Jun 18, 2025  
2025-2026 LSUA Catalog 
    
2025-2026 LSUA Catalog

Computer Science, BS


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The BS in Computer Science provides students the opportunity to gain competence in evaluating complex computing problems and identifying their solutions.  Computer Science majors will sharpen their analytical skills in general and become proficient in such areas as computability, information, automata, algorithm design, software, networks, data analysis, and computer systems security.  They will be prepared to pursue graduate or professional studies or embark upon a career in a wide range of companies, educational institutions, or government agencies. Students may also choose to specialize their studies through the Artificial Intelligence (AI) concentration. This concentration provides a strong foundation in data-driven and intelligent systems, with courses in data mining, predictive modeling, machine learning, and deep learning. Students will develop practical skills in analyzing complex datasets and building adaptive, intelligent applications, preparing them for careers in AI, data science, and emerging technology fields.

Student Learning Outcomes 

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

  2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

  3. Communicate effectively in a variety of professional contexts.

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

  5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

  6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

Admission Requirements 

Students must meet all requirements for admission to the university.  The Bachelor of Science in Computer Science has no separate or special admissions requirements. 

Degree Requirements 

  1. Students must complete all of the requirements pertaining to baccalaureate degrees as prescribed in Degree Requirements. 

  2. Students must complete at least 30 hours at the 3000-level or above, at least nine of which must be at the 4000 level. 

  3. Students are required to make a grade of “C” or higher in all courses in the Major Requirements section of the computer science curriculum. 

Total Credits: 120


General Education Requirements


Total Credits: 6


Social Sciences


Total Credits: 6


Mathematics


Since the prerequisites for MATH 1540  and MATH 1550  are MATH 1021  and MATH 1022 , students may need to take MATH 1021  and MATH 1022  before taking MATH 1540  or MATH 1550 . If taken, these prerequisite courses may be used as free electives. 

Total Credits: 8


Natural Sciences


Total Credits: 10


Humanities


Total Credits: 9


Fine Arts


Total Credits: 3


Total Credits: 42


Total Credits: 40


Total Credits: 9


Concentration Requirements


Students who choose to complete the Artificial Intelligence (AI) concentration must take the courses listed below:

Total Credits: 15


Electives


  • Free Electives Credits: 14-29

(Students pursuing the Artificial Intelligence concentration must complete 14 hours of free electives; students not selecting the AI concentration must complete 29 hours of free electives) 

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