Applications in Data Science Undergraduate Certificate Program

Add a data science certificate to any major in as few as six courses

There is a data explosion throughout society and virtually every job requires using data in decision-making. A certificate in data science gives you an advantage in the job market and throughout your career.

Why Data Science?

  • Employers are hiring people who can transform data into information.
  • The data science certificate program offers training in both foundations and applications of data science for students in all colleges and majors.
  • Professionals trained in data science have the training and curiosity to make discoveries and decisions in a world where data is constantly being produced, communicated and analyzed.
  • This certificate is accessible to students at different quantitative skill levels.
  • Part of Purdue's campus-wide data science ecosystem, is coordinated by the Integrative Data Science Initiative Curriculum Committee.

The Program

  • Data science involves the development or application of statistical, mathematical and algorithmic techniques or tools with an aim to extract knowledge from large-scale datasets and communicate findings.
  • Students who earn this certificate will have a foundation in statistical, mathematical and computational techniques for the analysis of large-scale or complex datasets and will apply their skills to different domains.
  • You will be able to interpret results from large-scale data analysis and communicate findings, and recognize and evaluate ethical and social implications of data science.

Requirements

  • Requirements can be met with as few as six courses.
  • You can choose your own path and tailor the program to your specific interests.
  • There are dozens of courses to choose from. See the complete listing of all offerings by college.
  • Core Courses - 10 credits
    • Foundation in Statistical Methods - Choose One (3 credits)
    • Foundation in Computation - Choose One (3 credits)
    • Foundation in Data Literacy, Management, and Analytics - Choose One (3 credits)
    • Foundation in Data Ethics and Digital Citizenship - Choose One (1-4 credits)
  • Application Focus - 6 credits
  • A minimum of 6 credits must be in coursework outside of the student’s major requirements. 
  • A grade of C- or better or 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.
  • Transfer credit brought in as an equivalent course is allowed to apply to the certificate requirements; undistributed transfer credit cannot be applied.
  • Students with a Data Science major are not permitted to receive the Applications in Data Science Certificate.
Purdue Course Catalog: Applications in Data Science Certificate information

Frequently Asked Questions

How do I add this certificate program to my plan of studies?

Your academic advisor can help you register you for the program.

Can I register from any major?

Yes! There are no prerequisites to get registered. See program requirements above. Data Science majors are not allowed to obtain this certificate.

Do you have a flyer to share?

Yes, download the flyer here (PDF).

Who do I contact for more information?

You can start with your Academic Advisor or send an email to data.science.cert@purdue.edu.

Request revisions to requirements

Requests for revisions to program requirements may be submitted only by Academic Advisors through this form. Requests will be reviewed by the IDSI Curriculum Committee.

Please include the following information:

  1. Course Subject and Course Number: for example, STAT 35000
  2. Course Title: for example, Intro To Statistics
  3. Recommended outcome to be satisfied
  4. Syllabus, course description (in PDF format)
  5. Course Prerequisites: if none, state none
  6. Advisor Name
  7. Advisor Email
  8. Advisor College

Integrative Data Science Initiative Curriculum Committee

  • Peristera Paschou, College of Science
  • John Springer, Purdue Polytechnic
  • Prudence Miller, College of Science Advising
  • Alina Alexeenko, College of Engineering
  • Dennis Buckmaster, College of Agriculture
  • Natasha Duncan, Honors College
  • Michael Fosmire, Purdue University Libraries
  • Ellen Gundlach, The Data Mine
  • Jeffrey Holland, College of Agriculture
  • Milind Kulkarni, College of Engineering
  • Sorin Matei, College of Liberal Arts
  • Lela Mixon, Exploratory Studies
  • Malathi Raghavan, College of Veterinary Medicine
  • Jenna Rickus, Office of the Provost
  • Charlene Sullivan, Krannert School of Management
  • Susie Swithers, College of Health and Human Sciences
  • Joseph Thomas, College of Pharmacy
  • Anne Traynor, College of Education
  • Mark Daniel Ward, College of Science

The program is coordinated by the IDSI Curriculum Committee. For more information, please contact data.science.cert@purdue.edu.