Artificial Intelligence Certificate

Program Highlights

The Graduate Certificate in Artificial Intelligence provides fundamental and advanced skills in the principles, algorithms, and technologies that enable AI and cybersecurity. Develop knowledge and skills in both AI and cybersecurity. Apply AI and machine learning principles and techniques to solve security problems. Apply security principles and practices to maintain operations in the presence of risks and threats.

Requirements

Admission Requirements

  1. Application for admission to the graduate program with application fee by the established deadline.
  2. Submit official transcripts from all universities attended.
  3. A bachelor’s degree from a regionally accredited college/university or the international equivalent.
  4. A 3.0 cumulative undergraduate GPA or a 3.0 GPA calculated on the last 60 semester hours (90 quarter hours) of undergraduate work.
  5. Completion of Introduction to Algorithms and Data Structures (CS 2420 or the equivalent).
  6. The university uses a selective admissions process for admitting students to graduate programs. Meeting minimum admissions criteria does not guarantee admission to the graduate program or to the university as a graduate student.
  7. Recommended courses to take before the program begins are Linear Algebra (MAT 2270 or equivalent) and Statistics & Probability (STAT 2050 or equivalent).

Required Core Courses (Complete 12 Credits)

Course Number

Course Title

Credits
CS 6150 Advanced Algorithms 3.0
CS 6460 Artificial Intelligence 3.0
CS 6470 Machine Learning 3.0
CS 6480 Deep Learning 3.0

Elective Major Courses (Complete 6 Credits)

Course Number

Course Title

Credits
CS 6100 Database Management and System Construction 3.0
CS 6200 Cyberphysical Security 3.0
CS 6300 Software Engineering Leadership 3.0
CS 6400 Modern Databases 3.0
CS 6500 Software Architecture 3.0
CS 6620 Advanced Data Mining or Visualization 3.0
CS 6510 Design and Simulation of Operating Systems 3.0
CS 6730 Advanced Embedding Systems Engineering 3.0
CS 6800 Computer Graphics and Mixed Realities 3.0

Graduation Requirements

  • Completion of all courses with a B- or better.  
  • Overall average GPA  of 3.0 or higher for all 18 credit hours.
  • A maximum of six credit hours transferred from another institution may be used to satisfy graduate requirements. At least two-thirds of the courses applied to the graduate certificate must be taken at UVU.

Additional Helpful Information

International Students

The MCS program is unable to admit international students at this time. This policy may change in the near future, so check back with us often.

Hear From Our Faculty

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"A rigorous, relevant, and practical study of classical ai."

"UVU’s Graduate Certificate in Artificial Intelligence offers a rigorous, relevant, and practical study of classical AI, general machine learning, and deep learning technology. It mixes hands-on implementation, theory, and cutting-edge tools that are relevant in the fast-changing age of AI and into the future. This program is a great way to become AI literate and to be a power user of AI, whether looking for work after graduation, looking to up your skills in your current job, or looking to lead innovation with your current employer."

George Rudolph, AI Certificate Program Director

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