电气工程与计算机科学(M.Eng)专业排名暂无排名 ，US News 2018
GRE: No min requirement. Avg admittee: >90% in Quantitative, >70% Verbal, >3.5 score Analytical
TOEFL: No min requirement. Avg admittee: >100 score; iBT: 90 minimum (or 7 out of 9 on the IELTS)
GPA: 3.0 min requirement. Avg admittee: 3.7
Average admissions rate for M.Eng program: 12%
Strong technical background equivalent to a computer science bachelor’s degree.
Experience in programming, algorithms, data structures, and theory at or above the undergraduate level.
Prepare your required materials. Details can be found on the Graduate Division website
GRE Scores - All three sections of the GRE General Test are required. Take the exam between July 2013 - December 2017. Send scores electronically to Institution Code 4833.
Proof of English Proficiency - If your previous degree is from a non-English speaking university, then you need to take the TOEFL or IELTS exam. Send scores electronically to Institution Code 4833.
Statement of Purpose - Why are you applying for this program? What will you do during this degree program? What do you want to do after and how will this help you? Further tips
Personal History Statement - What from your past made you decide to go into this field? And how will your personal history help you succeed in this program and your future goals?
3 Letters of Recommendation - Mixture of academic and industry letters is ideal. They should include details about your goals, accomplishments, technical and leadership skills, academic work, etc. We suggest to give your recommenders a few weeks to write your letters and upload them as PDFs through the link (provided from your online application).
Unofficial Transcripts - Please do not mail transcripts. Simply upload unofficial transcripts as PDFs through the online application. Transcripts not in English or Spanish must be translated prior to uploading to the application.
GPA - If you attended a university outside of the USA, please leave the GPA section blank.
Complete the online application
Start your application and fill in each relevant page.
Upload the materials above, and send the recommender links several weeks prior to the application deadline to give your recommenders time to submit their letters by the deadline.
Enter your exam scores into the application. It is fine for us to receive your official score reports electronically after the deadline as long as we have your scores in the application.
Pay the application fee (waivers available).
Submit your online application before the deadline on January 6 .
The Department of Electrical Engineering and Computer Sciences offers three graduate programs in Electrical Engineering: the Master of Engineering (MEng) in Electrical Engineering and Computer Sciences, the Master of Science (MS), and the Doctor of Philosophy (PhD).
Master of Engineering (MEng)
The Master of Engineering (MEng) in Electrical Engineering & Computer Sciences, first offered by the EECS Department in the 2011-2012 academic year, is a professional master’s with a larger tuition than our other programs and is for students who plan to join the engineering profession immediately following graduation. The accelerated program is designed to develop professional engineering leaders who understand the technical, economic, and social issues of technology. This interdisciplinary experience spans one academic year and includes three major components: (1) An area of technical concentration; (2) Courses in leadership skills; (3) A rigorous capstone project experience.
Master of Science (MS)
The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for pursuing a PhD.
Doctor of Philosophy (PhD)
The Berkeley PhD in EECS combines coursework and original research with some of the finest EECS faculty in the US preparing for careers in academia or industry. Our alumni have gone on to hold amazing positions around the world.
Data Science & SystemsPhysical
Electronics & Integrated Circuits
Robotics & Embedded Software
Signal Processing & Communications
Visual Computing & Computer Graphics