Bachelor of Science in Computer Science
The LSUA Bachelor of Science in Computer Science program prepares students for success in the rapidly growing tech industry. Supported by experienced faculty, the program emphasizes quality education, mentorship, and individualized attention to help students achieve their academic and professional goals. Project-based courses allow students to build portfolios of real-world applications, showcasing their skills during job interviews. With a strong foundation in programming, software development, and data management, graduates are well-equipped for careers in various tech sectors. The job outlook for computer science majors is exceptionally promising, with a 15% growth in employment projected from 2021 to 2031, according to the U.S. Bureau of Labor Statistics.
Format | On-Campus or 100% Online |
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Concentrations
The artificial intelligence (AI) concentration provides students with a strong foundation in the rapidly evolving field of AI. The program introduces core concepts, tools, and applications that drive modern intelligent systems while emphasizing ethical decision-making and real-world problem-solving.
Through courses in programming, data science, and AI applications, students gain practical knowledge using industry-relevant tools and techniques. The concentration complements the computer science major, equipping students with valuable analytical and computational skills applicable across many career paths.

Career Opportunities
LSUA graduates have found success in a wide variety of careers, including:
Software Developer
Database Administrator
Computer Systems Analyst
Computer Network Architect
Web Developer
Information Security Analyst
Transferable Skills
Graduates of the program develop a wide range of transferable skills that are highly valued across industries.
Proficiency in multiple programming languages and software engineering practices is essential for creating and maintaining applications in any tech-driven field.
Experience working on team-based, real-world projects builds organizational and leadership skills critical for managing deadlines and resources effectively.
Familiarity with emerging technologies fosters the ability to learn and apply new tools and concepts, ensuring long-term career versatility.
Strong analytical skills enable graduates to design efficient solutions to complex technical challenges, applicable in various industries.
Recommended Minors
Broaden your knowledge and career opportunities!
Combine technical and financial skills for careers in fintech, auditing systems, or data-driven financial analysis.
Gain management and entrepreneurial insight to prepare for leadership roles in tech startups, consulting, and corporate IT.
Explore intersections of computing and the sciences for pathways in bioinformatics, computational chemistry, and research.
Bridge business and technology to pursue careers in systems analysis, IT management, and enterprise solutions.
Strengthen quantitative and logical foundations for careers in AI, cybersecurity, data science, and advanced research.
The Artificial Intelligence (AI) Minor provides students with a strong foundation in the rapidly evolving field of AI. The program introduces core concepts, tools, and applications that drive modern intelligent systems while emphasizing ethical decision-making and real-world problem-solving.
Organizations & Resources
Q. What is the CS Major Field Test (MFT)?
A. The MFT is an ETS (Educational Testing Service) standardized two-hour computer-based assessment test of undergraduate computer science. It is a multiple-choice exam consisting of 66 questions and is administered in a proctored environment.
Q. Do I need to take the MFT to graduate? Is there a minimum score I need to make on the test? What are these results used for?
A. All CS majors are required to take this test during the semester they graduate. There is no required minimum score, but we ask everyone to take the exam seriously and do their best. Your percentile will be high if you correctly answer only 60% of the test items. We use test results for assessment purposes. CS majors from all over the nation take it, so it helps us measure how well we are doing in our CS program.
Q. Can I find study materials or sample test questions somewhere?
A. You can find the test description and sample test questions on the ETS website here: https://www.ets.org/mft/about/test-content.html#accordion-635e2f095b-item-94920fc127
The test description on the ETS website shows that the exam covers a wide range of computer science content. There are no specific study materials for the test. A significant portion of the test is from Discrete Structures, Programming, Algorithms and Complexity, Systems, etc. We recommend reviewing the materials from these courses before taking the exam. The test is a little challenging, so the best approach is to make educated guesses if you're unsure about some questions and move on. This way, you can get through the exam without leaving problems unanswered.
Q. Where can I take the test? How can I register for the Major Field Test?
A. Students may take the test at the LSUA Testing Center or using a remote proctor. Online students can take the test remotely through ProctorU. Students should request an application form from the Mathematics and Computer Science Department and return the completed application to the department and the LSUA Testing Center.
You can find the registration information on the LSUA testing center website here: https://www.lsua.edu/academics/commencement/graduate-resources/
Q. What can I use on the Major Field Test?
A. Nothing. A calculator function is available for some, but not all, of the questions on the test. It is built into the test itself, so no outside calculators are allowed. Students will be provided with scratch paper and pencils, which will be collected after testing. The paper will be shredded after the exam.
Q. What if I have any questions about the MFT?
A. If your question is related to MFT, please contact either the LSUA testing center at testingcenter@lsua.edu or the chair of the Mathematics and Computer Science department Prakash Ghimire at pghimire@lsua.edu
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