Artificial Intelligence, MS: Fees & Entry Requirements at University of North Texas, USA

Artificial Intelligence, MS

USA

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14

What will I learn?

In order to meet the increasing demand for AI professionals, the University of North Texas, a Tier One research university, is offering the only Master of Science degree in Artificial Intelligence in Texas and one of only a few programs nationwide. The new degree offers students the choice of three concentrations: Machine Learning, Autonomous Systems and Biomedical Engineering. Students will be able to take classes that allow them to explore specific interests in AI and leave the program with marketable skills. UNT’s degree is interdisciplinary, allowing students to leverage their existing skill set and experience by combining it with AI knowledge. Graduate students in our program have the opportunity to specialize in machine learning, biomedical engineering, or autonomous systems.

Which department am I in?

College of Engineering

Study options

Full Time (4 Semesters)

Tuition fees
$32,808.00 (27,68,140) per year
Books and Supplies - 1120
Application deadline

01/01/2027

Start date

May 2027

Venue

University of North Texas - Denton Campus

1155 Union Circle,

DENTON,

Texas,

76203, South, United States

Full Time (4 Semesters)

Tuition fees
$32,808.00 (27,68,140) per year
Books and Supplies - 1120
Application deadline

15/10/2026

Start date

January 2027

Venue

University of North Texas - Denton Campus

1155 Union Circle,

DENTON,

Texas,

76203, South, United States

Entry requirements

For international students

Applicants holding a bachelors degree with Texas Higher Education Coordinating Board recognized accreditation, its equivalent credential from a foreign institution, or a three-year bachelors degree that meets the vetting criteria of a reputable agency, are eligible to apply for admission to UNT graduate study;

3.0 GPA in the undergraduate degree for admission to the Masters program

*There may be different IELTS requirements depending on your chosen course.

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