Computer Science + Computer Engineering, B.A.

Most engineers own one layer of a system. Saint Louis University's CS+CE graduates own all of them — from transistors to algorithms, from real-time firmware to application software. SLU's Bachelor of Arts in Computer Science + Computer Engineering program is built for students who want to understand how computers actually work, all the way down, and to build systems that push the limits of what hardware and software can do together.

Curriculum Overview

  • Computer architecture, digital logic, RTL design, and FPGA development
  • Embedded systems: bare-metal firmware, RTOS, device drivers, and hardware interfaces
  • Algorithms, data structures, operating systems, and systems software
  • Hardware-software co-design: performance analysis, tradeoff modeling and system integration

Experiential and Applied Learning

  • Internships with semiconductor firms, aerospace and defense contractors, automotive embedded systems teams, and IoT companies
  • Access to SLU's hardware lab with oscilloscopes, logic analyzers, soldering stations, and PCB fabrication resources

Careers

  • Embedded systems engineer, hardware-software co-design engineer, firmware engineer
  • FPGA/RTL designer, systems architect, robotics engineer, SoC designer
  • Typical entry salary: $85,000 – $120,000

Tuition

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

Additional charges may apply. Other resources are listed below:

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Information on Tuition and Fees

Miscellaneous Fees

Information on Summer Tuition

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 principles of computer science and computer engineering to design, implement, and verify integrated hardware–software systems that meet defined performance, reliability and resource constraints.

University Undergraduate Core32-35
Major Requirements70-71
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
Computer Engineering Requirements
ECE 1200Computer Engineering 1012
ECE 2205Digital Design3
ECE 2206Digital Design Lab1
ECE 3225Microprocessors3
ECE 3226Microprocessors Laboratory1
CS + CENG Electives7-8
Select two of the following courses (at least one of which must have a lab)
Electrical Circuits I
Electrical Circuits II
Electrical Circuits Lab
Advanced Digital Design
Computer Systems Design
Computer Systems Design Lab
Computer Architecture and Organization
University Electives14-18
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
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
 Credits16
Spring
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1510 Calculus I 4
CORE 1600 Ultimate Questions: Theology 3
ECE 1200 Computer Engineering 101 2
COREEquity and Global Identities: Global Interdependence 3
 Credits16
Year Two
Fall
MATH 1520 Calculus II 4
CSCI 2100 Data Structures 4
ECE 2205
ECE 2206
Digital Design
and Digital Design Lab
4
CORE 2500 Cura Personalis 2: Self in Contemplation 0
CORE 3800 Ways of Thinking: Natural and Applied Sciences 3
 Credits15
Spring
CSCI 2500 Computer Organization and Systems 3
CSCI 2300 Object-Oriented Software Design 3
ECE 3225
ECE 3226
Microprocessors
and Microprocessors Laboratory
4
STAT 3850 Foundation of Statistics 3
CORE 3400 Ways of Thinking: Aesthetics, History, and Culture 3
 Credits16
Year Three
Fall
ECE 3205 Advanced Digital Design 3
CSCI 2510 Principles of Computing Systems 3
CSCI 3000-level or 4000-level elective 3
CORE 1200 Eloquentia Perfecta 2: Oral and Visual Communication 3
COREEquity and Global Identities: Identities in Context 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
CORE 3500 Cura Personalis 3: Self in the World 1
 Credits13
Year Four
Fall
CSCI 4961 Capstone Project I 2
CORE 4000 Collaborative Inquiry 3
CSCI 3100 Algorithms 3
CS + CENG Electives 4
COREEloquentia Perfecta: Writing Intensive 3
 Credits15
Spring
CSCI 4962 Capstone Project II 2
CS + CENG Elective 3
CORE 4500 Reflection-in-Action 0
CORE 3600 Ways of Thinking: Social and Behavioral Sciences 3
University Electives 6
 Credits14
 Total Credits120

Saint Louis University-Madrid students can earn the Computer Science + Computer Engineering, B.A., taking courses that will allow them to understand the software and hardware of real-world systems. 

Curriculum Overview

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

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