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DATA SCIENCE & DIGITAL HUMANITIES AT QUEENS COLLEGE

All corners of society have been impacted by the digital revolution, and the digital world is now intertwined with nearly every person's life. Data surround us where we work, live, and play. But what is data? And why is it important?

While the terms 'data' and 'information' are often used interchangeably,  in the context of computing, data refers to distinct pieces of digital information in its unprocessed or unorganized form. Because data are not easily interpreted, we rely on software and machines to help us process and understand data. Hence, Data Science and Digital Humanities constitute the ways in which use technology to help us glean insight and knowledge from data.

Data literacy isn’t just for students hoping to become data scientists. Understanding, analyzing, and interpreting data are useful skills in any field. Whether you plan to enter the field of business, academic research, medicine, education or government, data is likely to play a big role. Every field has big questions, and every field now has access to big sets of data. Our collaborative programs emphasize the skills, tools, and techniques you need to solve real-world problems using the power of data and digital technology. The applications are limitless. What do you want to do?


  • Do you want to be a Data Scientist?

    A data scientist’s job is to arrange undefined sets of data for analysis. This can include writing algorithms or building statistical models. If you have interests in coding and analysis and like the idea of supporting evidence-based decision-making, our Mathematics: Data Science and Statistics Track (BA) may be for you.

  • Do you want to be data literate in a different field?

    The Minor in Data Analytics (20 credits) provides the foundational skills for data literacy as defined by the American Association of College and Universities, and the key competencies identified by the Business Higher Education Forum Task Force for Data Science and Analytics as essential for “data-enabled” graduates, which are in high demand in today’s data-rich job market.

    Course requirements include:

    • DATA 235. Data and Society
    • DATA 205. Introductory Analytics
    • DATA 212W. Research Methods
    • DATA 306. Data Modeling
    • DATA 333. Data Processing, Management, and Visualization
    • DATA 334. Applied Research

     
    To learn about our other courses in data-focused fields, see our  Courses page.

  • Do you want to pursue graduate study in data analytics?

    Like data scientists, data analysts use data to generate meaningful insights that help to solve problems. However, data analysts tend to focus less on machine learning and algorithmic programming, and more on the analysis of data and the communication of findings revealed by analysis. Students interested in careers in data-focused fields, and students interested in solving real-world problems using data, can pursue the Data Analytics and Applied Social Research (MA), which emphasizes research methodology, data analysis, and data visualization using social data - the qualitative and quantitative techniques and processes used to derive actionable information from large data sets.

  • Do you want to learn more about data science and digital humanities?

    To learn more about data literacy and the courses we offer in Data Science and Digital Humanities, see our Courses page.

    To learn more about data and some of its applications, see our Learning Resources page.

    If you have questions about data or data-related careers, see our Frequently Asked Questions page.


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