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Data Science, Minor

School of Natural and Behavioral Sciences

Program Overview

A minor in data science will teach you data analysis as well as critical thinking around the construction and implications of data analysis and models. You will obtain a working knowledge of statistics, probability, and computation across disciplines, allowing you to participate in data science projects as well as design and carry out rigorous computational and inferential analysis in your chosen major or field.

Data Science, Minor

Where You'll Go

Earning a minor in data science will prepare you for careers or postgraduate work using data skills, providing a solid foundation for further exploration in your chosen field. A minor in data science will allow you to poise yourself for careers such as biostatistician, data engineer, software developer, or an operation research analyst.

Minor Details

The program information listed here reflects the approved curriculum for the 2026–27 academic year per the ¿ÉÀÖÊÓÆµ Bulletin. Bulletins from past academic years can be found here.

Minor Requirements (18–19 Credits)

  • Computer and Information Science ,
  • Mathematics
  • Either Mathematics and Mathematics , or Computer and Information Science and Mathematics

One additional course, chosen from among the following:

  • Business Management or , or
  • Computer and Information Science or , or
  • Finance , or
  • Economics or or or , or
  • Mathematics or or , or
  • Philosophy or or , or
  • Political Science or or , or
  • Psychology or or or or , or
  • Sociology or .

Prerequisite requirements for the minor:

  • Mathematics , ,
  • Computer and Information Science

Courses presented for the major in Computer and Information Science may also be used to satisfy the minor in Data Science. A minor in CIS requires completing 12 credits from among courses numbered between 2000 and 4899 with a grade C or better. Students with GPA above 3.0 may choose from Computer and Information Science courses numbered 7000 and above. Students with GPA above 3.0 and completed 90 credits may choose CISC 7700X or 7702X in lieu of CISC 3225; CISC 7412X or CISC 7440X or CISC 7704X in lieu of CISC 3440.

Accelerated Master’s

Four courses (12 credits) of CISC , , , , may be taken as part of the Mminor in Data Science, and can count for both the student’s undergraduate degree and the subsequent M.S. in Computer Science degree at ¿ÉÀÖÊÓÆµ.

To qualify for accelerated track, students with a GPA of 3.0 or higher based on a minimum of 60 credits in computer and information science courses may apply for consideration. Students must maintain a GPA above 3.0 to remain eligible for continued registration of graduate courses. Students must maintain a GPA above 3.0 at the time of graduation for transfer credit of graduate courses to their graduate program.

Contact

Contact the Computer and Information Science DepartmentÌý´Ç°ù Mathematics Department for information on academic advisers and office hours.

Brooklyn. All in.

Brooklyn. All in.