Arizona State University
Arizona State University

Master of Science in Artificial Intelligence Engineering (Electrical Engineering)

Arizona State University's MS in Artificial Intelligence Engineering, housed within the Electrical Engineering department, is a compelling choice due to ASU's strong academic reputation in engineering and technology. The program benefits from state-of-the-art research facilities and a curriculum designed to meet the evolving demands of the AI industry. Students gain expertise in both the theoretical foundations and practical applications of AI, preparing them for leadership roles in this rapidly growing field.

science STEM Designated
schedule Duration

18 Months

school Level

Masters

location_on Location

United States

stars Credits

30

menu_book Syllabus & Modules

01

Machine Learning

Core Module

02

Deep Learning

Core Module

03

Artificial Neural Networks

Core Module

04

Signal Processing

Core Module

05

Computer Vision

Core Module

06

Reinforcement Learning

Core Module

07

Optimization Techniques

Core Module

08

Embedded Systems

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$90k - $140k

Core Focus & Roles

AI Engineer Machine Learning Engineer Data Scientist Research Scientist
Graduates can pursue careers in various industries, including technology, healthcare, finance, and defense. Common career paths include AI Engineer, Machine Learning Engineer, Data Scientist, and Research Scientist. Opportunities exist in both established companies and innovative startups, with a focus on developing and deploying AI-powered solutions.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 6.5
TOEFL 80
PTE 58
Duolingo 105
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MAX. Backlogs Allowed

5

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Application Fee

Waiver Available

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Deposit Fee

Yes

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Document Submission Deadline

Fall :- January 15

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Application Deadline

Fall :- January 15

Apply for this Course open_in_new Official Course open_in_new
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Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
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