Data Analytics & Applied Social Research at Queens College
About
We teach students to leverage statistical analysis and social science research methodology skills to produce real-world results. Our students move on to careers in marketing, media, government, technology, finance, healthcare, education, and other sectors.
Our recent graduates work in firms as varied as McKinsey & Company, the National Center for Education Statistics, Oracle, Nielsen, the New York Times, the National Audubon Society, and several tech startups. Whether we use our skills for business, government, or non-profit causes, our discipline involves blending information technology and social science to help solve real-world problems.
Meet Brett Turner. While at Queens College, Brett brought the power of data analytics to the Queens Hall of Science. Today, Brett is a public health researcher for the State of Massachusetts and is working towards his doctorate at Harvard.
Our Programs
Master's Program in Data Analytics & Applied Social Research
Our Master’s Program teaches advanced data analysis and research methods. All classes meet on weekday evenings once a week. You must complete 35 credits to graduate from the program.
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.
- An 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.
TO APPLY: Applications are submitted through the Office of Graduate Admissions. Please apply online. Applications must be submitted by August 1st for Fall admission and January 15th for Spring admission. Apply Now!
For more information or to make an appointment contact Prof. Ryan Sperry
Accelerated Master's Program
Save time and money by combining your undergraduate studies with a Master’s degree in Data Analytics and Applied Social Research. The Accelerated Master’s program enables students to take four MA courses for joint credit toward both their Sociology BA and Data Analytics and Applied Social Research MA requirements. Students with an overall GPA of at least 3.5 and a grade of B+ or better in DATA 205 and DATA 212 (or equivalent) may take as many as four of the following graduate courses as electives in the Sociology BA:
- DATA 710 Basic Analytics (4 credits)
- DATA 716 Professional Writing and Communication (3 credits)
- DATA 754 Applied Social Research I (3 credits)
- Other Substantive Topics in Sociology Courses (3 credits)
Students may opt out at any time. Students will receive their BA degrees upon successful completion of all undergraduate requirements as outlined in the Undergraduate Course Bulletin. Students will receive their MA degree upon successful completion of the remaining graduate requirements as outlined in the Graduate Course Bulletin.
TO APPLY: Accelerated Master’s Program
Log into the Accelerated Degrees Online Application System using your QC username and password (CAMS account credentials, not CUNYfirst) to submit an application.
For more information or to make an appointment contact Prof. Ryan Sperry
Undergraduate Minor in Data Analytics
Add valuable data analysis and research methodology skills to your professional repertoire.
TO DECLARE YOUR MINOR:
- Fill out the Minor Approval Form (click here to download)
- Fill out the Declaration Form (click here to download).
- 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.
- 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
For more information or to make an appointment contact Prof. Peter Ore peter.ore@qc.cuny.edu