Transforming Industries and Reshaping the Future of Work

The Master of Science in Artificial Intelligence (MSAI) curriculum is designed to provide advanced coursework with practical applications across various AI fields while emphasizing ethical considerations in AI and preparing students to develop and apply AI in ways that promote human flourishing.

30

Credits to complete the degree

$1,895

Per credit hour

3 to 5

Semesters for students to complete the program


 

Students in this program will develop a foundational understanding of AI and its underlying theories and learn how to utilize advanced AI tools and relevant knowledge to tackle real-world challenges, gaining both theoretical insights and hands-on experience applicable in the workplace.

The program is intended for students whose undergraduate preparation is in computer science, artificial intelligence, or a closely related field. Prospective students with strong software coding skills and technical degrees, such as in engineering, mathematics, or the physical sciences, may be able to succeed in the MSAI program.

Curriculum

The MSAI program is designed as a 30-credit master’s degree with a balanced mix of theoretical knowledge and practical application. Understanding that many students are working professionals with additional commitments, the curriculum is designed to offer the flexibility needed to balance both personal and professional obligations. 

  • Core Courses (4 Required)

    • AI 504: Ethics in AI
    • AI 585: Introduction to Machine Learning
    • AI 535: Introduction to Deep Learning
    • AI 546: Natural Language Processing

  • AI Electives (Choose 4 to 6)

    • AI 503: Data Visualization with Tableau
    • AI 505: AI in Healthcare
    • AI 510: Fundamentals of Cloud Computing
    • AI 527: Fundamentals of Neural Networks
    • AI 529: Introduction to Computer Vision
    • AI 536: Intermediate Deep Learning
    • AI 545: Introduction to Data Mining
    • AI 551: Pattern Recognition
    • AI 565: Introduction to Information Privacy and Security
    • AI 576: AI and Robotics
    • AI 577: Autonomous Agents 
    • AI 581: Humanity-AI Interaction 
    • AI 580: Numerical Analysis and Optimization
    • ENGR 582: Advanced Engineering Decision Making & Risk Mgmt. 
    • ENGR 585: Optimization Methods for Engineering Systems 
    • ENGR 586: Multi-Modal Optimization

  • Capstone Project or Master Thesis

    Students have the option to complete a capstone project (one semester, 3 credits) or a master's thesis (two semesters, 6 credits), applying the theories, methods, and processes they have learned. They will develop, train, and test a prototype using AI techniques, evaluating its potential for real-world deployment as a functional system.

  

Program Completion Options

Students can complete the program in 3 semesters by successfully finishing 3 to 4 courses each semester (full-time study), or in 5 semesters by successfully finishing 2 courses each semester (part-time study).

  • Option 1

    - 4 AI core courses
    - 6 program electives

  • Option 2

    - 4 AI core courses 
    - 5 program electives
    - Capstone project

  • Option 3

    - 4 AI core courses
    - 4 program electives 
    - Master thesis