Shape the Technologies That Power the Internet of Things

The Artificial Intelligence concentration in the online M.S. in Computer Science (MSCS) program teaches students how to design and implement computing systems that perceive, act and learn. You will study and implement machine-learning techniques and experience-based models for solving problems. You will learn to build cyber-secure systems that collect and respond to various sensor measurements and design networks that communicate and respond to environmental signals. These are the cutting-edge technologies that power the Internet of Things.

Career Spotlight: Machine Learning Engineer

This concentration prepares you with both computer science fundamentals and the specialized skills you need for an in-demand career like that of a Machine Learning Engineer. From cars that drive themselves to news feeds tailored to your interests, Machine Learning Engineers are devoted to creating intelligent systems that can direct themselves instead of relying on human input.

From 2012 to 2017, the position of Machine Learning Engineer grew by 980 percent, making it the nation's fastest-growing job. Our MSCS with an Artificial Intelligence concentration prepares you to enter into this fascinating field, do cutting-edge work, and earn a median salary of $111,275 annually.

Artificial Intelligence Courses

For the Artificial Intelligence concentration, students will take:

  • 1 core research course (3 credit hours)
  • 6 concentration courses (18 credit hours)
  • 3 elective courses (9 credit hours)
  • 1 capstone course (3 credit hours)

Total Credits: 33

A sample of the Artificial Intelligence courses offered includes:

  • Statistical Significance
  • Robotics
  • Machine Learning
  • Artificial Intelligence 1
  • Artificial Intelligence 2
  • Natural Language Processing

Based on students' interests, potential projects completed within this concentration may involve work on lighting systems, thermal controls, automatic control systems for energy grids, wired appliances that can be remote controlled or act automatically, home security and monitoring tools, and other related systems in which the need for autonomous, intelligent decision-making is critical.

Student Learning Outcomes

Upon completion of the Artificial Intelligence concentration in the MSCS program, students will be equipped to:

  1. Design and implement intelligent systems that perceive, act and learn in a variety of challenging environments
  2. Utilize machine-learning techniques to improve the performance of computer-based systems
  3. Derive experience-based models for solving problems
  4. Design systems that collect, analyze and respond to a variety of sensor measurements
  5. Design networks that help communicate and coordinate responses to environmental signals

Shape the Science of Technology

To learn more about the online M.S. in Computer Science, call (866) 967-7046 to speak with a Graduate Admissions Counselor or request more information.