University of North Texas
University of North Texas

Master of Science in Advanced Data Analytics - Applied Artificial Intelligence

The University of North Texas's MS in Advanced Data Analytics with a focus on Applied Artificial Intelligence is a compelling choice for aspiring AI professionals. UNT boasts a strong academic reputation in data science and access to state-of-the-art computing facilities. This program provides a practical, hands-on approach to AI, equipping students with the skills needed to tackle real-world challenges. The curriculum is designed to bridge the gap between theoretical knowledge and practical application.

science STEM Designated
schedule Duration

18 Months

school Level

Masters

location_on Location

United States

stars Credits

34

menu_book Syllabus & Modules

01

Machine Learning

Core Module

02

Deep Learning

Core Module

03

Natural Language Processing

Core Module

04

Data Visualization

Core Module

05

Big Data Analytics

Core Module

06

Statistical Modeling

Core Module

07

Artificial Intelligence Ethics

Core Module

08

Cloud Computing for AI

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$80k - $120k

Core Focus & Roles

AI Engineer Data Scientist Machine Learning Engineer Business Intelligence Analyst
Graduates can pursue careers in various industries, including technology, finance, healthcare, and manufacturing. Common career paths include data scientist, AI engineer, machine learning specialist, and business intelligence analyst. Opportunities exist in both established companies and emerging startups focused on AI-driven 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
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

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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