Nestled right in the heart of New York City—one of the world’s biggest tech hubs—Queens College offers world-class courses and facilities for a master’s degree in computer science.
A master’s degree in computer science from Queens College can help prepare you for a wide range of careers in the technology industry, including software engineering, data analysis, cybersecurity, and more. The program has a strong track record of placing students in top technology companies, as well as research and academic institutions.
The faculty in the Computer Science department at Queens College are experts in their fields, with extensive experience in both academia and industry. They bring a wealth of knowledge and real-world experience to the classroom, which can help students to gain a better understanding of the industry.
Queens College has a strong commitment to research and offers students many opportunities to engage in research projects. This can be particularly beneficial for students who are interested in pursuing a career in academia or research.
Faculty research interests include but are not limited to:
- Analytic number theory
- Computer vision
- Operating systems
- Computational algebra
- Computer organization and architecture
- Computer graphics
- Programming languages
One of the research labs available to students is the Uncertainty Reasoning Laboratory (URL Lab). Its investigations center on developing tools and methods for reasoning, learning and decision making under uncertainty and bring researchers together from multiple disciplines such as computational biology and big data analytics.
The Center for Computational Infrastructure for the Sciences (CCIS) conducts research on the theory, methodology, and technology (e.g., analytics, modeling, simulation, visualization) that enable computation to be used as an effective means for scientific discovery, and on the deployment of such computational theory, methodology, and technology in large-scale interdisciplinary applications.
- Computer science
- Computer engineering
- Electrical engineering
- Data science
- Information systems
- Video game development
- IT security
- Cloud computing