MS-In-Predictive-Analytics-Computational

Master of Science 2013-2014

Predictive Analytics

Computationa​l Methods Concentration
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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.
    *53 graduate credit hours required for MS Information Systems.

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 Requirements
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 Statistics and Data Analysis
CSC 412 Tools and Techniques for Computational Analysis
CSC 401 Introduction to Programming
Foundation Courses
CSC 455 Database Processing for Large-Scale Analytics
CSC 423 Data Analysis and Regression
CSC 424 Advanced Data Analysis
IS 567 Knowledge Discovery Technologies

Students must take 1 course in applied analytics chosen among:
CSC 495 Social Network Analysis
ECT 584 Web Data Mining for Business Intelligence
CSC 575 Intelligent Information Retrieval
Advanced Courses
CSC 478 Programming Data Mining Applications
CSC 555 Mining Big Data
CSC 529 Advanced Data Mining
Students must take 1 course among the following:
CSC 521 Monte Carlo Algorithms
CSC 433 Scripting for Data Analysis
CSC 578 Neural Networks and Machine Learning
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 CDM elective. ANI, DC, DMA, TV, and VFX courses do not qualify.

Students must take 2 courses among the following:
CSC 425 Time Series Analysis and Forecasting
ECT 584 Web Data Mining for Business Intelligence
CSC 495 Social Network Analysis
CSC 433 Scripting for Data Analysis
CSC 478 Programming Data Mining Applications
CSC 529 Advanced Data Mining
CSC 575 Intelligent Information Retrieval
CSC 521 Monte Carlo Algorithms
CSC 481 Introduction to Image Processing
CSC 482 Applied Image Analysis
GPH 465 Survey of Visualization Applications
GPH 565 Designing for Visualization
CSC 453 Database Technologies
CSC 452 Database Programming
CSC 543 Spatial Databases and Geographic Information Systems
GEO 441 Geographic Information Systems (gis) for Community Development
CSC 598 Topics in Data Analysis
IS 549 Data Warehousing and Data Mining
IS 574 Business Intelligence
IS 578 Information Technology Consulting
MKT 555 Decisions in Marketing Management
MKT 530 Customer Relationship Management
MKT 534 Analytical Tools for Marketers
MKT 595 Internet and Interactive Marketing
Capstone
CSC 695 Master's Research *
or CSC 697 Graduate Internship
*Note: CSC 695 should be taken in two consecutive quarters, 2 credit hours each quarter.