- Program Coordinator: Arvind Bansal | firstname.lastname@example.org |
- Speak with an Admissions Counselor
- Kent Campus
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.
- Bachelor's degree in artificial intelligence, computer science, computer engineering or related area from an accredited college or university for unconditional admission
- Minimum 3.000 undergraduate GPA on a 4.000 point scale for unconditional admission
- Core components of an undergraduate computer science curriculum1
- Official transcript(s)
- GRE scores
- Goal statement
- Three letters of recommendation
- 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 Test score
For more information about graduate admissions, please visit the Graduate Studies admission website. For more information on international admission, visit the Office of Global Education’s admission website.
Prospective students must successfully have completed undergraduate coursework in algorithms, databases, data structures, programming skills and probability and statistics. In addition, course(s) in operating systems is recommended. Highly qualified students lacking preparation in certain standards areas may be admitted.
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.
|CS 53302||ALGORITHMIC ROBOTICS||3|
|or CS 64301||PATTERN RECOGNITION PRINCIPLES|
|or CS 67302||INFORMATION VISUALIZATION|
|CS 54201||ARTIFICIAL INTELLIGENCE||3|
|CS 54202||MACHINE LEARNING AND DEEP LEARNING||3|
|CS 63005||ADVANCED DATABASE SYSTEMS DESIGN||3|
|CS 64201||ADVANCED ARTIFICIAL INTELLIGENCE||3|
|Major Electives, choose from the following:||9|
|SOFTWARE DEVELOPMENT FOR ROBOTICS|
|INTERNET OF THINGS|
|ADVANCED DIGITAL DESIGN|
|HUMAN COMPUTER INTERACTION|
|DATA MINING TECHNIQUES|
|BIG DATA ANALYTICS|
|BIG DATA MANAGEMENT|
|PROBABILISTIC DATA MANAGEMENT|
|COMPUTATIONAL HEALTH INFORMATICS|
|PATTERN RECOGNITION PRINCIPLES|
|MULTIMEDIA SYSTEMS AND BIOMETRICS|
|WIRELESS AND MOBILE COMMUNICATION NETWORKS|
|Culminating Experience, choose from the following:||6|
|CAPSTONE PROJECT |
and GRADUATE INTERNSHIP
|Minimum Total Credit Hours:||30|
Students must maintain a minimum B grade with a minimum 3.000 GPA. Student earning less than a 3.000 GPA or earning a C grade or lower in two courses will be placed on academic probation.
|Minimum Major GPA||Minimum Overall GPA|