Students with a minor in Data Science will receive foundational training in modern data science to complement and enhance their major field of study.
Learning Objectives
Upon successful completion, students will be able to:
- Determine the appropriate method to apply to a given data science problem.
- Prepare data drawn from disparate sources in to a form suitable for analysis.
- Perform basic data science analyses.
- Interpret and present the results.
Effective Fall 2023
Additional coursework may be required due to prerequisites.
Students must satisfactorily complete the total credits required for the minor. Minors and interdisciplinary minors require 12 or more upper-division (300- to 400-level) credits.
| Code | Title | Credits |
|---|---|---|
| CS 201/PHIL 201 | Ethical Computing Systems (GT-AH3) | 3 |
| CS 220 | Discrete Structures and their Applications | 4 |
| CS 345 | Machine Learning Foundations and Practice | 3 |
| or DSCI 445 | Statistical Machine Learning | |
| DSCI 235 | Data Wrangling | 2 |
| DSCI 369 | Linear Algebra for Data Science | 4 |
| STAT 158 | Introduction to R Programming | 1 |
| STAT 341 | Statistical Data Analysis I | 3 |
| Select one of the following | 1-3 | |
| Introduction to Applied Statistical Methods | ||
| Statistics Supplement: General Applications | ||
| Introduction to Biostatistics | ||
| Intro to Theory and Practice of Statistics | ||
| Data Science Minor Electives (select a minimum of 3 credits from the list below) 1 | 3-4 | |
| Program Total Credits: | 24-27 | |
Data Science Minor Electives
| Code | Title | Credits |
|---|---|---|
| CS 320 | Algorithms--Theory and Practice | 3 |
| CS 435 | Introduction to Big Data | 4 |
| CS 440 | Introduction to Artificial Intelligence | 4 |
| CS 445 | Introduction to Machine Learning | 4 |
| DSCI 320 | Optimization Methods in Data Science | 3 |
| DSCI 335 | Inferential Reasoning in Data Analysis | 3 |
| DSCI 473 | Introduction to Geometric Data Analysis | 2 |
| DSCI 475 | Topological Data Analysis | 2 |
| STAT 342 | Statistical Data Analysis II | 3 |
| STAT 440 | Bayesian Data Analysis | 3 |
| STAT 460 | Applied Multivariate Analysis | 3 |
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Courses used to satisfy degree (program) requirements outside this minor cannot count toward completing minor electives. (I.e. If using a course to complete a major, the student must take a different course for the minor elective.)
For example: A CS student using STAT 342 as a technical elective as part of their CS degree, cannot count this course as a minor elective in the DSCI minor.