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Course Requirements

Introductory Courses

Course Title Quarter Hours
IT 403STATISTICS AND DATA ANALYSIS4
CSC 412TOOLS AND TECHNIQUES FOR COMPUTATIONAL ANALYSIS4
CSC 401INTRODUCTION TO PROGRAMMING4

 Foundation Courses

Course Title Quarter Hours
DSC 423DATA ANALYSIS AND REGRESSION4
DSC 424ADVANCED DATA ANALYSIS4
DSC 430PYTHON PROGRAMMING4
DSC 441FUNDAMENTALS OF DATA SCIENCE4
DSC 450DATABASE PROCESSING FOR LARGE-SCALE ANALYTICS4
Select one of the following applied analytics courses:4
DATA VISUALIZATION
SOCIAL NETWORK ANALYSIS
INTELLIGENT INFORMATION RETRIEVAL

Advanced Courses1

Course Title Quarter Hours
HSP 561MANAGING REVENUE TO MAXIMIZE FINANCIAL PERFORMANCE4
HSP 562HOSPITALITY DISRUPTORS, CURRENT TRENDS, AND THEIR IMPLICATIONS FOR LEADERS4
HSP 563HOSPITALITY RESEARCH ANALYSIS & FINANCIAL METRICS4
DSC 540ADVANCED MACHINE LEARNING4

Elective Courses

Students must take eight (8) Credit Hours of graduate level elective courses in the areas of statistical modeling, data mining or database technologies. These courses must be selected from the following list:

Course Title Quarter Hours
SPECIAL TOPICS IN ORGANIZATIONAL COMMUNICATION
DATABASE PROGRAMMING
INTRODUCTION TO IMAGE PROCESSING
APPLIED IMAGE ANALYSIS
MONTE CARLO ALGORITHMS
COMPUTER VISION
SPATIAL DATABASES & GEOGRAPHIC INFORMATION SYSTEMS
MINING BIG DATA
INTELLIGENT INFORMATION RETRIEVAL
COMPUTATIONAL ADVERTISING
NEURAL NETWORKS AND DEEP LEARNING
TOPICS IN ARTIFICIAL INTELLIGENCE
TOPICS IN DATA ANALYSIS
TIME SERIES ANALYSIS AND FORECASTING
SCRIPTING FOR DATA ANALYSIS
PYTHON PROGRAMMING
DATA VISUALIZATION
PROGRAMMING MACHINE LEARNING APPLICATIONS
SOCIAL NETWORK ANALYSIS
WEB DATA MINING
HEALTH DATA SCIENCE
ADVANCED MACHINE LEARNING
GEOGRAPHIC INFORMATION SYSTEMS (GIS) FOR COMMUNITY DEVELOPMENT
GEOGRAPHICAL INFORMATION SYSTEMS (GIS) FOR SUSTAINABLE URBAN DEVELOPMENT
DESIGNING FOR VISUALIZATION
INFORMATION VISUALIZATION AND INFOGRAPHICS
BIG DATA AND NOSQL PROGRAM
INFORMATION TECHNOLOGY CONSULTING
DATA WAREHOUSING
ENTERPRISE DATA MANAGEMENT
BUSINESS INTELLIGENCE AND ANALYTICS SYSTEMS

Capstone Options

Four (4) Credit Hours are required to satisfy the capstone requirement. Students have the option of completing a real world Data Analytics Project, or completing the Predictive Analytics Capstone course, or participating in a Data 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). Students 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 four (4) credit hours taken in two (2) consecutive quarters (two (2) credit hours for two (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
    • DSC 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 practicum 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 hour course CSC 698 and the transcript will show the thesis title as the course topic.