MS in Predictive Analytics - Hospitality Concentration

Master of Science 2016-2017

Predictive Analytics


Hospitality Concentration


Degree Requirements
Students in this degree program must meet the following requirements:
  • Complete a minimum of 52 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 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 52 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.

Course Legend
Course Requirements

Some courses are not available online. Please consult faculty advisor for determining suitable alternative coursework.

Introductory Courses
No Introductory course (a course numbered 400 through 419) 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.
  • The student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.
IT 403
CSC 412
CSC 401
Foundation Courses
CSC 455
CSC 423
CSC 424
IS 467

Students must take 1 course in applied analytics chosen among:
CSC 465
CSC 495
ECT 584
CSC 575
Advanced Courses
HSP 561*
HSP 562*
HSP 563*
CSC 529
* Course may not be currently offered online. Consult faculty advisor for determining suitable alternative coursework.
Elective Courses
Students must take 3 graduate level elective courses in the areas of statistical modeling, data mining or database technologies according to the following rules:

Students must take 1 500-level CNS, CSC, ECT, GAM, GPH, HCI, HIT, IS, IT, PM, SE, or TDC elective.

Students must take 2 courses among the following:
CSC 425
CSC 433
CSC 452
CSC 465
CSC 478
CSC 481
CSC 482
CSC 495
CSC 521
CSC 529
CSC 543
CSC 555
CSC 575
CSC 576
CSC 578
CSC 594
CSC 598
ECT 584
GEO 441
GEO 442
GPH 565
HCI 512
IPD 451
IS 549
IS 574
IS 578
Capstone Options
Students have the option of completing a real world Data Analytics Project, or completing the Predictive Analytics capstone course, or participating in an Analytics Internship or completing a Master's Thesis to fulfill their Capstone requirement.
  • Data Analytics Project
    The real data analytics project is for students who are interested in working in a small team on a research project under the supervision of a CDM faculty. A list of available projects is published on the dampa center website (http://dampa.cdm.depaul.edu). Student who are interested in proposing their own data analytics project are encouraged to contact a CDM faculty member teaching analytics courses as soon as possible. Students must enroll in CSC 695 for a total of 4 credit hours taken in two consecutive quarters (2 credit hours for 2 quarters) to satisfy the capstone requirement. The faculty who supervises the project will initiate enrollment in the CSC 695 course.
  • Predictive Analytics Capstone course
    CSC 672 course offers the opportunity of working on an analytics project in a more structured class format. Students enrolled in the courses will be working in teams on a data analytics project under the supervision of the course instructor.
  • Analytics Internship
    An internship offers students the opportunity to integrate their academic experience with on-the-job training in an analytics related field. 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 analytics. 2) International Students must obtain the appropriate practical training form and meet with an advisor in the CDM Academic Center for approval. (http://oiss.depaul.edu/Requests/Forms/index.asp) 3) Login to MyCDM and click the “MyInternships” link on the left to start the course enrollment process.
  • Master's Thesis
    A student who has made an original contribution to the area (typically, through work done by CSC 695) may choose to complete a Master's Thesis. The student and the student's research advisor should form a Master's Thesis Committee of 3 faculty. The student will need to submit to the committee a thesis detailing the results of the research project. After a public defense, the committee will decide whether to accept the thesis. In that case, the student will be allowed to register for the 0 credit course CSC 698 and the transcript will show the thesis title as the course topic.