Master of Science in Computer Science (STEM) QS - Temple University, USA

The Master of Science in Computer Science program in Temple’s College of Science and Technology provides a solid foundation in computing with applications in current research topics. Electives within the Computer Science MS allow you to broaden your academic exposure or deepen your knowledge of a particular area of computer and information sciences. For instance, tailor your master’s degree by taking a series of courses related to wireless and mobile networking with security courses to complement the work’s technical aspects. If you are more interested in big data or data science, focus your course selection on applications of artificial intelligence, machine learning, natural language processing, and social data analysis and visualization.

After completing the Computer Science MS program, graduates will be able to  

• Advance to higher-level graduate research in computer science and related disciplines;
• Implement strong teamwork and leadership abilities, as well as critical thinking and problem-solving skills, in professional contexts;
• Recognize, isolate and solve system implementation problems; and
• Succeed professionally as computer scientists and software engineers.

Some graduates of this master’s program pursue further studies, research positions and teaching careers. Others enter professional positions as computer consultants, networking or security specialists, software designers, systems analysts, system or application programmers, or technical leaders.

Areas of Specialization: Research interests of faculty include:

• Analysis of algorithms
• Artificial intelligence
• Communication and networks
• Computer architecture
• Data analytics
• Digital forensics
• Expert systems
• Flexible and intelligent manufacturing systems
• Graphics
• High-performance computing
• Information security and assurance
• Intelligent CAI systems
• Management information and database systems
• Natural language processing
• Network security
• Parallel and distributive processing and operating systems
• Programming languages
• Sensory and image processing
• Software engineering
• Theory of automata and computation
• Wired and wireless networks