Bachelor of Applied Science
Learn to use computation as a universal tool to communicate, express ideas and solve problems in various fields, from system administration and software development to information management and digital design.
The term Informatics is broadly used to describe the study and practice of creating, storing, finding, manipulating and sharing information. It is not equivalent to general computer science (CS) but concentrates instead on the upper layers of the CS discipline and moves away from a focus on computers alone to a focus on computing in context. Informatics students develop a strong base of theoretical and practical interdisciplinary experiences.
Students working toward a Bachelor of Applied Science degree in Informatics will learn the core ideas of Informatics in a discipline-independent form, then in the context of specific focus areas, including system administration, software development, information management and digital design.
This degree is designed for students transferring coursework from regionally accredited and/or military institutions. During the application process, the submission of a resume and goal statement is required for professional admission to the program. Before applying, we recommend that you discuss your background with a program adviser. Contact email@example.com or 520-621-0898 for a referral.
Wondering about the specific classes you can take in this program? See the course descriptions below.
- INFV 401 Human Computer Interactions - A beginning level exploration of human-computer design, interaction and interfaces. This includes an introduction of the theory of human-computer interaction (HCI) and the principles of effective visual design through user experiences.
- INFV 403 - Concepts of web design using multimedia, visual, communication and interaction principles. The course introduces web authoring, design solutions and emerging technologies.
- INFV 320 Computational Thinking & Doing - An overview of programming basics and techniques used by computing professionals in a variety of application areas. Topics include computation, algorithms, programming languages, and complexity.