Every day, the amount of data (from audio to video, and from electronic health records to browsing interests and shopping preferences) continues to increase, and there is a corresponding explosion of demand from industry for engineers who are trained to extract relevant information from such data so that it can be used to improve modern technology and society. This increased demand for qualified data scientists cannot be met with the current pool of qualified engineers. To meet this need, the Master of Science in Electrical and Computer Engineering – Machine Learning and Data Science provides students with focused, rigorous training in the theory, methods, and applications of data science, machine learning and signal, and information processing.
International Students: This program is eligible for the OPT STEM extension.
Please Note: Requirements for graduation, course offerings, course availability, track offerings and any other degree requirements are subject to change. Students should consult with an academic advisor prior to registering for any classes.- A minimum of 28 units is required for the M.S. in Electrical and Computer Engineering – Machine Learning and Data Science degree
- Students are required to pass a digital signal processing test, or take EE 483 – Introduction to Digital Signal Processing as a technical elective (3 units)
- Required courses: 18-20 units
- At least 16 units must be taken in Electrical Engineering
- A minimum cumulative GPA of 3.0 is required for graduation
- A maximum of 4 units of Directed Research, EE 590 or Thesis, EE 594ab may be counted as a technical elective
Detailed Program Curriculum and RequirementsSchedule of ClassesAPPLICATION DEADLINES| SEMESTER | DEADLINE |
|---|
| Spring 2021 (Final Deadline) | September 15, 2020 |
| Spring 2021 (Scholarship Consideration Deadline) | August 31, 2020 |
| Fall 2021 (Final Deadline) | January 15, 2021 |
| Fall 2021 (Scholarship Consideration Deadline) | December 15, 2020 |
| |
Visit our
Application Deadlines page for more information.
APPLICATION REQUIREMENTS- An undergraduate degree in engineering, math or hard science from a regionally-accredited university.
- Satisfactory cumulative undergraduate GPA (grade point average)
- Satisfactory GRE test scores. All scores must be officially reported to the university directly by ETS.
The following materials are required to be included with your online application:
ADDITIONAL MATERIALS FOR INTERNATIONAL APPLICANTSEnglish Language Proficiency: In addition to application requirements above, international students whose first language is not English are required to take the TOEFL or IELTS. There is no minimum TOEFL or IELTS score required for admission to the Viterbi School. For possible exemption from additional language requirements, you must achieve an Internet Based TOEFL (iBT) score of 90, with no less than 20 on each section or an IELTS score of 6.5, with no less than 6 on each band score. Please review USC Graduate Admission – Proficiency in English.
USC GRADUATE APPLICATION
The following is an overview of the tuition & fees for graduate engineering students. Both on-campus and DEN@Viterbi students pay the same tuition.
TUITION
| Academic Year | Per Unit Rate | 3-unit Course | 4-unit Course |
|---|
| Fall 2020 - Summer 2021 | $2,148 | $6,444 | $8,592 |
| Fall 2019 - Summer 2020 | $2,075 | $6,225 | $8,300 |
TUITION & SAMPLE COURSE PLAN (Residential Students Only)
STUDENT FEES
| Fee Description | Fee Amount | On-Campus | DEN@Viterbi |
|---|
| Mandatory Fees (approximate) | Fall 2019: $475
Spring 2020: $420 | | |
| Health Insurance | Fall 2019: $730
Spring 2020: $1,311 | | |
| Norman Topping Student Aid Fee | $8/semester | | |
| ENGR Computing Access Fee (On-Campus students) | $75/semester |
| |
| ENGR Computing Access Fee (DEN@Viterbi students) | $35/semester | |
|
| Exam Proctoring | $40 - $100 per course | | |
Detailed Information on Tuition & FeesThis program is not available through DEN. For a full list of the 40+ engineering graduate programs available online, please visit Online DEN@Viterbi Offerings.
