Some courses are not available online. Please consult faculty advisor for determining suitable alternative coursework.
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.
Students must take
1 course in applied analytics chosen among:
DSC 465 |
MGT 798 Topic: Managerial & Marketing Epidemiology**|
MKT 798 Topic: Health Care Data Analysis **|
* Course is not currently offered online. Consult faculty advisor for determining suitable alternative coursework.
** Student must take only sections of MGT 798 and MKT 798 with the topic specified above. Course is not currently offered online. Consult faculty advisor for determining suitable alternative coursework.
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:
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 Master's Research 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 Master's Research course.|
- Predictive Analytics Capstone course
CSC 672 Predictive Analytics Capstone 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 Graduate Internship 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.
ISS Forms 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 Master's Research ) 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 Master's Thesis and the transcript will show the thesis title as the course topic. |