State University of New York at Buffalo
State University of New York at Buffalo

Masters of Science in Engineering Science (Artificial Intelligence)

The MS in Engineering Science (Artificial Intelligence) at SUNY Buffalo offers a robust curriculum backed by the university's strong reputation in computer science and engineering. Students benefit from access to cutting-edge research facilities and labs, fostering a dynamic learning environment. The program's focus on both theoretical foundations and practical applications ensures graduates are well-prepared for leadership roles in the rapidly evolving AI landscape. SUNY Buffalo's location also provides access to a growing tech industry and research collaborations.

science STEM Designated
schedule Duration

22 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

Natural Language Processing

Core Module

04

Computer Vision

Core Module

05

Robotics

Core Module

06

AI Ethics

Core Module

07

Knowledge Representation

Core Module

08

Intelligent Systems

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$90k - $140k

Core Focus & Roles

Machine Learning Engineer AI Research Scientist Data Scientist AI Consultant
Graduates can pursue careers in various industries including technology, healthcare, finance, and manufacturing. Common career paths include AI research and development, data science, machine learning engineering, and AI consulting. Opportunities exist in both established companies and emerging startups focused on AI innovation.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT Waiver Available
GRE Waiver Available
IELTS 6.5
TOEFL 90
PTE 62
Duolingo 120
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MAX. Backlogs Allowed

7

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Work Experience (Years)

Waiver Available

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Application Fee

100

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Deposit Fee

No

event

Document Submission Deadline

February 15

event

Application Deadline

February 15

Apply for this Course open_in_new Official Course open_in_new
school

Academic

  • Min GPA 3
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