasoned arguments about the design, implications or ethical dimensions of technological systems.

University Undergraduate Core32-35
Major Requirements71
Select a CSCI 10xx: Introduction to Computer Science3
CSCI 1300Introduction to Object-Oriented Programming4
CSCI 2100Data Structures4
CSCI 2300Object-Oriented Software Design3
CSCI 2500Computer Organization and Systems3
CSCI 2510Principles of Computing Systems3
CSCI 3100Algorithms3
CSCI 4961Capstone Project I2
CSCI 4962Capstone Project II2
Select one Systems Elective course3
Two additional 3000 or 4000 level CSCI elective courses6
Required Mathematics Courses
MATH 1510Calculus I4
MATH 1520Calculus II4
MATH 1660Discrete Mathematics3
STAT 3850Foundation of Statistics3
Required Computer Ethics
PHIL 3050XComputer Ethics3
Philosophy Requirements
PHIL 1700The Examined Life: Ultimate Questions3
PHIL 2050Ethics3
or PHIL 2055 Ethics, Justice, & the Person
or PHIL 2150 Writing Intensive Ethics
PHIL 4040Symbolic Logic3
PHIL 4280Biology and Mind3
or PHIL 4150 Philosophy of Science
PHIL 3360Medical Ethics3
or HCE 1700 Death, Disability, Disease, and the Meaning of Life
or HCE 1600 Embodiment, Life, and Death in Context
or PHIL 3420 Environmental and Ecological Ethics
or PHIL 3700 Sustainable Happiness
Additional philosophy elective at the 3000-4000 level3
University Electives14-17
Total Credits120

Introduction to Computer Science

Introduction to Computer Science: Principles
Introduction to Computer Science: Bioinformatics
Introduction to Computer Science: Cybersecurity
Introduction to Computer Science: Game Design
Introduction to Computer Science: Mobile Computing
Introduction to Computer Science: Multimedia
Introduction to Computer Science: Scientific Programming
Introduction to Computer Science: Taming Big Data
Introduction to Computer Science: World Wide Web
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:
Biomedical Engineering Computing
Civil Engineering Computing
Foundation of Statistics

Systems Electives Courses

Operating Systems
Computer Security
Computer Networks
Concurrent and Parallel Programming
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.
Plan of Study Grid
Year One
FallCredits
CSCI 10XXIntroduction to Computer Science 3
MATH 1660 Discrete Mathematics 3
PHIL 1700 The Examined Life: Ultimate Questions 3
CORE 1000 Ignite First Year Seminar 3
CORE 1500 Cura Personalis 1: Self in Community 1
CORE 1900 Eloquentia Perfecta 1: Written and Visual Communication 3
 Credits16
Spring
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1510 Calculus I 4
CORE 1600 Ultimate Questions: Theology 3
PHIL 2050
Ethics
or Ethics, Justice, & the Person
or Writing Intensive Ethics
3
COREEquity and Global Identities: Identities in Context 3
 Credits17
Year Two
Fall
MATH 1520 Calculus II 4
CORE 2500 Cura Personalis 2: Self in Contemplation 0
CSCI 2100 Data Structures 4
PHIL 4040 Symbolic Logic 3
CORE 3400 Ways of Thinking: Aesthetics, History, and Culture 3
 Credits14
Spring
CSCI 2500 Computer Organization and Systems 3
CSCI 2300 Object-Oriented Software Design 3
PHIL 4280
Biology and Mind
or Philosophy of Science
3
STAT 3850 Foundation of Statistics 3
CORE 3500 Cura Personalis 3: Self in the World 1
 Credits13
Year Three
Fall
CSCI 2510 Principles of Computing Systems 3
CSCI 3000-level or 4000-level elective 3
PHIL 3360
Medical Ethics
or Death, Disability, Disease, and the Meaning of Life
or Embodiment, Life, and Death in Context
or Environmental and Ecological Ethics
or Sustainable Happiness
3
CORE 1200 Eloquentia Perfecta 2: Oral and Visual Communication 3
COREEquity and Global Identities: Global Interdependence 3
 Credits15
Spring
CSCI 3000-level or 4000-level elective 3
PHIL 3050X Computer Ethics 3
CORE 2800 Eloquentia Perfecta 3: Creative Expression 3
Systems Elective 3
PHIL 3000-level or 4000-level elective 3
 Credits15
Year Four
Fall
CSCI 4961 Capstone Project I 2
CSCI 3100 Algorithms 3
COREEloquentia Perfecta: Writing Intensive 3
CORE 3800 Ways of Thinking: Natural and Applied Sciences 3
CORE 4000 Collaborative Inquiry 3
University Elective 2
 Credits16
Spring
CSCI 4962 Capstone Project II 2
CORE 3600 Ways of Thinking: Social and Behavioral Sciences 3
CORE 4500 Reflection-in-Action 0
University Electives 9
 Credits14
 Total Credits120

SLU-Madrid students can earn the Bachelor of Arts in Computer Science + Philosophy learning how to build systems and asking whether they should be built the way they are.

Curriculum Overview

Students should consult their advisor to ensure their plan of study meets the timely offerings of the SLU-Madrid campus. 

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.

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Admission

SLU-Madrid Application

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

For more information about computer science programs, please call 314-977-6667 or email cs@slu.edu