Nov 23, 2024  
2024-2025 University Catalog 
    
2024-2025 University Catalog

Applications in Data Science Certificate

Location(s): West Lafayette


About the 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 Computation (3 credits)


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


Foundation in Data Ethics and Digital Citizenship (1-4 credits)


Application Focus (6 credits)


Agriculture


Data Mine


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

Engineering


Information Studies


Polytechnic


Science


Notes


  • * - 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.

Disclaimer


The student is ultimately responsible for knowing and completing all degree requirements. Consultation with an advisor may result in an altered plan customized for an individual student. The myPurduePlan powered by DegreeWorks is the knowledge source for specific requirements and completion.

Comparative information about Purdue University and other U.S. educational institutions is also available through the College Navigator tool, provided by the National Center for Education Statistics, and through the U.S. Department of Education College Scorecard.