Human-Centered Data Sciences Advanced Certificate

LEARNING OBJECTIVES

1. Develop skills in algorithmic thinking and implementation.

2. Apply multivariate statistical analysis and machine learning (ML) methods to data-intensive problems.

3. Develop expertise in research topics and empirical methods in at least one human-centered science domain.

4. Gain certification in the ethical treatment of human subjects.

SUCCESS RATES

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4-year graduation rate

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Avg. years to degree

MEDIAN EARNINGS

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10 years after graduation

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5 years after graduation

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1 year after graduation

PLACEMENT2 years after graduation

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Working in New York

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Continuing Education

Notes

Completion rates: the percent of students entering the certificate program any time during the academic year and completing by May 31 four years later. Methodology adheres to guidelines from the AAU Data Exchange doctoral completion rates and means that spring entrants have less time to complete. Average of ten most recent reporting years (2014-15 through 2023-24). Years to certificate: the average number of years it takes a student to complete the selected program. Average of the three most recent completion years (2020-21, 2021-22, 2022-23). Earnings: SUNY Employment Outcomes Dashboard. Data Forthcoming. Working in NY State: SUNY Employment Outcomes Dashboard. Data Forthcoming.