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Nov 08, 2024
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USC Catalogue 2024-2025
Electrical and Computer Engineering (Machine Learning and Data Science) (MS)
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Return to: Programs, Minors and Certificates
In addition to the general requirements of the Viterbi School of Engineering, the Master of Science in Electrical and Computer Engineering with an emphasis in Machine Learning and Data Science is also subject to the following requirements. A minimum of 32 units, selected from the courses below, is required. At least 22 units must be taken in electrical engineering. Units to be transferred (maximum 4 with adviser approval) must have been taken prior to taking classes at USC – interruption of residency is not allowed. Curricular Practical Training units do not count toward the 32 required units. For Admission Requirements, refer to USC Viterbi School of Engineering .
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Required Foundational Proficiency
0-6 units required. Each of these must either be taken and used as a technical elective, or the respective proficiency test (digital signal processing, software) must be passed: Foundations
All courses are required (16 units)
Learning and Data Analytics
Two courses are required from this list (6-8 units).
Technical Electives
Take the remaining units from the following lists or from the Learning and Data Analytics list. Courses may not apply to more than one degree requirement. Research
A maximum of 4 units of Directed Research or Thesis may be counted toward the Technical Electives area. - EE 590 Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- EE 594a Master’s Thesis Units: 2
- EE 594b Master’s Thesis Units: 2
- EE 594z Master’s Thesis Units: 0
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Return to: Programs, Minors and Certificates
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