Program Overview

Masters of Science in Artificial Intelligence

The Masters of Science in Artificial Intelligence (AI) program provides students with a state-of-the-art educational experience to become outstanding, socially responsible engineers of AI systems. This program focuses more broadly on building engineering systems powered by advances in machine learning and AI. Students will learn the theoretical foundations and gain practical skills to manage and engineer various data forms, to make predictive analyses, to derive actionable insights, and develop intelligent hardware and software systems and related cutting-edge AI technologies.

Program Overview

The program draws on insights from mathematics, statistical analysis, computer science, software engineering, and systems engineering and is, therefore, best suited for students with software/computer engineering, computer science, mathematics, and closely related backgrounds.

Program Learning Outcomes

Upon successful completion of the program, students will be able to:

• Identify and apply fundamental concepts, algorithms, and methodologies to formulate, analyze, design, and evaluate artificial intelligence and machine learning systems;
• Tackle complex machine learning and artificial intelligence problems using contemporary principles, algorithms, technologies, methodologies, and tools;
• Lead and participate in a team to develop AI and machine learning applications;
• Recognize the ethical, economic and environmental implications of their work, as appropriate;
• Sustain a process of life-long learning in engineering or other professional areas; and,
• Communicate effectively and persuasively with a variety of audiences.

Program Requirements

The MSAI Program Requirements include:

• Admission Requirements
• Program-specific coursework
• Research and project requirements

Admission Requirements

Admission to the MS in Artificial Intelligence program requires:

• A bachelor's degree in a relevant field (software/computer engineering, computer science, mathematics, etc.)
• Meeting the university's admission standards

Research Areas

The program encompasses various research areas, including:

• AI and ML
• Data Science
• Embedded & Computer Systems
• Autonomous & Robotic Systems
• Networks, Security & IoT
• Software System & Enterprise Software
• Cloud Computing & Virtualization

Academics

The Charles W. Davidson College of Engineering offers several academic programs, including:

• BS in Computer Engineering
• BS in Software Engineering
• MS in Computer Engineering
• MS in Software Engineering
• MS in Artificial Intelligence
• Cybersecurity Foundations Certificate Program
• Courses

Student Resources

Students have access to various resources, including:

• Undergraduate Advising
• Graduate Advising
• Advisor Directory
• Admission
• Theses
• Office Hours
• Project Expo

Faculty and Staff

The faculty and staff include:

• Faculty Directory
• Lecturer Directory
• Staff
• Former Faculty
• Office Hours

Research and Resources

The college provides research opportunities and resources, including:

• Research Areas
• Research Grants
• College of Engineering HPC
• Student Organizations
• Graduation
• For Alumni
• IAB Members
• Advance Registration
• Student Resources
• CyberSummerCamp
• Career Opportunities
• Faculty Resources
• TA Positions