Minor in Data Science

The Minor in Data Science is designed to provide students the foundations to engage in this information age where data and data-informed problem solving is rampant across every discipline. The program will prepare students to curate, manage, and analyze massive data, successfully communicate findings to relevant scientific and policy stakeholders, and understand issues in data ethics confronted in data science arenas.

Preparation for the Minor (7 units)

The courses selected will be subject to the approval of the minor adviser.

All of the following

CS 150 - Introductory Computer Programming (3 units)
CS 150L - Introductory Computer Programming Laboratory (1 unit)
Stat 250 (or equivalent) - Statistical Principles and Practices (3 units)

Minor (15+ units)

The courses selected will be subject to the approval of the minor adviser.

All of the following

Stat 200 - Introduction to Data Science with R (3 units)
Stat 350A - Statistical Methods (3 units)
Stat 350B - Statistical Methods (3 units)
Stat 410 - R Programming and Data Science (3 units)

One of the following

Stat 420 - Data curation and management (3 units)
Stat 520 - Applied Multivariate Analysis (3 units)
Stat 580 - Statistical Computing (3 units)
Stat 585 - Statistical Machine Learning (3 units)
MIS 380 - Data Management Systems (3 units)
Ling 571 - Computational Corpus Linguistics (3 units)
Ling 572 - Python Scripting for Social Science (3 units)
3 upper division units of data science electives

Adviser

Barbara Bailey
Professor
GMCS-513
[email protected]

Other requirements

Counting towards the major.
Courses in the minor may not be counted toward the major, but may be used to satisfy preparation for the major and general education requirements, if applicable.

Statistics minor.
Students may not receive both the Statistics Minor and the Data Science Minor.

Location.
A minimum of six upper division units must be completed at San Diego State University.