About This Program

The Master of Science in Artificial Intelligence program provides rigorous training in the theory and application of AI, equipping you with the skills to develop intelligent systems that can solve complex problems in a variety of fields. With access to state-of-the-art technology and experienced faculty, you'll gain the knowledge and practical experience needed to make an impact in this rapidly growing field.Read more...

Contact Information

• Program Coordinator:Arvind Bansal|gradinfo@cs.kent.edu| 330-672-9047
• Connect with an Admissions Counselor:U.S. Student|International Student

Program Delivery

• Delivery:
  • In person
• Location:
  • Kent Campus

Examples of Possible Careers and Salaries*

^{* Source of occupation titles and labor data comes from the U.S. Bureau of Labor Statistics'Occupational Outlook Handbook. Data comprises projected percent change in employment over the next 10 years; nation-wide employment numbers; and the yearly median wage at which half of the workers in the occupation earned more than that amount and half earned less.}

For more information about graduate admissions, visit thegraduate admission website. For more information on international admissions, visit theinternational admission website.

Admission Requirements

• 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
• Core components of an undergraduate computer science curriculum(no longer required starting with spring 2024 admission)¹
• Course Proficiency: Successful course completion of high-level algebra, geometry and calculus (equivalent toMATH 12002,MATH 12003,MATH 21001)is required starting with spring 2024 admission²
• Official transcript(s)
• GRE scores
• Résumé
• Goal statement
• Three letters of recommendation(Two letters of recommendation are required starting with spring 2024 admission)
• 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

Highly qualified students lacking preparation in some standard areas may be considered for admission on a case-by-case basis.

¹

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.

²

Recommended but not required: Successful course completion in computer programming, discrete structures, data structures and abstraction, operating systems, database and computer algorithms (equivalent toCS 13011,CS 13012,CS 23001,CS 23022,CS 33007,CS 33211,CS 46101).

Application Deadlines

• Fall Semester
  • Application deadline: June 15
• Spring Semester
  • Application deadline: November 1
• Summer Term
  • Application deadline: April 1

Applications submitted after this deadline will be considered on a space-available basis.

Program Requirements

Major Requirements

Course List

Code	Title	Credit Hours
Major Requirements
CS 53302	ALGORITHMIC ROBOTICS	3
orCS 64301	PATTERN RECOGNITION PRINCIPLES
orCS 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
CS 53301	SOFTWARE DEVELOPMENT FOR ROBOTICS
CS 53302	ALGORITHMIC ROBOTICS
CS 53303	INTERNET OF THINGS
CS 53305	ADVANCED DIGITAL DESIGN
CS 53334	HUMAN-ROBOT INTERACTION
CS 57201	HUMAN COMPUTER INTERACTION
CS 63015	DATA MINING TECHNIQUES
CS 63016	BIG DATA ANALYTICS
CS 63017	BIG DATA MANAGEMENT
CS 63018	PROBABILISTIC DATA MANAGEMENT
CS 63100	COMPUTATIONAL HEALTH INFORMATICS
CS 63306	EMBEDDED COMPUTING
CS 64301	PATTERN RECOGNITION PRINCIPLES
CS 64401	IMAGE PROCESSING
CS 64402	MULTIMEDIA SYSTEMS AND BIOMETRICS
CS 65203	WIRELESS AND MOBILE COMMUNICATION NETWORKS
CS 67301	SCIENTIFIC VISUALIZATION
CS 67302	INFORMATION VISUALIZATION
Culminating Requirement
Choose from the following:		6
CS 69099	CAPSTONE PROJECT
CS 69099 &CS 69192	CAPSTONE PROJECT and GRADUATE INTERNSHIP
CS 69199	THESIS I
Minimum Total Credit Hours:		30

Progression Requirements

Students should complete a minimum of two required courses and eitherCS 53302,CS 64301orCS 67302before taking elective courses.

Students must maintain a minimum 3.000 GPA. Students earning less than a 3.000 GPA or earning a C grade or lower in two courses will be placed on academic probation.

Graduation Requirements

Graduation Requirements Summary

Minimum Major GPA	Minimum Overall GPA
3.000	3.000

Program Learning Outcomes

Graduates of this program will be able to:

1. Combine intelligent analytics and automation, human-computer interaction and robotics techniques to optimize and automate transportation, industrial processes and/or healthcare processes.
2. Apply machine learning techniques on big data to predict, classify, data mine and explore patterns.
3. Apply intelligent visualization and Internet-based techniques for smart homes and communities.
4. 进行研究,发现和集成的应用程序lying knowledge of artificial intelligence theory and techniques.

Full Description

科学学位人工易达利的主人gence 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.