Hospitality Concentration, Data Science (MS)

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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 450DATABASE PROCESSING FOR LARGE-SCALE ANALYTICS (FORMERLY CSC 455)4
DSC 423DATA ANALYSIS AND REGRESSION (FORMERLY CSC 423)4
DSC 424ADVANCED DATA ANALYSIS (FORMERLY CSC 424)4
DSC 441FUNDAMENTALS OF DATA SCIENCE (FORMERLY IS 467)4
Select one of the following applied analytics courses:4
DATA VISUALIZATION (FORMERLY CSC 465)
SOCIAL NETWORK ANALYSIS (FORMERLY CSC 495)
WEB DATA MINING (FORMERLY ECT 584)
INTELLIGENT INFORMATION RETRIEVAL

Advanced Courses1

Course Title Quarter Hours
HSP 561MANAGING REVENUE TO MAXIMIZE FINANCIAL PERFORMANCE4
HSP 562HOSPITALITY DISTRIBUTION CHANNELS AND CURRENT TRENDS4
HSP 563HOSPITALITY RESEARCH ANALYSIS & FINANCIAL METRICS4
DSC 540ADVANCED MACHINE LEARNING (FORMERLY CSC 529)4

Elective Courses

Students must take three (3) graduate level elective courses in the areas of statistical modeling, data mining or database technologies according to the following rules:

Student must take one (1) 500-level CNS, CSC, ECT, GAM, GPH, HCI, HIT, IS, IT, PM, SE, or TDC elective.

Students must take two (2) electives from the following list of courses:

Course Title Quarter Hours
TIME SERIES ANALYSIS AND FORECASTING (FORMERLY CSC 425)
SCRIPTING FOR DATA ANALYSIS (FORMERLY CSC 433)
DATABASE PROGRAMMING
DATA VISUALIZATION (FORMERLY CSC 465)
PROGRAMMING MACHINE LEARNING APPLICATIONS (FORMERLY CSC 478)
INTRODUCTION TO IMAGE PROCESSING
APPLIED IMAGE ANALYSIS
SOCIAL NETWORK ANALYSIS (FORMERLY CSC 495)
MONTE CARLO ALGORITHMS
COMPUTER VISION
ADVANCED MACHINE LEARNING (FORMERLY CSC 529)
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
PYTHON PROGRAMMING
WEB DATA MINING (FORMERLY ECT 584)
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
DATA WAREHOUSING
ENTERPRISE DATA MANAGEMENT
BUSINESS INTELLIGENCE AND ANALYTICS SYSTEMS
INFORMATION TECHNOLOGY CONSULTING

Capstone Options

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.