The services of the Career Development Department are a continuation of the student’s education and support the student in the pursuit of employment post-graduation.
In preparing graduate level students to work in the changing media universe, the New Media and Communications Course aims to foster effective communication in digital and online environments. Students gain an understanding of the unique possibilities...
Students in the Business Venture Research Course will build their understanding of various available research methods and tools. Students will utilize qualitative and quantitative research data, as well as primary and secondary sources. Students will...
In Project I: Game Design, students will construct a small native software program using code. Through this process, students will learn the basics of procedural logic in a scripting language, linear thinking, and data-driven behavior. By the end of...
The Critical Listening course focuses on developing listening skills to enhance audio engineering and production efforts through the analysis of sound, recorded signals, signal processing, sonic environments, music, and film. Course topics include...
In the Game Mechanics I course, students will separate complex game projects into modular parts in order to identify the designer’s intent as well as the features that enable the generation of play dynamics and play aesthetics. Students will also...
In the Android Development II course, students will design and generate intermediate user interface structures that can be deployed to an emulator or Android device. They will create and use content databases to support their application deployment.
The Diversity in Modern Media course focuses on the importance of discovering and telling stories across race, religion, gender, class, and diverse cultural backgrounds. Students will explore the roles of journalists and broadcasters as agents of...
The Machine Learning course explores the creation of software solutions that can learn via provided data. The curriculum examines machine-learning techniques such as statistical supervised and unsupervised learning methods, Bayesian learning methods...