Mar 29, 2024  
2020-2021 University Catalog 
    
2020-2021 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 - Choose One (3 credits)


Application Focus (6 credits)


Students need to complete six (6) credit hours in courses concentrated on applications of data science related knowledge.

Agriculture


Data Mine


To fulfill the Application Focus, these STAT courses must be taken as a Data Mine Corporate Partners course. The Application Area will depend on the Corporate Partner.

Notes


  • * - Course requires approval before it can be used for this certificate (special topics, special assignments, research, etc).
  • *** - Course taken in The Data Mine Learning Community as 1 credit seminar; must be taken 3 times to fulfill this requirement.
  • A minimum of 6 credits must be in coursework outside the student’s program.

Prerequisite Information


For current pre-requisites for courses, click here.

Disclaimer


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