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Artificial Intelligence M.S.

Artificial Intelligence - M.S.

The Masters in Artificial Intelligence degree is a STEM area that prepares students for career paths with emerging Artificial Intelligence technologies, including machine learning intelligent analytics, smart homes and communities, and robotics and automation.

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Master's Degree in Artificial Intelligence

Advance your career in technology with Kent State’s Master of Science degree in Artificial Intelligence. Immerse yourself in specialized coursework that spans key topics, including machine learning, neural networks, and data science. Our program is designed to build your technical expertise and problem-solving skills, preparing you for innovative roles in AI research, software development, and emerging tech industries.

Program Information for Artificial Intelligence - M.S.

Program Description

Program Description

Full Description

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.

Admissions for Artificial Intelligence - M.S.

Admissions

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

Admission Requirements

  • Bachelor's degree from an accredited college or university
  • Minimum 3.000 undergraduate GPA on a 4.000-point scale
  • Course Proficiency: Completion of high-level algebra, geometry and calculus courses (equivalent to MATH 12002, MATH 12003, MATH 21001)1(starting with spring 2026 admissions, a minimum B grade in these courses will be required)
  • Official transcript(s)
  • GRE scores
  • Résumé
  • Goal statement
  • Two letters of recommendation
  • English language proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions to waive) by earning one of the following:2
    • Minimum 71 TOEFL iBT score
    • Minimum 6.0 IELTS score
    • Minimum 50 PTE score
    • Minimum 100 DET score

Admission to this interdisciplinary program is holistic. Highly qualified students from related disciplines who are lacking preparation in some standard areas may be considered for admission on a case-by-case basis.

1

It is strongly recommended that applicants to the program have completed computer sciences courses with a minimum B grade in such areas as computer programming, discrete structures, data structures and abstraction, operating systems, database and computer algorithms (equivalent to CS 13011, CS 13012, CS 23001, CS 23022, CS 33007, CS 33211, CS 46101).

2

International applicants who do not meet the above test scores may be considered for conditional admission.

Application Deadlines

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

All application materials (including applicable fee, transcripts, recommendation letters, etc.) submitted after these deadlines will be considered on a space-available basis.

Learning Outcomes

Learning Outcomes

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. Perform research, discovery and integration by applying knowledge of artificial intelligence theory and techniques.

Coursework

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Program Requirements

Major Requirements

Major Requirements
CS 53302ALGORITHMIC ROBOTICS 3
or CS 63018 PROBABILISTIC DATA MANAGEMENT
or CS 67302 INFORMATION VISUALIZATION
CS 54201ARTIFICIAL INTELLIGENCE 3
CS 54202MACHINE LEARNING AND DEEP LEARNING 3
CS 63005ADVANCED DATABASE SYSTEMS DESIGN 3
CS 64201ADVANCED 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 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 64401
IMAGE PROCESSING
CS 64402
MULTIMEDIA SYSTEMS AND BIOMETRICS
CS 65203
WIRELESS AND MOBILE COMMUNICATION NETWORKS
CS 67301
SCIENTIFIC VISUALIZATION
CS 67302
INFORMATION VISUALIZATION
CS 69995
SPECIAL TOPICS IN COMPUTER SCIENCE (requires advisor approval to apply)
Culminating Requirement
Choose from the following:6
Thesis Option
CS 69199
THESIS I 1
Project Option
CS 69099
CAPSTONE PROJECT
Project Option Electives, choose from the following:
CS 69192
GRADUATE INTERNSHIP
CS 69995
SPECIAL TOPICS IN COMPUTER SCIENCE
Computer Science (CS) Graduate course (50000 or 60000 level) with advisor approval
Minimum Total Credit Hours:30
1

Students selecting the thesis option must form a master's thesis committee, which will include the advisor and at least two other graduate faculty members. The thesis topic and committee must be approved by the advisor and graduate coordinator. The final version of the thesis must be approved by the advisor, thesis committee and graduate coordinator.

Progression Requirements
  • Students should complete a minimum of two required courses and either CS 53302, CS 63018 or CS 67302 before 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
Minimum Major GPA Minimum Overall GPA
- 3.000
  • No more than one-half of a graduate student’s coursework may be taken in 50000-level courses.
  • Grades below C are not counted toward completion of requirements for the degree.
Program Delivery

Program Delivery

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

Examples of Possible Careers and Salaries for Artificial Intelligence - M.S.

Graduates of Kent State University's Master of Science degree in Artificial Intelligence can pursue specialized careers in machine learning, data science, and AI development. They are prepared for roles as software developers, data scientists, and research scientists, working in tech companies, research institutions, and industries that utilize AI technologies to drive innovation, improve decision-making, and solve complex problems.

Computer and information research scientists

15.4%

much faster than the average

32,700

number of jobs

$126,830

potential earnings

Software developers and software quality assurance analysts and testers

21.5%

much faster than the average

1,469,200

number of jobs

$110,140

potential earnings

Data scientists and mathematical science occupations, all other

30.9%

much faster than the average

33,200

number of jobs

$98,230

potential earnings

Notice: Career Information Source
* 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.
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