Apr 15, 2024  
2022-2023 University Catalog 
2022-2023 University Catalog [ARCHIVED CATALOG]

Applications in Data Science Certificate

Data science involves the development or application of statistical, mathematical and algorithmic techniques or tools with an aim to extract knowledge from large-scale and/or complex datasets and communicate findings. 

The Applications in Data Science Undergraduate Certificate program’s learning outcomes will consist of the following:

1. Describe the stages of the data life cycle (data acquisition, organization, curation, analysis, preservation, and communication) and create an effective data management and data analysis plan

2. Develop a foundation in statistical, mathematical and algorithmic techniques or tools for the analysis of large-scale datasets

3. Apply statistical, mathematical and algorithmic techniques or tools in order to extract knowledge and insights from large-scale datasets

4. Interpret results from large-scale data analysis and communicate findings

5. Identify ethical and social implications of data-science-driven decision making and policies and one’s own ethical and social responsibilities when working with data

Requirements for the Certificate (16 credits)

Core Courses (10 credits)

Foundation in Statistical Methods (3 credits)

Foundation in Data Literacy, Management, and Analytics (3 credits)

Application Focus (6 credits)


Data Mine

To fulfill the Application Focus, the courses listed in the Data Mine section must be taken as part of the Data Mine.



  • * - Course requires approval before it can be used for this certificate (special topics, special assignments, research, etc). For a list of course titles already approved, click here.
  • ** - Project must be approved by the College Representative on the Applications In Data Science Curriculum Committee.
  • Each course can only be used once toward certificate completion; cannot count toward multiple areas.
  • A minimum of 6 credits must be in coursework outside the student’s major requirements.
  • A grade of C- or better must be earned in any course used to fulfill the certificate. Students may also use a Pass (P) in any course used to fulfill the certificate.
  • Students with a Data Science major are not permitted to receive the Applications In Data Science Certificate.
  • Transfer credit brought in as an equivalent course is allowed to apply to the certificate requirements; undistributed transfer credit cannot be applied.

Prerequisite Information

For current pre-requisites for courses, click here.


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