Minor in Computational Data Analysis

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:

  1. provide students with foundational knowledge of topics such as probability and statistics, algorithms and data structures to solve data analysis problems arising in practical applications,
  2. develop students' skill in software development techniques using one or more high level programming languages relevant to data analytics,
  3. enable students to effectively apply computational methods to solve exemplar data analysis problems arising in relevant applications.

Program of Study

This minor must comprise at least 15 credit hours, of which at least 9 credit hours are upper-division coursework (numbered 3000 or above).

Prerequisite
Introduction to Object Oriented Programming 1
Required Courses
CX 4240Introduction to Computing for Data Analysis3
CX 4242Data and Visual Analytics3
Probability and Statistics
Select one of the following:3
Introduction to Probability and Statistics
Honors Probability and Statistics
Prob/Stats for ECE
Probability with Applications
Computational Methods
Select one of the following:3
Computational Problem Solving for Scientists and Engineers
Introduction to Database Systems
Introduction to Information Visualization
Electives
Select one of the following:3
Genomics and Applied Bioinformatics
Geomatics
Introduction to Perception and Robotics
Introduction to Database Systems
Introduction to Information Visualization
Computer Vision
Computational Problem Solving for Scientists and Engineers
Special Topics (Computational Sustainability)
Remote Sensing and Data Analysis
Environmental Data Analysis
Fundamentals of Digital Signal Processing
Introduction to Automation and Robotics
Computational Computer Vision
Special Topics (Game Theory and Multi-agent Systems)
Capital Investment Analysis
Probabilistic Operations Research
Financial Markets: Trading and Structure
Fixed Income
Applied Experimental Psychology
Total Credit Hours15
1

CS 1331 prerequisite for the minor required (this course does NOT count toward the 15 credit hours required for minor) and a grade of A or B is required

  • A CS Minor application is required
  • No Special Problems or Internship coursework may be used towards the CS minor.
  •  All minor courses must be completed with a grade of C or higher.
  • A maximum of 6 credit hours of Special Topics courses may be included in a minor.
  • A maximum of 3 credit hours of transfer credit may be used to satisfy the course requirements for a minor. This includes courses taken at another institution or credit earned through the AP or IB program, assuming the scores meet Georgia Tech minimum standards.
  • It is the major advisor’s responsibility to verify that students are using only courses from the designated block(s) from the student’s major field of study that are allowed to satisfy a minor program, that they are not using any Core Area A-E courses (including humanities and social sciences), and that they are not using any courses for more than one minor or certificate. Any free elective course used to satisfy the course requirements of the student’s major degree program may also be used to satisfy the course requirements for a minor.