MS in Predictive Analytics

Master of Science Fall 2012-2013

Predictive Analytics

Graduates of the MS in Predictive Analytics program will obtain a variety of skills required for a career in predictive analytics, including the ability to analyze large datasets and to develop modeling solutions to support decision making, a good understanding of the fundamental principles of marketing and customer relationship management, and communication skills to  present results effectively to a non-technical business audience. The program aims to prepare students with the required qualifications to become "data mining analysts/engineers" or "predictive modelers".

Learn more about admission to this program.

Online Learning Options
This degree can be completed entirely online. Some courses in this degree are available for review and playback via the CDM Course Online playback system (COL) . If a course is COL-enabled, any student registered in the course has access to the course playback. Students are strongly encouraged to utilize the COL resource wherever available. Students who wish to complete this degree entirely online need to consult with their faculty advisor to make suitable substitutions for the prerequisite and marketing courses that are not offered online, as noted in the program requirements below. For more information on online learning at CDM visit the Online Learning section. Information on online delivery of Marketing courses can be found on the Kellstadt Online Learning page. ​
Course Legend

Curriculum Requirements

Prerequisite Phase
The goal of the prerequisite phase is to give students the background necessary for starting the graduate program. These prerequisite phase requirements can be fulfilled in one of three ways:
  • The student takes the course and earns a grade of B- or higher
  • The student takes a Graduate Assessment Exam (GAE) to test out of the course
  • The faculty advisor waives the course because of equivalent academic background or work experience.

All students are blocked from enrolling in Graduate Phase courses prior to completing their prerequisites. Students must submit an online Change of Status request (through myCDM) when the Prerequisite Phase is completed to inform the Student Services offices that the block can be removed.

IT 223
MAT 150*
MAT 151*
* Courses are not currently offered online. Consult your advisor for determining suitable alternative coursework.
School of Computing Foundation Courses
CSC 451
CSC 423
CSC 424
IS 567
Choose a course in advanced analytics from among:
CSC 495
OR ECT 584
OR CSC 575
Marketing Department Foundation Courses
MKT 555
MKT 530
MKT 534*
* Course is not currently offered online. Consult your advisor for determining suitable alternative coursework.
School of Computing Advanced electives
Students must choose
  • 1 School of Computing 500-level elective course
  • 2 courses from the following list:
  • Data Mining and Data Analysis
    CSC 425
    ECT 584
    CSC 495*
    CSC 555
    CSC 575
    CSC 578
    CSC 598
    CSC 671
    CSC 521*
    * these courses are recommended only to students with strong programming background
  • Image Analysis and Visualization
    CSC 481
    CSC 482
    GPH 465
    GPH 565
    GEO 441
    OR MPS 604
  • Database Technologies
    CSC 453*
    CSC 452*
    CSC 543*
    * these courses are recommended only to students with strong programming background
  • Business Intelligence
    IS 574
    IS 549
    IS 578
Marketing Department Advanced electives
Student must choose 1 course from the following list:
MKT 529
MKT 595
MKT 798
Project Course
CSC 695
or CSC 697

Degree Requirements

Students in this degree program must meet the following requirements:
  • complete a minimum of 52 graduate credit hours (generally 13 courses) beyond the Prerequisite Phase
  • earn a grade of B- or better in each Prerequisite Phase course
  • earn a grade of C- or better in all graduate courses beyond the Prerequisite Phase
  • maintain a graduate level GPA of 2.50 or higher while pursuing their degree
  • achieve a graduate GPA of 2.50 or higher at the completion of all other requirements
  • students pursuing their second master's degree must complete 52 graduate credit hours (generally 13 courses) beyond their first master's degree.

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.