University of North Texas
University of North Texas

Master of Science in Artificial Intelligence - Biomedical Engineering

The MS in Artificial Intelligence - Biomedical Engineering at the University of North Texas is a compelling choice due to the university's growing reputation in both engineering and computer science. UNT offers state-of-the-art research facilities and a faculty dedicated to interdisciplinary collaboration, providing students with opportunities to engage in cutting-edge research. This program positions graduates to contribute significantly to the rapidly evolving intersection of AI and medicine.

science STEM Designated
schedule Duration

24 Months

school Level

Masters

location_on Location

United States

stars Credits

36

menu_book Syllabus & Modules

01

Machine Learning

Core Module

02

Deep Learning

Core Module

03

Biomedical Signal Processing

Core Module

04

Medical Image Analysis

Core Module

05

Biomechanics

Core Module

06

Neural Engineering

Core Module

07

AI in Healthcare

Core Module

08

Computational Biology

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$80k - $120k

Core Focus & Roles

AI Engineer Biomedical Data Scientist Research Scientist Machine Learning Engineer
Graduates can pursue careers in medical device companies, pharmaceutical research, healthcare analytics, and academic research. Opportunities exist in developing AI-driven diagnostic tools, personalized medicine solutions, and advanced prosthetics. The intersection of AI and biomedicine is a high-growth area, offering diverse and impactful career paths.

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
TOEFL 79
PTE 53
Duolingo 100
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MAX. Backlogs Allowed

6

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Application Fee

75

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Deposit Fee

N/A

event

Document Submission Deadline

Fall:- April 15

event

Application Deadline

Fall:- April 15

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event

Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
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