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

DSC 450

DSC 423

DSC 424

DSC 441

Students must take 1 course in applied analytics chosen among:

DSC 465

DSC 480

DSC 484

CSC 575

MKT 555

MKT 530

MKT 534

Students must take 1 course among the following:

MKT 529

MKT 595

MKT 798 Topic: Health Care Data Analysis

MKT 570

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:

DSC 425

DSC 430

DSC 433

CSC 452

DSC 465

DSC 478

CSC 481

CSC 482

DSC 480

CSC 521

CSC 528

DSC 540

CSC 543

CSC 555

CSC 575

CSC 576

CSC 578

CSC 594

CSC 598

DSC 484

GEO 441

GEO 442

GPH 565

HCI 512

IPD 451

IS 549

IS 574

IS 578

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

  DSC 672 (Formerly 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 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.