Cornell Bowers Data Science Minor
MAY 2026 GRADUATES can apply to the minor no later than May 31, 2026 at 11:59 PM. Applications after this deadline will not be accepted.

The Data Science minor is open to all Cornell undergraduate students except information science minors with a Data Science concentration. 

Learning Outcomes:
  1. Build core, foundational skills and knowledge in statistical techniques and computer programming
  2. Implement these skills in disciplinary settings that align with their chosen areas of study
  3. Conduct data analysis and interpretation
  4. Effectively synthesize, present and communicate their results
  5. Understand the broader contexts and impact of big and complex data in scholarship and in our society
To Complete the Minor:

Please submit this form only after you have completed all of the following courses or once you are in your final semester of fulfilling these requirements.

Six courses are required in total for the minor:

1 COURSE from the Core Statistics Category
1 COURSE from the Core Computer Programming Category
4 COURSES from the following categories:
  • Data Analysis
  • Domain Expertise
  • Big Data Ethics, Policy and Society
  • Data Communication
At least one course should be from each of three different categories, while the fourth can come from any category.

Double Counting Instructions:
  • No more than two courses can be concurrently used to meet core requirements for a major, though they may be used to satisfy elective requirements.
  • Students who are majoring in a subject that requires an introductory programming course (such as CS 1110), must satisfy “Core Computing” with a more advanced programming course.
Students may use one course from a study abroad semester for minor requirements, if approved by the appropriate Cornell department for course equivalency.

All minor coursework must be taken for a letter grade. 
May/August 2026 Graduates: Students must earn a "C-" or above in minor coursework.
December 2026 (or later) Graduates: Students must earn a "C" or above in minor coursework.
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First Name *
Last Name *
Preferred First Name
Cornell Email *
Cornell ID Number *
Local/Cell Phone *
Major *
Major Advisor's Name *
Major Advisor's Email *
CORE STATISTICS (Select ONE)

You must have completed the course at the time of form submission, or be enrolled in the course.
 *
CORE COMPUTING (Select ONE)

You must have completed the course at the time of form submission, or be enrolled in the course.
 *
Please select FOUR COURSES from the following categories:

o Data Analysis
o Domain Expertise
o Big Data Ethics, Policy and Society
o Data Communication

For these four courses:

o At least one course should be from each of three different categories, while the fourth can come from any category.

DATA ANALYSIS 
See directions above!

You must have completed the course at the time of form submission, or be enrolled in the course.
BIG DATA ETHICS, POLICY & SOCIETY
See directions above!

You must have completed the course at the time of form submission, or be enrolled in the course.
DATA COMMUNICATION
See directions above!

You must have completed the course at the time of form submission, or be enrolled in the course.
DOMAIN EXPERTISE
See directions above!

You must have completed the course at the time of form submission, or be enrolled in the course.
I have read the following information:

No more than two courses can be used concurrently to meet core requirements for a major, though they may be used to satisfy elective requirements. 

Students who are majoring in a subject that requires an introductory programming course (such as CS 1110), must satisfy “Core Computing” with a more advanced programming course.
 *
Required
I have completed all selected courses at the time of form submission, or am currently enrolled in the courses. *
Required
I have grades of C or above in all classes being used for the minor. I did/will not take these classes for S/U.  *
Required
I am not minoring in Information Science (with Data Science Concentration). *
Required
Signature (Please type name) *
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