MS in Artificial Intelligence

MS Artificial Intelligence Engineering prepares you to lead in the fast-growing field of AI in STEM. You’ll gain practical skills in AI, machine learning, and deep learning, learning to develop intelligent solutions for engineering challenges.

The courses cover key topics like pattern recognition, natural language processing, and computer vision, helping you build systems that connect people and technology. Graduates are in demand for roles such as AI Engineer and Data Scientist.

Core requirements: 21 credits (7 courses)

• BGDA 511 Big Data Analytics 3
• BGDA 513 Artificial Intelligence 3
• BGDA 515 Fundamental of Deep Learning 3
• CAPS 623 Internship All Cores 3
• CMPS 514 Management Information Systems 3
• CMPS 516 Models and Algorithms in AI Engineering 3
• CMPS 530 Machine Learning and Pattern Recognition 3

Electives: 15 credits (students must choose 5 courses)

• GDA 510 Data Mining 3
• CMPS 515 Network Security & Cryptography3
• CMPS 520 Database Design Concepts 3
• CMPS 524 Computer Networks and Mobile Communications 3
• CMPS 525 Cloud Computing and Infrastructure 3
• CMPS 560 Object-Oriented Software Development 3
• CMPS 565 Cloud Data Storage Management 3
• CMPS 570 Software Design and Architecture 3
• CMPS 610 Natural Language Processing 3
• CMPS 612 Image Processing and Computer Visualization 3