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Artificial Intelligence, MS University of North Texas

USA

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324

COVID-19 update: This course will start online and continue on campus later. Read more

Course info

Summary

Considering a career in the exciting field of artificial intelligence? UNT Engineering’s new graduate program may be just the answer. It’s the only standalone Master of Science in Artificial Intelligence in the state of Texas and is one of few nationwide.

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.

What to expect

Students can expect to take 6 hours of bridge courses, 15 hours of core courses, and 12 hours of in their chosen concentration.

Bridge courses give students the necessary background in programming and include Introduction to Programming in Artificial Intelligence and Foundations of Artificial Intelligence.

Core courses will dive into deep learning, machine learning, big data and data science, and feature engineering.

Concentration areas focus on machine learning, biomedical engineering, and autonomous systems, offering students the opportunity to choose their own career path.

Students who graduate from this program will be able to:

  • Understand and apply the concepts of programming related to AI
  • Identify and implement AI applications to solve problems
  • Create and utilize AI systems that respond to market needs
  • Analyze and apply AI concepts and applications available in their chosen field of interest
  • Understand the business needs and job market in AI

Course offerings

  • Bridging and Core Courses | 18 Hours (Required for all students)
  • Validation and Testing Courses | 3 Hours (Choose one based on your concentration)
  • Machine Learning Concentration | 12 Hours (Students choose 4 courses from the list below)
  • Biomedical Engineering Concentration | 12 Hours (Students choose 4 courses from the list below)
  • Autonomous Systems Concentration | 12 Hours

Choose your career path

The most in-demand jobs are data scientists, software engineers, and machine learning engineers, but career opportunities in artificial intelligence can span a wide array of disciplines. If you envision yourself in the healthcare industry, then a concentration in biomedical engineering could be perfect. If robotics, self-driving vehicles, or drones are more your speed, then a path in machine learning or autonomous systems could open an exciting field for you. Whichever route you choose, the marketable skills you’ll receive from this program are sure to prepare you for a challenging career in AI.

Marketable Skills

  • Code using AI programming skills
  • Design, collect, and analyze data
  • Solve problems with creative solutions
  • Quickly grasp new concepts
  • Collaborate and communicate in teams

Course options

Here are the different ways in which you can study Artificial Intelligence, MS.

Full Time (33 credit hours)

Tuition fees

$17,068.00 (12,50,649) per year

*Price shown is for indicative purpose, please check with institution

From

23-Aug-21

Venue

University of North Texas

1155 Union Circle #311277,

DENTON,

Texas,

76203, United States

Entry requirement for international students

Applicants holding a bachelor’s degree with Texas Higher Education Coordinating Board recognized accreditation, its equivalent credential from a foreign institution, or a three-year bachelor’s 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 Master’s program.

Minimum TOEFL score requirement is 79; Minimum IELTS score is 6.0; Minimum PTE score is 53.

Apply by January 15th to be considered for all funding opportunities.

* Please check with your chosen school for the exact entry requirements for your programme.

Contact University of North Texas

To get more information about studying at this University