Data 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 Hardware Engineering

Focuses on the design, development, and testing of computer processors, memory systems, circuit boards, and embedded hardware components. Students study digital logic, VLSI design, computer architecture, and hardware-software co-design. Graduates work at semiconductor companies, defense contractors, and consumer electronics manufacturers as hardware engineers and chip designers.