Axe ’Em, Jacks!
The Department of Computer Science at SFA is dedicated to preparing students for the rapidly evolving world of artificial intelligence, or AI.
AI has become a transformative force across nearly every discipline—driving innovations in automation, data analytics, cybersecurity, robotics, healthcare and business operations. Through a combination of theoretical foundations and applied learning, students gain the technical expertise and creative problem-solving skills necessary to design, develop and deploy AI-driven solutions.
Academic Focus Areas
Students across our computing programs gain hands-on experience in AI design, development and application:
Computer Science
Students in the computer science program develop and implement AI algorithms using programming languages, frameworks, and data analysis techniques. Coursework emphasizes:
- Machine learning and deep learning
- Natural language processing
- Algorithmic reasoning and intelligent systems
- Neural networks and data-driven modeling
Computer Information Systems
Students in the computer information systems program focus on leveraging AI tools to enhance business and enterprise operations. They develop expertise in:
- Data mining and predictive analytics
- Decision-support systems
- AI-driven process optimization
Information Technology
Students in the information technology program focus on AI utility and integration — how AI can be applied to improve business, industrial, cybersecurity and operational systems. Students explore:
- AI-based automation and monitoring
- Smart infrastructure and IoT systems
- Cyber threat detection and response using AI
- AI for logistics, manufacturing and service operations
Career Opportunities
Graduates from these programs are prepared for a broad range of AI-related careers, including:
- Machine Learning Engineer
- Data Scientist
- AI Software Developer
- Business Intelligence Analyst
- Cybersecurity Engineer
- Systems Integration Specialist
- Machine Learning Development
Students have an option to explore the back end of AI through the courses Introduction to Data Analytics and Analytics and Machine Learning. These courses focus on high-demand skills like exploratory data analysis, or EDA, and statistical modeling.