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About the Bachelor of Science in Computer Science Program
Texas A&M University-San Antonio’s B.S. in Computer Science (CS) is the only ABET-accredited CS program in San Antonio, offering a quality hands-on education grounded in software engineering, databases, operating systems, networks, cybersecurity, and AI. Students can also strengthen their résumés with stackable certificates in Artificial Intelligence, Cybersecurity, Mobile Computing, Data Analytics, and the NSA/DHS Cyber Defense Education pathway. San Antonio, a major technology, defense, and innovation hub, offers our program students many career and workforce opportunities in computing.
Career Opportunities
Graduates of the B.S. in Computer Science program are prepared for careers such as:
- software developer
- software engineer
- web or mobile application developer
- data analyst
- database developer/administrator
- systems analyst
- QA/test engineer
- network or systems support engineer
With project-based coursework in software engineering, databases, operating systems, networks, cybersecurity, and hands-on experience in current technologies such as AI, machine learning, cryptography, and mobile app development, graduating students are equipped for opportunities across technology sectors in healthcare, finance, education, and government.
Faculty Highlights
Students in the B.S. in Computer Science learn from research-active faculty with expertise in artificial intelligence, software development, cloud computing, and high-performance and data-intensive computing. Faculty specialties include software engineering, software security, secure computing, trustworthy AI, computer vision, LLM-assisted coding, and applied AI for real-world applications in healthcare, transportation, privacy, and science. Together, the faculty provides students with a strong foundation in both advanced research and industry-relevant computing skills.
Program Contact Information:
Dr. Venkatesh Uddameri
CEMS Department Chair
STEM 211 D
Phone: 210-784-2224
E-Mail: venkatesh.uddameri@tamusa.edu
Affiliated Faculty
Dr. Zechun Cao
Research Areas: Privacy-preserving algorithms for foundational computational problems and AI-driven systems, vulnerability analysis and intrusion detection through graph-centric computing with AI models.
Office: SciTech 211N
Contact: zcao@tamusa.edu
Brandon Earwood
Research Areas: Improving the quality of pedagogical tools and techniques related to computer science.
Office: SciTech 211L
Contact: bearwood@tamusa.edu
Dr. Young Lee
Research Areas: Program analysis, machine learning and AI safety, system software security, and software visualization.
Office: SciTech 211E
Contact: ylee@tamusa.edu
Dr. Gongbo Liang
Research Areas: Computer Vision, LLMs, Generative AI, Machine Learning, Multimodal Integration, Trustworthy/Responsible Neural Networks, Domain-Specific AI.
Office: SciTech 211G
Contact: gliang@tamusa.edu
Dr. Jeong Yang
Research Areas: Mitigating adversarial attacks on LLMs in software security, Improving the efficiency of auto-code generated by language models (LLMs and SLMs), Intelligent applications of cloud-based AI services to discover effective use of AI technologies, and Software supply chain security utilizing a static analysis framework with source code clone detection techniques.
Office: SciTech 211R
Contact: jyang@tamusa.edu
Student Organizations
