MS in Data Analytics from CUNY: Online and Affordable

Learn about the affordable, fully online, MS in Data Analytics at CUNY SPS that prepares graduates to manage and analyze large amounts of data - March 11 info session.

Big data has emerged as the driving force behind critical business, organizational, and public policy decisions. All aspects of data intelligence - from data analysis to predictive analytics, machine learning, statistical modeling, and beyond - are in demand more than ever.

CUNY Online MS in Data Analytics at CUNY SPS

The CUNY School of Professional Studies (CUNY SPS) offers a fully online M.S. in Data Analytics degree program that prepares graduates to manage, identify patterns and draw insights from large amounts of data. Students in the program:
  • Develop qualitative insights from quantitative data and present their work in a business context;
  • Create descriptive and predictive models that help organizations make better strategic and operational decisions;
  • Discover complex relationships in large and disparate data sets using thorough exploratory visualization;
  • Explore a variety of relevant problems in marketing, sales, finance, healthcare, and social networks;
  • Work with current tools such as R, Python, MongoDB, Hadoop, Tableau, and D3.

Other differentiating characteristics of the program include:
  • Project-based courses taught by industry practitioners who are active in the data science community; all with startup experience;
  • Small class size of 25 students or less;
  • The affordable in-state tuition rate of $405 per credit for all students regardless of residence.


CUNY SPS invites you to attend an online information session on Tuesday, March 11th at 6 PM EDT to learn more about the online M.S. in Data Analytics program.

Click here, email, or call 212.652.CUNY to learn more about the program and register for the information session.

Additionally, for those interested in pursing an undergraduate degree, CUNY SPS has just launched an online B.S. in Information Systems for which an online information session will be held on Tuesday, March 11th at 12pm EDT. Click here to learn more about this program.