Artificial Intelligence, MS: Fees & Entry Requirements at University of Nebraska at Omaha, USA

Artificial Intelligence, MS

USA

What will I learn?

The vision of the MS in artificial intelligence graduate program is to cultivate an innovative research and teaching ecosystem that advances computational and AI-driven solutions, empowering society to address complex challenges in an era of rapid technological transformation. The Department of Computer Science has developed a Fast Track program for highly qualified and motivated students providing the opportunity to complete a bachelor’s degree and a master’s degree in an accelerated time frame. With Fast Track, students may count up to nine graduate credit hours towards the completion of their undergraduate program as well as the graduate degree program. Students will work with both undergraduate and graduate advisors to ensure graduate classes selected will count toward both programs, should a student wish to earn a graduate degree in a separate College of Information Science & Technology (CIST) area than their undergraduate degree.

Study options

Full Time (3 Semesters)

Tuition fees
$19,206.00 (16,20,486) per year
Books and Supplies: $1,264, Housing and Food: $13,548
Application deadline

01/03/2027

Start date

May 2027

Venue

University of Nebraska at Omaha

6001 Dodge Street,

OMAHA,

Nebraska,

NE 68182, Midwest, United States

Full Time (3 Semesters)

Tuition fees
$19,206.00 (16,20,486) per year
Books and Supplies: $1,264, Housing and Food: $13,548
Application deadline

01/05/2027

Start date

August 2027

Venue

University of Nebraska at Omaha

6001 Dodge Street,

OMAHA,

Nebraska,

NE 68182, Midwest, United States

Entry requirements

For international students

The minimum undergraduate grade point average (GPA) requirement for the MS in artificial intelligence program is 3.0 or equivalent score on a 4.0 scale. Applicants should have the equivalent of a four-year undergraduate degree.

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

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