Computer Science + Psychology, B.A.
The most consequential technology of our era touches the human mind — recommendation systems, mental health apps, educational platforms and AI companions. The Bachelor of Arts in Computer Science + Psychology program prepares Saint Louis University students who can build that technology and understand what it actually does to people. In this SLU program, you'll develop technical depth in software engineering and machine learning alongside rigorous training in cognitive science and behavioral research.
Curriculum Overview
- Software development, algorithms, databases and machine learning
- Cognitive psychology, research methods, psychometrics and behavioral analysis
- Integrative courses: human-computer interaction, computational modeling of behavior
- Experimental design, statistical analysis and user research methods
Experiential and Applied Learning
- Research in psychology and cognitive science labs
- UX research internships with technology, design and health care organizations
Careers
- UX researcher, behavioral data scientist, HCI researcher, clinical tech specialist
- AI/ML engineer, educational technology designer, consumer insights analyst
- Typical entry salary: $65,000 – $115,000
- 95%+ employed or in graduate school within six months
Tuition
| Tuition/Fee | Cost Per Year |
|---|---|
| Undergraduate Tuition | $58,960 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
For more information about Saint Louis University scholarships and financial aid, please visit the Office of Student Financial Services.
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Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
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Design, implement, evaluate and test a software system that meets a given set of computing requirements.
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Apply computer science theory, knowledge of computer systems and software development fundamentals to produce computing-based solutions.
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Communicate effectively to both professional and general audiences in both oral and written forms.
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Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
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Function effectively as a member of a team in developing computing technology and solving technical problems.
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Synthesize computational and psychological knowledge to design, analyze or evaluate systems, models or interventions that account for human cognition, behavior or well-being.
| Code | Title | Credits |
|---|---|---|
| University Undergraduate Core | 32-35 | |
| Major Requirements | 71 | |
| 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 |
| Psychology Requirements | ||
| PSY 1010 | General Psychology | 3 |
| Cognitive Neuroscience | 6 | |
Select 6 credit hours with the "PSY Cog Neuro Cluster" attribute, such as: | ||
| Brain, Mind, & Society | ||
| Cognitive Psychology | ||
| Developmental Psychology | 3 | |
Select 3 credit hours with the "PSY Dev Cluster" attribute, such as: | ||
| Developmental Psych: Child | ||
| Developmental Psychology: Adolescence | ||
| Social & Organizational Psychology | 3 | |
Select 3 credit hours with the "PSY Soc Org Cluster" attribute, such as: | ||
| Social Psychology | ||
| Organizational Psychology | ||
| Mental Health and Wellbeing in Applied Contexts | 3 | |
Select 3 credit hours with the "PSY Health Applied Cluster" attribute, such as: | ||
| Abnormal Psychology | ||
| Occupational Health Psychology | ||
| University Electives | 14-17 | |
| Total Credits | 120 | |
Introduction to Computer Science
| Code | Title | Credits |
|---|---|---|
| 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
| Code | Title | Credits |
|---|---|---|
| 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.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| CSCI 10XX | Introduction to Computer Science | 3 |
| MATH 1660 | Discrete Mathematics | 3 |
| CORE 1700 | Ultimate Questions: Philosophy | 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 |
| Credits | 16 | |
| Spring | ||
| CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
| MATH 1510 | Calculus I | 4 |
| CORE 1600 | Ultimate Questions: Theology | 3 |
| PSY 1010 | General Psychology | 3 |
| CORE | Equity and Global Identities: Identities in Context | 3 |
| Credits | 17 | |
| Year Two | ||
| Fall | ||
| MATH 1520 | Calculus II | 4 |
| CSCI 2100 | Data Structures | 4 |
| Psychology Elective | 3 | |
| CORE 2500 | Cura Personalis 2: Self in Contemplation | 0 |
| CORE 3400 | Ways of Thinking: Aesthetics, History, and Culture | 3 |
| Credits | 14 | |
| Spring | ||
| CSCI 2500 | Computer Organization and Systems | 3 |
| CSCI 2300 | Object-Oriented Software Design | 3 |
| STAT 3850 | Foundation of Statistics | 3 |
| Psychology Elective | 3 | |
| CORE 3800 | Ways of Thinking: Natural and Applied Sciences | 3 |
| Credits | 15 | |
| Year Three | ||
| Fall | ||
| CSCI 2510 | Principles of Computing Systems | 3 |
| CSCI 3000-level or 4000-level elective | 3 | |
| Psychology Elective | 3 | |
| CORE 1200 | Eloquentia Perfecta 2: Oral and Visual Communication | 3 |
| University Elective | 3 | |
| Credits | 15 | |
| Spring | ||
| PHIL 3050X | Computer Ethics | 3 |
| CSCI 3000-level or 4000-level elective | 3 | |
| Systems Elective | 3 | |
| CORE 2800 | Eloquentia Perfecta 3: Creative Expression | 3 |
| Psychology Elective | 3 | |
| Credits | 15 | |
| Year Four | ||
| Fall | ||
| CSCI 4961 | Capstone Project I | 2 |
| CSCI 3100 | Algorithms | 3 |
| CORE 4000 | Collaborative Inquiry | 3 |
| Psychology Elective | 3 | |
| CORE | Equity and Global Identities: Global Interdependence | 3 |
| Credits | 14 | |
| Spring | ||
| CORE 4500 | Reflection-in-Action | 0 |
| CSCI 4962 | Capstone Project II | 2 |
| CORE 3500 | Cura Personalis 3: Self in the World | 1 |
| CORE | Eloquentia Perfecta: Writing Intensive | 3 |
| University Electives | 8 | |
| Credits | 14 | |
| Total Credits | 120 | |
SLU-Madrid students can earn the Bachelor of Arts in Computer Science + Psychology, developing technical depth in software engineering and machine learning alongside rigorous training in cognitive science and behavioral research.
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.
Find Faculty Research Information
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.
For more information about computer science programs, please call 314-977-6667 or email cs@slu.edu.