E-EGR-AIPO - Master of Engineering in Artificial Intelligence for Product Innovation—Online
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Free Form Requisites
Master of Engineering in Artificial Intelligence for Product Innovation - Online
Fulfill all of the following requirements:
Must maintain a program GPA of at least 2.999
Count courses only from the given course set: Course with an enrollment tag EGRP.
Course substitutions may be approved at the program director’s discretion.
Change to Degree Requirements Beginning Fall 2023
Students admitted prior to the Fall 2023 term are required to complete AIPI 530 - Optimization or AIPI 531 - Deep Learning Reinforcement Applications and two Technical Electives to fulfill their degree requirements.
Students admitted from Fall 2023 onward are no longer required to complete AIPI 530 or AIPI 531. Instead, they must complete one AIPI Departmental Elective and two Technical Electives.
Students admitted prior to the Fall 2023 term may request to take an AIPI Departmental Elective instead of AIPI 530 or AIPI 531 at the program director’s discretion.
Pre-Program Bootcamp
Fulfill all of the following requirements:
AIPI 503 Python Bootcamp (0 units)
Core Industry Preparatory Courses
Fulfill all of the following requirements
MENG 540 Management of High Tech Industries (3 units)
MENG 570 Business Fundamentals for Engineers (3 units)
Internship/Project & Assessment
Fulfill all of the following requirements:
MENG 550 Master of Engineering Internship/Project (0 units)
MENG 551 Master of Engineering Internship/Project Assessment (0 units)
Technical Core
Fulfill all of the following requirements:
AIPI 510 and AIPI 520
Fulfill all of the following requirements:
AIPI 510 Sourcing Data for Analytics (3 units)
AIPI 520 Modeling Process and Algorithms (3 units)
Students who have completed prior courses covering the topics in AIPI 510 and/or AIPI 520 may apply for a waiver of these requirement(s). If a student receives a waiver for one or both of these courses, they are required to take additional elective credits in place of the course(s) waived.
AIPI 530 or AIPI 531
Students admitted prior to the Fall 2023 term must fulfill one of the following requirements:
AIPI 530 Optimization in Practice (3 units)
AIPI 531 Deep Reinforcement Learning Applications (3 units)
Students admitted from Fall 2023 onward are not required to complete AIPI 530 or 531, but can use AIPI 530 or AIPI 531 to fulfill their AIPI Departmental Elective requirement.
AIPI 540 Deep Learning Applications (3 units)
AIPI 510 to AIPI 590L AIPI Departmental Elective (3 units)
AI Operations Core
Fulfill all of the following requirements:
AIPI 501 AIPI Seminar (0 units)
AIPI 560 Legal, Societal, and Ethical Implications of AI (1.5 units)
AIPI 561 Operationalizing AI (1.5 units)
Industry Project
Fulfill all of the following requirements:
AIPI 549 Industry Project Practicum 1 (3 units)
Residency
Fulfill all of the following requirements:
AIPI 504 Introductory Residency (0 units)
AIPI 505 Mid-Program Residency (0 units)
Technical Electives
Take at least 6 credits that match the following:
AIPI 510 to AIPI 590L
BME 500 to BME 850
CEE 500 to CEE 890
CYBERSEC 510 to CYBERSEC 590L
ECE 500 to ECE 781
EGRMGMT 510 to EGRMGMT 590L
FINTECH 510 to FINTECH 590L
ME 500 to ME 775