Minor in Data Science

Program Learning Outcomes for the Minor in Data Science

Upon completing the minor in Data Science, students will be able to:

  1. Formulate questions in a domain that can be answered with data.
  2. Use tools and algorithms from statistics, applied mathematics, and computer science for analyses.
  3. Visualize, interpret, and explain results cogently, accurately, and persuasively.
  4. Understand the underlying social, political, and ethical contexts that are importantly and inevitably tied to data-driven decision-making. 

Requirements for the Minor in Data Science

Students pursuing the minor in Data Science must complete:

  • A minimum of 9 courses (27-30 credit hours, depending on course selection) to satisfy minor requirements.
  • A minimum of 6 courses (18 credit hours) taken at the 300-level or above.
  • 3 courses (9-10 credit hours, depending on course selection) to satisfy prerequisites.
  • 5 courses (15-17 credit hours, depending on course selection) to satisfy core requirements.
  • A capstone project (3 credit hours). 

The courses listed below satisfy the requirements for this minor. In certain instances, courses not on this official list may be substituted upon approval of the minor’s academic advisor, or where applicable, the Program Director. (Course substitutions must be formally applied and entered into Degree Works by the minor's Official Certifier). Students and their academic advisors should identify and clearly document the courses to be taken.

Summary 

Total Credit Hours Required for the Minor in Data Science27-30

Minor Requirements 

Prerequisites
Mathematics 16
SINGLE VARIABLE CALCULUS I
AP/OTH CREDIT IN CALCULUS I
ORDINARY DIFFERENTIAL EQUATIONS AND LINEAR ALGEBRA
SINGLE VARIABLE CALCULUS II
AP/OTH CREDIT IN CALCULUS II
MULTIVARIABLE CALCULUS
Programming 23-4
COMPUTATIONAL THINKING
INTRODUCTION TO ENGINEERING COMPUTATION
Core Requirements
Quantitative Core Requirements 3
DSCI 301 / STAT 315PROBABILITY AND STATISTICS FOR DATA SCIENCE4
or ELEC 303 RANDOM SIGNALS IN ELECTRICAL ENGINEERING SYSTEMS
DSCI 302INTRODUCTION TO DATA SCIENCE TOOLS AND MODELS3
or COMP 330 TOOLS AND MODELS FOR DATA SCIENCE
DSCI 3030-3
or STAT 413 INTRODUCTION TO STATISTICAL MACHINE LEARNING
Additional Core Requirements
DSCI 304
DSCI 305DATA, ETHICS, AND SOCIETY3
Capstone Requirement
DSCI 400 / STAT 435
Total Credit Hours19-23

Footnotes and Additional Information

Policies for the Minor in Data Science

Program Restrictions and Exclusions

Students pursuing the minor in Data Science should be aware of the following program restriction:

  • As noted in Majors, Minors, and Certificates, i.) students may declare their intent to pursue a minor only after they have first declared a major, and ii.) students may not major and minor in the same subject.

Additional Information 

For additional information, please see the Data Science website: https://datascience.rice.edu/

Opportunities for the Minor in Data Science

Additional Information 

For additional information, please see the Data Science website: https://datascience.rice.edu/