Data Science (Certificate)

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The data science certificate is intended for students interested in a variety of career fields, including statistics, business and network administration, or for those who intend to pursue graduate and professional schools. The strategic combination of computing and statistics will develop students' expertise in the design and analysis of data.

The data science certificate combines the strengths of database skills with interdisciplinary computational statistics. The certificate program provides students with an understanding of, as well as hands-on experience in, computational and statistical methods to extract insights from complex datasets. In particular, the program includes courses that cover key techniques for the different stages of the data science process: data collection, data processing for small and big data, data cleaning, exploratory data analysis, data visualization, predictive modeling with machine learning techniques, and statistical modeling.

Program Offered

Data Science (Certificate)

Offered by
New College of Interdisciplinary Arts & Sciences


Major Map

A major map outlines the degree’s requirements for graduation.

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Application Requirements

All students are required to meet general university admission requirements:

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Program Requirements

The certificate in data science consists of a minimum of 15 upper-division credit hours. All courses used to satisfy requirements for the certificate must be passed with a "C" (2.00) or better.
Required Courses -- 9 credit hours
Electives -- 6 credit hours
Depending on a student's undergraduate program of study, prerequisite courses may be needed in order to complete the requirements of this certificate.

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