Minor in Computational Data Analysis

The College of Computing offers a minor in Computational Data Analysis for students in other disciplines who are looking to combine their area of study with the mathematical and statistical background to develop and apply data analysis techniques to real world datasets.

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 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

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.