Master of Science in Artificial Intelligence

The Master of Science degree in Artificial Intelligence prepares students with a focused educational and research environment to develop career paths through necessary learning and training with emerging artificial intelligence technologies and applications to intelligent analytics, smart homes and communities and robotics and automation. Graduates have technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community and military. These areas include sectors requiring intelligent pattern-analysis of big data such as retail, healthcare, biology, psychology and intelligent human-machine interactions and interfaces.

Program Learning Outcomes

Graduates of this program will be to:

Combine intelligent analytics and automation, human-computer interaction and robotics techniques to optimize and automate, transportation, industrial process and/or healthcare processes.
Apply machine learning techniques on big data to predict, classify, data mine and explore patterns.
Apply intelligent visualization and Internet-based techniques for smart homes and communities.
Perform research, discovery and integration by applying knowledge of artificial intelligence theory and techniques.

Bachelor's degree in artificial intelligence, computer science, computer engineering or related area from an accredited college or university (A degree in artificial intelligence, computer science, computer engineering or related area is no longer required starting with spring 2024 admission)

Minimum 3.000 undergraduate GPA on a 4.000 point scale

English language proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions) by earning one of the following:

Minimum 525 TOEFL PBT score (paper-based version)

Minimum 71 TOEFL IBT score (internet-based version)

Minimum 74 MELAB score

Minimum 6.0 IELTS score

Minimum 50 PTE score

Minimum 100 Duolingo English score

Application Deadlines: Fall Semester: June 15; Spring Semester: November 1; Summer Term: April 1