The computer science program provides students with a curriculum in the key domains of computer science at undergraduate and graduate levels. These programs provide students with computer science knowledge and skills while preparing them for careers in computer technology and for advanced study in graduate courses. Whether joining the workforce or continuing on to graduate studies, the TROY computer science program can help you realize your full potential. You have options with TROY to learn in a classroom, online or in a blended program. Students in this program have the opportunity to work on individual and team projects that include game design, cell phone apps, web applications, visualizations and more. Students in the computer science undergraduate and graduate programs benefit from small classes and an active Computer Science Club, a student organization that hosts weekly seminars, study sessions and many other activities. TROY’s undergraduate curriculum is centered in the latest technological advances taught by a caring and highly qualified faculty. Students work on individual and team projects, focusing on game design, cell phone apps, web applications, visualization, Teensy Board Programming and database accessing applications to name a few. Artificial Intelligence pushes the limits of computer science by analyzing, designing and implementing self-learning and automatic machines. Students work on individual and team projects, focusing on such things as data-driven system development, game design, data gathering and cleaning, knowledge representation and logic and reasoning. Distributed systems is about coordination and management of the use of shared resources of a networked computer system to achieve a common set of goals.
Students work on individual and team projects, focusing on such things as big data using Hadoop and Spark, simulation and modelling of a distributed system, building a scalable system and protocol development and analysis. Students graduating with this concentration are prepared to work in roles such as the following: cloud administrator, distributed system engineer, Hadoop and or Spark developer, big data engineer, system administrator and application delivery manager.