Data and Computational Science Advanced Certificate

LEARNING OBJECTIVES

1. Upon completion of the degree, students should be able to perform basic scientific programming.

2. Upon completion of the degree, students should be able to understand basic operating systems and computer architectures.

3. Upon completion of the degree, students should be able to understand computer algorithms and data structures.

4. Upon completion of the degree, students should be able to perform parallel computing including performance analysis.

5. Upon completion of the degree, students should be able to understand numerical algorithms for linear, integral and differential equations and optimization.

6. Upon completion of the certificate, students should be able to understand data science including machine learning and elementary statistical and probabilistic approaches.

7. Upon completion of the degree, students should be able to communicate effectively across disciplines.

SUCCESS RATES

51.4%

4-year graduation rate

1.30

Avg. years to degree

MEDIAN EARNINGS

N/A

10 years after graduation

N/A

5 years after graduation

N/A

1 year after graduation

PLACEMENT2 years after graduation

N/A

Working in New York

N/A

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.