Master of Science in Information Technology

California State University - Fullerton

The MS in Information Technology at Cal State Fullerton is a fully online, nationally ranked program built for working professionals who want flexibility without sacrificing rigor. U.S. News & World Report ranks the program third in California and 29th nationwide among online graduate offerings, and a cohort model means you'll build your professional network from your very first course. Information technology now touches every part of business, from cloud infrastructure to cybersecurity to data strategy. The online MS in Information Technology is designed for working professionals: it is part-time only, taught year-round, and structured so a cohort of peers moves through the curriculum together. There are no required prerequisite courses to apply, though relevant work experience in the IT field is recommended. Choose Your Concentration: Select the concentration that matches where you want to take your career. Data Science IT Management. Course Highlights: The online MSIT covers the data and telecommunications requirements behind managed IT and cloud services, systems development processes, programming concepts and e-commerce, along with the accounting and managerial aspects of running an IT organization. You'll also gain practical knowledge in cybersecurity and cyberinsurance, two of the field's fastest-growing areas. Principles of Business Intelligence: Principles of business intelligence explores the design and use of expert systems and decision support systems for management decision-making, including the development of expert systems using shells. Info Resources and IT Project Management: Organizational information resources and IT project management principles, emphasizing strategic use of information resources, and methodologies and practice of project management through hands-on exercises and real-world group projects. Business Databases Design and Processing: Business database design and processing teaches students to design and manage relational databases, including entity-relationship modeling, schema normalization, query formulation, transactions, indexing, performance, security and administration. Business Data Transforming: Business data transforming covers ETL and ELT processes for business data analysis, including relational and multidimensional data extraction, cube queries, time-based hierarchies and calculated members.

College of Business and Economics