Multimedia Management and Experience M.S.

Multimedia Management and Experience M.S.
Computer Science Master's Degree Programs
Computer Science Cybersecurity Enterprise Computing
Enterprise Security & Risk Management Multimedia Experience & Management Service Oriented Computing
Computer Graphics and Multimedia Experience Engineering

Multimedia Management and Experience brings together two elements of user interfaces and information presentation: multimedia content experience and content management. Graduates of the program will have a firm grounding in computer graphics, human computer interaction and software engineering. Beyond this, they can choose to specialize in multimedia experience (advanced graphics, visual analytics) or multimedia management (distributed computing). Both tracks include courses in software engineering (user experience engineering and software architecture). Unique research opportunities are available in the Computer Vision Lab, which performs cutting edge collaborative research and education in visual computing by advancing the fields of computer vision and graphics, sensor fusion, machine learning, and distributed cognition.

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. Dr. Kamberov 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 [email protected].

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