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The Master of Science in Artificial Intelligence (MSAI) curriculum is designed to prepare graduates with the foundation, principles, and technical knowledge, to master the comprehensive framework of theory and practice in the emerging field of AI. Students will gain technical skills and practical expertise for developing and deploying ethical and human-centered artificial intelligence techniques to real-world applications.
The core courses provide comprehensive foundations and practical applications. Students take courses in AI programming, discrete math and algorithms, machine learning and deep learning, natural language processing, agent-based systems, cloud computing, among other courses, and cover special topics before the applied capstone project that simulates real-world experience.
CS 500 STC MS Orientation to Master’s Programs
In the Master of Science in Artificial Intelligence (MSAI) program, students learn to:
Integrate a foundational knowledge of all areas of advanced artificial intelligence
Apply fundamental principles and practices of advanced artificial intelligence
Apply critical and ethical thinking to solve problems in advanced artificial intelligence
Evaluate data to inform decisions and solve problems in advanced artificial intelligence
Create the ability to develop and express ideas while applying a variety of delivery models, genres, and styles
Collaborate effectively on diverse teams to accomplish a common goal
A bachelor’s degree from an accredited university is required to enroll in this program.
The School of Technology and Computing encourages students with non-technical bachelor’s degrees to pursue the MSAI. Preparatory courses for the degree include:
CS 132 Computer Science I
CS 330 Network Communications
IS 340 Operating Systems
IS 360 Database Technologies
Total Required Credits: 39 Credits
CS 500 STC MS Orientation to Master’s Programs
AI 500 Artificial Intelligence Overview
AI 510 Artificial Intelligence in Cloud Computing
AI 520 Natural Language Processing for Artificial Intelligence
CS 506 Programming for Computing
CS 622 Discrete Math and Algorithms for Computing
DS 510 Artificial Intelligence for Data Science
DS 620 Machine Learning and Deep Learning
DS 623 Math and Statistics for Data Science
Depth of Study: Artificial Intellignce
AI 610 Agent Based Systems
AI 620 Emerging Topics in Artificial Intelligence
Seminar
CS 650A Master’s Seminar 1 in Special Technology
CS 650B Master’s Seminar 2 in Special Technology
CS 650B Master’s Seminar 3 in Special Technology
Internship
AI 680 Artificial Intelligence Internship
AI 687 Artificial Intelligence Capstone
Cybersecurity is a growing profession. Globally the demand for cyber talent will exceed 1,000,000 by 2022. Within the United States, cyberseek.org updates the demand for cybersecurity openings.
MSCY prepares graduates to fill positions in multiple disciplines using the socio-technical and management skills honed throughout the degree.
