Game Design and Simulation M.S. Degree

Game Design and Simulation M.S. Degree
Computer Science Master's Degree Programs
Computer ScienceCyberSecurityEnterprise ComputingEnterprise Security & Risk Management
Game Design & Simulation ProgrammingMultimedia Experience & ManagementService Oriented Computing 
Professional and Research Potential

The M.S. in Game Design and Simulation Programming degree exposes students to the fundamentals of interactive game design, state-of-the-art graphics and animation and behavior modeling, and the methodologies for game development. The program also provides the skills and environment needed to be a successful member of the gaming community. Graduates of the program are well-suited for positions in the gaming industry as well as in industrial, government, education and research organizations involved in simulation, visualization, training, and "edutainment." Furthermore, the leading coursework in the program prepares students for entry in elite Ph.D. programs in Computer Science, Remote Sensing, and Geographic Information Systems.

Research in Focus
Real-Time Computer Vision and Graphics

Professor George Kamberov's research advances knowledge in computer science, mathematics, and physics. He is currently focused on real-time computer vision and graphics, the development and deployment of real-time systems for scene analysis, surveillance and forensics, monitoring and control of large sensor networks, medical imaging, high energy physics, differential geometry, stochastic systems, and differential equations. He is the Director of the Computer Vision Lab, and is currently working on a variety of research projects, including Vision and Visualization: sensor data; the mobile network, Real-Time Geographic Visualization for the Mobile Networked Multiple Input Multiple Output (MNM) Integrated Test Environment (MITE), Video Surveillance and Visualization Suite component of the Secure Infrastructure Technology Laboratory at Stevens (SINTEL), Video-acoustic-seismic sensor fusion in an urban environment, Video-based surveillance and forensics, Manifold learning and scene segmentation from unorganized 3D point clouds, Modeling and particle-in-cell (PIC) simulation of ELM-produced particle and energy pulses and their effect on the SOL in TOKAMAKs, and Solutions of the Dirac Equation on Higher Genus Surfaces.

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Admission Requirements

Admission into the Graduate Certificate or Master's Degree programs requires an undergraduate degree in Engineering, or in a related discipline, with a grade point average of "B" or better from an accredited college or university.

Required Documentation

All applicants must submit the following documents to be considered for admission:

  • Completed online application for admission
  • Official college transcripts from all colleges attended
  • Two letters of recommendation
  • Statement of Purpose
  • GRE scores*
  • Application fee

Optional Documents:

  • Resume/CV

* Starting Fall 2014 GRE scores required for all applicants applying into a full-time graduate program in the School of Engineering and Sciences. (Code #2819) All scores are only valid for five years prior to the application term. GRE required for all PhD applicants.

Additional Requirements for International Applicants

TOEFL/IELTS - International students (Code #2819).  For English language proficiency requirements please click here.

Approximately two weeks following receipt of the above material, you will receive a decision letter from the Office of Graduate Admissions. If accepted you will receive an acceptance letter outlining the program to which you were accepted, as well as your assigned Academic Advisor's contact information.

For questions related to program requirements please check with the Office of Graduate Admissions at

For more details on deadlines and how to apply please visit the Office of Graduate Admissions website at