Computer Science

Applied Data Analytics

Hands-on data analytics program covering SQL, Python/R, visualization, and business intelligence. More applied than Data Science degrees.

Artificial Intelligence

Focuses on building intelligent systems capable of reasoning, learning, perception, and problem-solving. Students study machine learning, neural networks, natural language processing, computer vision, and AI ethics. Graduates work as AI engineers, research scientists, and ML architects across technology, healthcare, and defense sectors.

Bioinformatics

Applies computational tools and statistical methods to analyze biological data including genomic sequences, protein structures, and gene expression profiles. Students study molecular biology, programming, databases, and machine learning for life sciences applications. Graduates work in genomics, pharmaceutical research, clinical diagnostics, and biotechnology.

Business Analytics

Combines data analysis, statistics, and business strategy to support data-driven decisions. Covers SQL, data visualization, predictive modeling, and BI tools. Gateway to analyst and product management roles.

Cloud Computing

Prepares students to architect, deploy, and manage scalable infrastructure on platforms including AWS, Azure, and Google Cloud. Covers virtualization, containerization, DevOps, serverless architecture, and cloud security. Graduates pursue cloud architect, DevOps engineer, and site reliability engineering roles.

Computer & Information Sciences

A broad computing degree spanning programming, systems, data and applied mathematics -- the general-purpose alternative to a specialised Computer Science, Information Technology or Cybersecurity track, and the code under which many schools file computing degrees with distinctive names. NCES CIP 11.0101 "Computer and Information Sciences, General".