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:

  • CS 1331 must be completed with an “A” or “B” before applying for the Minor in Computational Data Analysis.
  • In order to be accepted into the CS minor program, you must have a minimum of 48 credit hours remaining (not including CS 1331 and required minor coursework) in your major degree requirements, as seat availability in CS classes is limited
  • Online Applications and Undergraduate Change of Minor forms for Fall 2018 are due by 11:59 pm on Friday, October 12th. For Phase I & II registration questions, please visit our Registration Information page.
  • 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.
  • This minor is not available to majors in Computer Science, Computational Media, or Industrial Engineering.

Prerequisites: CS 1331 and MATH through Multivariable Calculus (MATH 2401 or 2551), i.e. must be taken but not included in the 15 hours.

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