Master of Science in Computer Science & Electrical Engineering, PhD in Computer Science & Engineering / Electrical Engineering
The Computer Science and Electrical Engineering programs represent the education mission of the Center for Spoken Language Understanding (CSLU). We train students to be able to understand, design, and apply computer algorithms and signal processing techniques. Unlike many other programs, ours is focused on solving complex problems in:
- speech and language processing,
- machine learning,
- data science,
- biomedical problems.
Our work on language processing, using symbolic reasoning, falls within the domain of CS, while our work on signal processing falls within EE. However, much of our work, such as machine learning, speech signal processing, and using statistical techniques for language processing, falls within the intersection of CS and EE.
The program is designed to take one and a half years (5 terms) for full-time students. The program starts in fall, and continues through winter and spring. It continues the following fall and winter. Occasionally courses may be offered during summer term. Students are expected to take 9 to 10 credits per term, occasionally a 1-credit course will be offered in some terms.
Master of Science in Computer Science and Engineering (non-thesis option)
Master of Science in Computer Science and Engineering (thesis option)
Master of Science in Electrical Engineering (thesis option)
Ph.D. in Computer Science and Engineering
Ph.D. in Electrical Engineering
You can also take up to 12 credits of courses as a non-degree student.
Northwest Association of Schools and of Colleges and Universities, Commission on Colleges and Universities
International Student Minimum Qualifications:
All foreign applicants for whom English is not a native language must take the one of the following:
Test for English as a Foreign Language (TOEFL). Institutional code: 4865
English Language Testing System (IELTS)