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Data Analytics & Applied Social Research Program

About

Data Analytics and Applied Social Research is a specialized field that combines statistical analysis with social science research methodology. We train students to produce and interpret data to academic standards, but with an orientation towards real-world applications in occupational fields like marketing, communications, information technology, human resources management, healthcare administration, educational testing, program evaluation, and much else.

How to Apply

Master's Program

Applications are submitted through the Office of graduate Submissions. Please apply online. Applications must be submitted by August 1st for Fall admission and January 15th for Spring admission.

Application Requirements:

  • Minimum 3.0 cumulative GPA. to apply  
  • Three recommendations from past professors, work supervisors, or other people familiar with your personal potential and work ethic.
  • A statement of purpose,in which you explain how our program fits in your larger career plans.
  • A application form
  • Your TOEFL score, if you did not earn your undergraduate degree in residence at a university in an English-speaking country.
  • The GRE is not required, but can be submitted in support of your application.

For further information, contact: 

Ryan Sperry (ryan.sperry@qc.cuny.edu)

Acecelerated Master's

Begin working towards your Master’s during your undergraduate studies.

For further information, contact: 

Ryan Sperry (ryan.sperry@qc.cuny.edu)

Undergrad Minor

Click here for details of our major program curriculum.

To declare your minor:

  1. Fill out the Minor Approval Form (click here to download) 
  2. Fill out the Declaration Form (click here to download).
  3. Email the two completed and signed forms to Professor Joseph Cohen at joseph.cohen@qc.cuny.edu.  Prof. Cohen will follow up to arrange an advising appointment.  Do not send incomplete or unsigned forms.
  4. Prof. Cohen will remit a signed copy, which you will them submit our signed Declaration to QC Hub for processing at: https://support.qc.cuny.edu/support/home

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