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Georgia Institute of Technology College of Computing 26 courses 15 total credits
The Computational Data Analysis minor will provide students with the necessary mathematical and statistical background to develop and apply various data analysis techniques to real world datasets. The minor has three main objectives related to knowledge, skills, and application:
| Total Credits | 15 credits |
Prerequisite
| Code | Course Title | Credits |
|---|---|---|
| CS 1331 | Introduction to Object Oriented Programming | 3 |
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| CX 4240 | Introduction to Computing for Data Analysis | 3 |
| CX 4242 | Data and Visual Analytics | 3 |
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| MATH 3215 | Introduction to Probability and Statistics | 3 |
| MATH 3225 | Honors Probability and Statistics | |
| ECE 3077 | Introduction to Probability and Statistics for ECE | 3 |
| ISYE 2027 | Probability with Applications | 3 |
| Total | 3 credits | |
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| CX 4010 | Computational Problem Solving for Scientists and Engineers | 3 |
| CS 4400 | Introduction to Database Systems | 3 |
| CS 4460 | Introduction to Information Visualization | 3 |
| Total | 3 credits | |
Select one of the following:
Click a course code or title to read the full course description.
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