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Computer Science, B.A.

  1. Graduates will be able to analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
  2. Graduates will be able to design, implement, evaluate and test a software system that meets a given set of computing requirements.
  3. Graduates will be able to apply computer science theory, knowledge of computer systems and software development fundamentals to produce computing-based solutions.
  4. Graduates will be able to communicate effectively to both professional and general audiences in both oral and written forms.
  5. Graduates will be able to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  6. 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.

University Undergraduate Core32-25
Major Requirements
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
General Electives42-49
Total Credits123

Introduction to Computer Science

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

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.

Plan of Study Grid
Year One
FallCredits
CSCI 10xx: Introduction to Computer Science 3
MATH 1660 Discrete Mathematics 3
University Core and/or General Electives 9
 Credits15
Spring
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1510 Calculus I 4
University Core and/or General Electives 7
 Credits15
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
 Credits15
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
 Credits15
Year Three
Fall
Systems Elective Course 3
CSCI 3000+Elective 3
University Core and/or General Electives 6
PHIL 2050 Ethics 3
 Credits15
Spring
CSCI 3000+Elective 3
PHIL 3050X Computer Ethics 3
University Core and/or General Electives 9
 Credits15
Year Four
Fall
CSCI 4961 Capstone Project I 2
CSCI 3100 Algorithms 3
University Core and/or General Electives 10
 Credits15
Spring
CSCI 4962 Capstone Project II 2
University Core and/or General Electives 13
 Credits15
 Total Credits120

Introduction to Computer Science

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

CSCI 4500
Advanced Operating Systems
CSCI 4530
Computer Security
CSCI 4550
Computer Networks
CSCI 4610
Concurrent and Parallel Programming
CSCI 4620
Distributed Computing

2+SLU programs provide a guided pathway for students transferring from a partner institution.