Artificial Intelligence - M.S.

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.

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: Successful course completion of high-level algebra, geometry and calculus (equivalent to MATH 12002, MATH 12003, MATH 21001)¹
• 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

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

¹

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)

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

Applications submitted after these deadlines will be considered on a space-available basis.

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.

Program Requirements

Major Requirements

Progression Requirements

• Students should complete a minimum of two required courses and either CS 53302 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

• 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.

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