The Bachelor of Science in Computer Science and Information Technology prepares students to build, manage, and innovate the core technical infrastructure that powers modern organizations. This program focuses on systems, networking, and cloud infrastructure, with a deep, practical specialization in how to deploy and manage intelligent systems. This program focuses on the practical implementation of AI. Students learn to build and manage the cloud infrastructure, data pipelines, and systems required to deploy and scale machine learning models in real-world environments.
OBJECTIVES
The Bachelor of Science in Computer Science and Information Technology aims to:
Build expertise in managing enterprise IT systems, including networks, servers, and cloud platforms.
Develop the technical skills required to deploy, monitor, and maintain AI and machine learning applications.
Provide a strong foundation in IT service management and infrastructure automation.
Prepare graduates to be the technical architects of intelligent systems.
EXPECTED PROGRAM – LEVEL OUTCOMES
Educate:
Students will understand the principles of IT infrastructure, cloud computing, and the lifecycle of machine learning models.
Develop:
Students will be able to design and manage secure and scalable IT systems and deploy AI applications on cloud platforms like AWS or Azure.
Grow:
Students will learn to automate IT operations (DevOps/MLOps) and manage the unique infrastructure demands of AI workloads.
Empower:
Students will be prepared to lead the technical implementation of AI strategies, ensuring systems are reliable, scalable, and efficient.
WHAT YOU WILL LEARN
Students will build a comprehensive portfolio of skills, moving from foundational theory to specialized, real-world application.
IT Infrastructure and Systems:
Gain proficiency in computer networking, cloud computing (AWS, Azure), database management, and operating systems (Linux, Windows Server).
Cloud Architecture and Automation:
Master the principles of designing scalable, secure, and resilient cloud infrastructure, and learn to automate operations using Infrastructure as Code (IaC).
AI/ML Deployment and Operations (MLOps): Learn the specific tools and practices for deploying, monitoring, and managing machine learning models in production environments.
IT Strategy and Service Management: Understand how to manage complex technology projects, align IT infrastructure with business goals, and implement IT service management (ITSM) best practices.
WHO YOU WILL BECOME
Graduates of this program are prepared to be:
AI/ML Engineers who specialize in the operational side of AI, building the infrastructure to run intelligent systems.
Cloud AI Specialists who architect and manage scalable solutions for AI workloads on platforms like AWS, Azure, or Google Cloud.
DevOps/MLOps Engineers who build the automated pipelines for continuous integration, delivery, and deployment of software and machine learning models.
IT Infrastructure Architects who design the next generation of intelligent, cloud-based enterprise systems.
