Master’s in AI Courses

Master’s in AI courses will address the increasing role of artificial intelligence in nearly all aspects of human life, including health care, medical diagnosis, new drug discovery, business intelligence, data analytics, customer behavior prediction, robotics in manufacturing and human assistance, autonomous vehicles, including drones and self-driving cars, and beyond. The Artificial Intelligence program requires students to complete a total of 34 credit hours prior to graduation. Students may select one or more areas of specialization, in which case, the student will need to take at least three courses in each area(s) selected.

Robotics and Automation courses

CPSC 460Introduction to Robotics
CPSC 461Advanced Robotics
CPEG 585Computer Vision
CPEG 588Introduction to Autonomous Vehicles

Deep Learning and Computer Vision courses

CPEG 585Computer Vision
CPEG 586Deep Learning
CPEG 588Autonomous Vehicles
CPEG 686Advanced AI and Deep Learning

Data Sciences and Data Analytics courses

CPSC 552Data Mining
CPSC 651Big Data Systems & Analysis
CPSC 652Hadoop and NoSql
CPSC 570Advanced Robotics

Cybersecurity courses

CPEG 561Network Security
CPSC 563Applications Security
CPSC 568Cryptography
CPSC 571Internet Computing

Core courses

CPEG 585Computer Vision
CPSC 442 Python for Data Sciences

View all courses offered and read full course descriptions in our online course catalog system.

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