Oct 01, 2022  
2022-2023 Catalog 
    
2022-2023 Catalog

Electrical Engineering and Computer Science, M.S.


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Program Description


Website: eecs.ucmerced.edu 
Contact: Alberto E. Cerpa, Graduate Program Chair, acerpa@ucmerced.edu

Graduate studies in Electrical Engineering and Computer Science offers individualized, strongly research-oriented courses of study leading to the M.S. and Ph.D. degrees. The EECS graduate area is organized to allow students to pursue cutting edge research in modern fields of electrical engineering and computer science, emphasizing research and preparing students for leadership positions in industrial labs, government or academia.

The EECS graduate area is supportive of cross-disciplinary work with connections to faculty from all three Schools at UC Merced. For instance, collaborations with the graduate programs in Environmental Systems and Cognitive and Information Sciences are possible.

Research projects with applications across the full spectrum of science and engineering are encouraged. Opportunities for collaborative projects with scientists at the Lawrence Livermore National Laboratory and with the Center for Information Technology Research in the Interest of Society (CITRIS) are available, particularly with respect to the use of specialized computational equipment.

Prospective applicants must hold the equivalent of a B.S. degree as determined by the university.

Master’s Program Requirements


The principal requirements for a M.S. degree are (1) coursework, (2) the comprehensive exam, which may be in the form of a M.S. thesis or a project report. To apply for the graduate studies in EECS, applicants must follow the application procedure of the UC Merced Graduate Division.

Master’s Program Learning Outcomes


Graduates of the M.S. in Electrical Engineering and Computer Science:

  1. Research Ability. Able to conduct supervised research in electrical engineering and computer science and are able to situate this research in the contexts of current research literatures. *thesis plan only
  2. Core Knowledge. Able to apply their knowledge of computing, mathematics, science, and engineering to the design and implementation of solutions, under appropriate guidance, to technological problems.
  3. Experimental Ability. Able to conduct experiments and computational simulations for the purpose of evaluating and comparing proposed solutions on the basis of empirical evidence.
  4. Lifelong Learning. Possess the characteristics of lifelong learners, able to acquire and use new techniques, skills, and engineering and scientific tools for research and development practice in electrical engineering and computer science.
  5. Ethical Practice. Practice a high standard of professional ethics, including integrity in the conducting and writing of research.
  6. Communication and Presentation. Communicate effectively through oral, visual, and written means, effectively addressing a broad range of technical audiences.

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