MS in Artificial Intelligence

Curriculum Requirements

Introductory Courses

No Introductory Course may be substituted for any other course at any level.

Introductory courses may be waived for any of the following conditions:

  • The student has the appropriate course work to satisfy an Introductory Course.
  • The student has appropriate and verified professional experience to satisfy an Introductory Course.
  • If an exam is available, the student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.
  • CSC 400
  • CSC 401
  • CSC 402
  • CSC 403
  • CSC 412
  • IT 403

Required Courses

  • CSC 421
  • CSC 480
  • CSC 484
  • CSC 578
  • CSC 580
  • CSC 583
  • CSC 587
  • DSC 540

Major Electives

Choose eight (8) credits from the following list:

  • CMNS 549
  • CSC 458
  • CSC 481
  • CSC 482
  • CSC 528
  • CSC 555
  • CSC 575
  • CSC 577
  • CSC 594
  • CSE 475
  • CSEC 440
  • DSC 450
  • DSC 478
  • DSC 480
  • SE 488
  • SE 489

Open Electives

Student must complete four (4) credits of advisor-approved graduate courses from the School of Computing in the range of 421-699. Students may select from the following subjects: CSC, CSE, CSEC, DSC, ECT, GAM, HIT, IS, IT, NET, SE.

Capstone Requirement

Choose one courses from the following list:

  • CSC 675
  • CSC 695
  • CSC 697

The internship option offers students the opportunity to integrate their academic experience with on-the-job training on an AI-related project. Students must enroll in CSC 697 for 4 credit hours to satisfy the capstone requirement. These are the steps: 1) Secure an internship with focus in AI. 2) International Students must obtain the appropriate practical training form and meet with an advisor in the CDM Academic Center for approval. ISS Forms 3) Login to MyCDM and click the “Internships” link on the left to start the course enrollment process.

A student who is working on a research project and has made an original contribution to their area of study may choose to complete a Master's Thesis. Additional information and requirements for School of Computing students pursuing the thesis option can be found on the SoC Master's Thesis Guideline page

Degree Requirements

Students in this degree program must meet the following requirements

  • Complete a minimum of 48 graduate credit hours in addition to any required introductory courses of the designated degree program.
  • Complete all graduate courses and requirements listed in the designated degree program.
  • Earn a grade of C- or better in all courses of the designated degree program.
  • Maintain a cumulative GPA of 2.5 or higher.
  • Students pursuing a second (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.
  • Students pursuing a second master's degree must complete a minimum of 48  graduate credit hours beyond their first designated degree program in addition to any required introductory courses in their second designated degree program.

Students with a GPA of 3.9 or higher will graduate with distinction.

For DePaul's policy on repeat graduate courses and a complete list of academic policies see the DePaul Graduate Handbook in the Course Catalog.