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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Data Science
Area of study
Information and Communication Technologies | Social Sciences
Course Language
English
About Program

Program Overview


Human-Centered Data Science

Certificate Awarded

Advanced Graduate Certificate, Human-Centered Data Science


Program Director

Susan E. Brennan, Psychology B-152


Co-Directors

  • C.R. Ramakrishnan, Computer Science 233
  • Wei Zhu, Math Tower P-138

Graduate Certificate Coordinator

Kristen Kalb-DellaRatta, Psychology B-133


Program Overview

The Advanced Certificate in Human-Centered Data Science (HCDS) provides interdisciplinary training to PhD students enrolled in Stony Brook University's Applied Mathematics & Statistics, Computer Science, Economics, Linguistics, Neurobiology & Behavior, Political Science, Psychology, and Sociology programs. The HCDS combines statistical training in artificial intelligence and machine learning techniques with human-centered STEM training to enable students to bridge data science and human-centered science.


Admission Requirements

To enroll in the HCDS certificate, students must be admitted and enrolled full-time in a PhD program in one of the following departments: Applied Mathematics & Statistics, Computer Science, Economics, Linguistics, Neurobiology & Behavior, Political Science, Psychology, or Sociology. Students must receive permission to enroll from their home program's Graduate Program Director and from the Graduate Certificate Director(s) and Coordinator.


Certificate Requirements

This certificate requires 12 credits (four courses): two core DS/CS courses and two electives.


DS/CS Core

  • CSE 582 - Computer Science Fundamentals: Data Structures and Algorithms (3 credits)
  • Alternative:
    • AMS 542 - Analysis of Algorithms (3 credits)
    • OR
    • CSE 548 - Analysis of Algorithms (3 credits)
    • AMS 561 - Introduction to Computational Science (3 credits)
    • OR
    • DCS 521 - Introduction to Computational and Data Science (3 credits)

Machine Learning

  • AMS 580 - Statistical Learning (3 credits)
  • Alternative:
    • AMS 520 - Machine Learning in Quantitative Finance (3 credits)
    • OR
    • CSE 512 - Machine Learning (3 credits)

Electives

Two electives are required, chosen from the HCDS course catalog; at least one must be outside of the student's home department and not cross-listed. Courses outside this list may be used to satisfy the electives requirement with prior permission of this certificate program's director.


Additional Requirement

All students enrolled in the HCDS Certificate must complete the online Citi Training Module, "Human Research," (for 0 credits; students will receive a certificate of completion to document this requirement).


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