The Statistics Department will accept letter grade or credit for all minor courses for 2020-21 academic year.
The Data Science minor has been designed for majors in the humanities and social sciences who want to gain practical know-how of statistical data analytic methods as it relates to their field of interest. The minor will provide students with the knowledge of exploratory and confirmatory data analyses of diverse data types (e.g. text, numbers, images, graphs, trees, binary input); strengthen social research by teaching students how to correctly apply data analysis tools and the techniques of data visualization to convey their conclusions. No previous programming or statistical background is assumed.
Students are expected to:
All courses for the minor must be taken for a letter grade where offered, with the exception of the Data Mining requirement. Seven courses are required, equal to at least 22 units. A grade point average (GPA) of 2.75 is required for courses fulfilling the minor.
After declaring the minor in Axess, students must submit the Data Science minor form to Mason Perez, Sequoia Hall, Room 124, before they can be approved.
Linear Algebra (5 units) select one course
Programming (5 units)
Programming in R select one course
Data Science (3 units) select one course
STATS 60: Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
MS&E 226: Fundamentals of Data Science: Prediction, Inference, Causality
CS 102: Working with Data - Tools and Techniques
Statistics (3 units) select one course
Data Mining and Analysis (3 units) select one course
Data Science Methodology from the cognate field of interest (2-3 units) (Courses may not be offered every year, refer to explorecourses) select at least one course
Suggested courses include, but are not limited to:
To request consideration for a course not listed here, email the course syllabus to Mason Perez, masonmp@stanford.edu
*Stats 191 cannot count for both requirements
Freshman: Programming in R, Math 21, CS 106A
Sophomore: Linear Algebra, Data Science course
Junior: Statistics course, Data Science Methodology course
Senior: Data Mining and Analysis
Freshman: (AP Calculus), Programming in R, CS 106A
Sophomore: Linear Algebra, Data Science course
Junior: Statistics course, Data Science Methodology course
Senior: Data Mining and Analysis
Take a look at the Statistics minor and MCS minor.
Any changes to the initial course of study should be approved in advance by the department.
*A note about double counting: For majors & minors with overlapping requirements, the courses that may be double counted are those from the MATH 50 series and CS 106A/B & STATS 60. Beyond these, students would need to find another suitable course to satisfy the requirements for the minor.
Data Science minor inquiries should be addressed to Mason Perez, masonmp@stanford.edu.