Graduate Certificate in Applied Data Science

Description

This certificate is designed to provide hands-on training in the area of applied data science.  Coursework focuses on developing knowledge and skills in critical reasoning, measurement development, evaluation, data management, data analytic software utilization, multivariate data analysis and modeling, data visualization, machine learning, data mining, cloud computing, and big data techniques.

The Applied Data Science (ADS) Certificate program is offered through the Engineering Graduate Programs office in the College of Engineering & Science.

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    Program Learning Outcomes

    Upon completion of the Applied Data Science Graduate Certificate, graduates will be able to:

    1. apply data science concepts and methods to solve problems in real-world contexts;
    2. demonstrate competencies in data mining and machine learning techniques, including classification, clustering, feature extraction, visualization, and dimensionality reduction;
    3. use statistical software packages to apply a variety of statistical techniques to diverse data types and structures;
    4. demonstrate an understanding of the strengths, limitations and assumptions of specific statistical methods;
    5. develop the ability to build and assess data-based and machine learning models as well as an understanding of model implementation in real-world settings.
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    Admission Requirements

    Applicants for the Applied Data Science Graduate Certificate must hold a bachelor's degree (or equivalent) in computer science, engineering, or a closely related field with a minimum GPA of 3.0. They must have basic experience in programming using a modern programming language such as R or Python. Each applicant must also be approved by the department chair/director and the College of Engineering & Science dean's office.