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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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Graduates will have technical knowledge and research and development skills necessary for applying artificial intelligence to industry, community, military including sectors requiring intelligent pattern-analysis and visualization of big data such as retail, healthcare, biology, psychology, and intelligent human-machine interactions and interfaces. There is a strong growing industrial demand for AI graduates with starting salary averaging around US $120,000 per year.

Program Information

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 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 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 to MATH 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 to CS 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.

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
On This Page

Program Requirements

Major Requirements

Major Requirements
CS 53302ALGORITHMIC ROBOTICS 3
or CS 64301 PATTERN RECOGNITION PRINCIPLES
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 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 either CS 53302, CS 64301 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 3.000
Program Delivery
  • Delivery:
    • In person
  • Location:
    • Kent Campus

Examples of Possible Careers and Salaries

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:

* 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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