Master of Science in Artificial Intelligence

Master of Science in Artificial Intelligence

Requirements:

30 Semester Credits Required

Prerequisites required before the start of the Master of Science in Artificial Intelligence Program:

  1. Completion of a Bachelor's degree, preferably in Computer Science or equivalent
  2. Successful completion of an introductory course in a programming language (C, C++, C#, Python)
  3. Successful completion of a course in Data Structures
  4. Should a prospective student not have completed requirements 2 and 3 above, they will be required to enroll in COMP6120, Fundamentals of Programming and Data Structures, in their first semester.  If taken, COMP6120 will count as one of the elective credits.

BS+MS Bridge Program

Undergraduate students currently majoring in Computer Science are eligible to take certain graduate level courses during their undergraduate studies.  Students can take up to 3 courses (9 credits) as a graduate Non-Degree seeking (NDS) student, prior to being admitted into the graduate program.  For more information, contact the Department Chair.

If a student in the MS in Artificial Intelligence program completed a course at the undergraduate level that is also cross-listed at the graduate level, up to one course in the graduate program can be waived.  This waiver, when combined with the Bridge Program, cannot total more than 3 courses (9 credits).

Transfer of Credits

A maximum of 9 credit hours required for the degree may be transferred from another regionally accredited institution with the approval of the Department of Computer Science. All transfer credits must have received at least a B- letter grade and be approved by the program director. Credits must have been earned within five years preceding the date of admission.

Attendance Policy (Degree Programs)

Students are expected to attend classes in the courses in which they are enrolled.  For online sessions, this includes regular and consistent participation each week. Unwarranted absences may result in a reduced grade for the course.  Any student who misses 25% of a course's didactic content, regardless of cause, will be administratively removed from that course. For purposes of online courses, attendance requires assignment submissions, not merely a login or page view.

Academic Standing and Dismissal

In order to continue in good standing in the program, students must meet the following criteria:

  1. Maintain a 3.0 or higher cumulative GPA.
  2. Earn no more than two course grades below B-.
  3. Earn no grades lower than C-.

Students failing to maintain these standards will be notified and may be subject to dismissal from the program.

Degree Completion Time

It is expected that students will complete this degree program in 2 years.  Students have 6 years in which the program can be completed.


Graduation requirements for the Master of Science in Artificial Intelligence program:

  1. Completion of the approved program within 6 years of beginning coursework.
  2. Completion of the required number of credits.
  3. Maintain a cumulative grade point average of 3.0 or higher.
  4. Earn no more than two course grades below B-.
  5. Earn no grades lower than C- as they do not count toward the degree.
  6. A final project done in conjunction with COMP6680 Capstone Project
  7. Submission of a graduation application according to the following deadlines: June 1 for graduation after the Fall semester; October 15 for graduation after the Spring semester; and January 15 for graduation after the summer semester

Required Core Courses

Each student will complete the following courses:

Item #
Title
Credits
Sub-Total Credits
12

Elective Courses

Each student shall complete 12 instructional credits not duplicated above by taking a selection of the following 6000 level courses:

Item #
Title
Credits
Sub-Total Credits
12

Capstone Project

Students will be required to complete an Internship or Project as part of this final course. 

Item #
Title
Credits
Sub-Total Credits
6

6 credits will need to be earned, requiring students to take this course twice (two semesters). Should a student need additional time to complete their capstone, they may enroll for 1 additional credit per semester until completed.

Total Credits
30