University of North Texas

How this program compares

At an estimated $26K in total tuition, the MS in Artificial Intelligence sits roughly 39% below the $42.9K average for AI master's programs in our database — placing it in the 35th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Maintain a 3.0 cumulative GPA after the first semester with probation rules as stated in the catalog; grades of B or better are required in core, bridge, and validation courses. Confirm undergraduate prerequisites and international credential rules with the admitting program office.

About This Program

UNT publishes this degree as a face-to-face interdisciplinary master’s spanning computer science and engineering units, designed around explicit AI bridge and core sequences plus concentration-specific research or professional depth. Coursework concentrates on Machine Learning and Autonomous Systems. Most students complete it in about 2 years.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 52% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Complete shared AI foundations before advanced core ML and deep learning study.

Budget planners should note $26K estimated total tuition (35th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

Career Outcomes

University of North Texas positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Machine Learning and Autonomous Systems maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Software Engineer
• 3. Robotics / Autonomy Engineer
• 4. Biomedical AI specialist

What You'll Learn

• Complete shared AI foundations before advanced core ML and deep learning study.
• Satisfy validation-methods expectations tied to the chosen concentration.
• Pursue thesis research or additional coursework under the course-only path.
• Access concentration electives in NLP, data mining, vision, controls, or biomedical instrumentation depending on track.

Curriculum Highlights

UNT’s catalog describes the MS with a major in artificial intelligence as interdisciplinary, with thesis (30 hours including 6 thesis hours) and course-only (33 hours) options. Six hours of bridge courses (Fundamentals of AI; Software Development for AI) precede core work. Non-thesis students complete 12 hours of core courses including machine learning, deep learning, feature engineering, and intro to big data/data science; thesis students complete 9 hours of those core courses excluding big data per the published structure. Each student selects a concentration—machine learning, biomedical engineering, or autonomous systems—totaling 12 hours including a concentration-specific validation methods course. Elective and thesis credit rules follow the Department of Computer Science and Engineering listings.

Top Employers

Dallas–Fort Worth metro and Texas-wide technology employers recruit engineering-heavy AI graduates; verify placement via UNT official disclosures.

Admissions

Admission to University of North Texas's MS in Artificial Intelligence generally expects a bachelor's (engineering/cs-related typical). Plan for the GRE, which this program lists as verify current cycle. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of purpose: Required (typical)
• Letters of recommendation: Confirm count
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions