Minor in Computational Data Analysis

General Requirements:

• Must be in good academic standing (Student is not on academic warning or probation; is maintaining satisfactory academic progress.)
• CS 1301, CS 1315, or CS 1371 must be completed with an “A” or “B” before applying for the Minor in Computational Data Analysis.
• CS 1331 must be completed with an “A” or “B” before applying for the Minor in Computational Data Analysis.
• Mathematics through Calculus III must be completed before applying for the Minor in Computational Data Analysis.
• Students must have a minimum of 48 credit hours remaining (not including minor prerequisites and required coursework) in your major degree requirements, as seat availability in CS classes is limited
• All courses must be completed with a letter-grade of “C” or better
• 9 hours must be 3000/4000 level
• Course prerequisites are not a part of the minor; it is the student’s responsibility to account for all required prerequisites understanding that they are also subject to change.
• If the students’ major requires any of the minor courses listed below, the student should communicate with the minor advisor for course substitutions.
• Computational Media, Computer Engineering (catalog year 2021-2022 and later), Computer Science, and Industrial Engineering majors cannot minor in Computational Data Analysis.

Required Courses:

• CX 4240 Introduction to Computing for Data Analysis, 3
• CX 4242 Data and Visual Analytics, 3
• Pick 1 from Introduction to Probability & Statistics (below):
  • MATH 3215 Introduction to Probability & Statistics, 3
  • MATH 3225 Honors Probability and Statistics, 3
  • ECE 3077 Probability and Statistics for ECE, 3
  • ISYE 2027 Probability with Applications, 3
• Pick 1 from Computational Methods (below):
  • CX 4010 Computational Problem Solving for Scientists and Engineers, 3
  • CS 4400 Introduction to Database Systems, 3
  • CS 4460 Introduction to Information Visualization, 3
• Pick 1 from Computational Data Analysis Elective (below):
  • BIOL 4150 Genomics & Applied Bioinformatics, 3
  • CEE 3010 Geomatics, 3
  • CS 3630 Introduction to Perception and Robotics, 3
  • CS 4400 Introduction to Database Systems, 3
  • CS 4460 Introduction to Information Visualization, 3
  • CS 4476 Introduction to Computer Vision, 3
  • CX 4010 Computational Problem Solving for Scientists and Engineers, 3
  • EAS 4430 Remote Sensing and Data Analysis, 3
  • EAS 4480 Environmental Data Analysis, 3
  • ECE 4270 Fundamentals of Digital Signal Processing, 3
  • ECE 4560 Intro to Automation and Robotics, 3
  • ECE 4580 Computational Computer Vision, 3
  • ECE 4823 Game Theory and Multiagent Systems, 3
  • ISYE 4311 Capital Investment Analysis, 3
  • ISYE 3232 Stochastic Manufacturing and Service Systems, 3
  • MGT 4067 Financial Markets: Trading and Structure, 3
  • MGT 4068 Introduction to Fixed Income, 3
  • PYSC 4031 Applied Experimental Psychology, 3

Total hours to receive minor: 15 hours

• If any of the CDA probability and statistics courses listed above are successfully completed for a student’s major, they may not double count that course toward the minor. Instead, students may choose from one of two options listed below.
  • Take another probability and statistics course on the list that is not equivalent to the course already taken. Course equivalencies may be viewed in the catalog. 
  • Take another CDA elective course in place of the probability and statistics course.

For Phase I & II registration information, please visit our Registration Information page. 

All courses are not consistently offered. See http://www.cc.gatech.edu/three-year-course-outline.

Find out more or sign up for a Minor Interest Meeting