Artificial Intelligence Systems Development, Graduate Certificate

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The Graduate Certificate in Artificial Intelligence Systems Development provides graduate students with the opportunity to reach a demonstrated level of competence in the area of Artificial Intelligence and apply such knowledge to the solution of practical problems. Coursework towards the Certificate in Artificial Intelligence Systems Development can be used for credit towards the M.S. in Artificial Intelligence or M.S. in Computer Science degrees. However, its primary purpose is to provide a well-defined target for students who want to advance their knowledge of modern AI systems and techniques but do not necessarily wish to complete all requirements for a Master’s degree. The certificate may be pursued concurrently with any of the graduate degree programs at UNC Charlotte.

Admission Requirements

The Certificate in Applied Artificial Intelligence is open to all students who hold a B.S. degree in any scientific, engineering, or business discipline and either are enrolled and in good standing in a graduate degree program at UNC Charlotte or have GPA above 2.8 overall and 3.0 for their Junior and Senior years.

In addition, the program requires a current working knowledge of two higher-level languages, including at least one procedural language; and a familiarity with computer applications. The following minimal background in mathematics is also required: two semesters of calculus and one semester of discrete structures. Individuals who have worked at a high professional level in the computer industry may be able to substitute work experience for specific subject area admission requirements.

Certificate Requirements

The certificate will be awarded upon completion of four graduate level courses (12 credit hours) in the area of artificial intelligence, machine learning, and their applications.

Required Courses (3 credit hours)

ITAI 5153 - Introduction to Artificial Intelligence and Ethics (3)

Elective Courses (9 credit hours)

Select any three courses from the following options:

Machine Learning
ITCS 5154 - Applied Machine Learning (3)
ITCS 5356 - Machine Learning Models (3)
ITCS 6101 - Natural Language Processing (3)
ITCS 6156 - Machine Learning (3)
ITCS 6169 - Computer Vision (3)
Robotics and Decision Making
ITCS 5150 - Mobile Robotics (3)
ITCS 6151 - Intelligent Robotics (3)
ITCS 6152 - Robot Motion Planning (3)
Human-AI Interaction
ITCS 5122 - Visual Analytics (3)
ITCS 5123 - Visualization and Visual Communication (3)
ITCS 6121 - Data and Information Visualization (3)
ITCS 6125 - Virtual and Augmented Reality (3)
ITIS 5353 - Social Technology Design (3)
ITIS 5360 - Human-Centered AI (3)
AI System Design
ITAI 5154 - AI-Driven Trustworthy Software Development (3)
ITAI 5160 - Databases and Cloud for Artificial Intelligence (3)
ITAI 6153 - Machine Learning Operations (3)
ITAI 6155 - Artificial Intelligence Development Projects (3)
ITCS 5153 - Applied Artificial Intelligence (3)
ITCS 6145 - Parallel Computing (3)
ITCS 6150 - Foundations of Artificial Intelligence (3)
ITCS 6190 - Cloud Computing for Data Analysis (3)
AI Security
ITIS 5270 - Artificial Intelligence Risk Management (3)
ITIS 5271 - Secure and Trustworthy Artificial Intelligence (3)
ITIS 6220 - Data Privacy (3)

Certificate Total = 12 Credit Hours

Grade Requirements

A cumulative GPA of 3.0 is required, and at most one course with a grade of C may be allowed towards the certificate.