M.S. in Electrical Engineering and Computer Science

University of California, Merced
United States
Qualification
Master's Degree
Study mode
Full-time
Duration
2 years
Intakes
August
Tuition fee (local)
Information not available
Tuition fee (foreign)
Information not available

Entry Requirements

  • Hold a baccalaureate degree or its equivalent from an accredited institution with a major appropriate to the proposed graduate program. This degree must represent the completion of a program equivalent both in the distribution of academic subject matter and scholarship achievement comparable to that offered at the University of California.
  • Have a satisfactory scholastic average, usually a minimum grade-point average (GPA) of 3.0 (B) is required.
  • TOEFL or IELTS Scores: All graduate applicants, regardless of citizenship, whose preparatory education was principally in a language other than English, must show evidence of having taken the Test of English as a Foreign Language (TOEFL) or TOEFL-Internet Based Test or the International English Language Testing Service (IELTS) examination within the past 2 years. 

Curriculum

  •  Probability and Stochastic Processes
  •  Digital Image Processing
  •  Parallel Computing
  •  Advanced Topics in Computer Systems
  •  Embedded Computer Systems
  •  Optimization
  •  Networking of Embedded Sensor Systems
  •  Cloud Computing
  •   Computational Geometry
  •   Computer Graphics
  •  Robot Algorithms
  •  Theory of Computation
  • Program Verification and Model Checking
  • Computational Cognitive Neuroscience
  • Computer Vision
  • Matrix Computation
  • Machine Learning
  • Database Systems Implementation
  • Approximation Algorithms
  • Advanced Topics in Computer Networks and Distributed Systems
  •  Advanced Topics in Robotics
  • Advanced Topics in Machine Learning
  •  Advanced Topics in Intelligent Systems
  •  Large Scale Data Management
  • Advanced Topics in Motion Planning
  •  Advanced Topics in Computer Vision
  •  Computer Animation and Simulation
  • Electrical Engineering and Computer Science Seminar
  • Cognitive Science Graduate Seminar

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