Stony Brook University Stony Brook University 8 courses 12 total credits
Certificate Awarded: Advanced Graduate Certificate, Human-Centered Data Science Program Director: Susan E. Brennan, Psychology B-152, 631-632-7815 Co-Directors: C.R. Ramakrishnan, Computer Science 233, 631-632-8218 Wei Zhu, Math Tower P-138, 631-632-8374 Graduate Certificate Coordinator: Kristen Kalb-DellaRatta, Psychology B-133, 631-632-6098 Program Website The overarching goal of the Advanced Certificate in Human-Centered Data Science (HCDS) is to provide interdisciplinary training to PhD students who are currently 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. Students from the human-centered science disciplines will acquire cutting-edge skills in applying data science, machine learning, and other computational techniques to human-centered problems within their own disciplines. Students from data science disciplines will acquire methodological skills and content grounding from graduate coursework in human-centered sciences, in order to understand the ethical and practical constraints and limitations associated with data collected from human beings. This certificate will require 12 credits (4 courses): 2 core data science or...
| Total Credits | 12 credits |
Algorithms
| Code | Course Title | Credits |
|---|---|---|
| CSE 582 | Computer Science Fundamentals: Data Structures and Algorithms | 3 |
Alternative
| Code | Course Title | Credits |
|---|---|---|
| AMS 542 or CSE 548 | Analysis of Algorithms or Analysis of Algorithms | 3 |
| AMS 561 or DCS 521 | Introduction to Computational Science or Introduction to Computational and Data Science | 3 |
Machine Learning
| Code | Course Title | Credits |
|---|---|---|
| AMS 580 | Statistical Learning | 3 |
Alternative
| Code | Course Title | Credits |
|---|---|---|
| AMS 520 or CSE 512 | Machine Learning in Quantitative Finance or Machine Learning | 3 |
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs — written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.