Program Overview

Computational Modeling and Data Analytics Major with Economics Option

The Bachelor of Science in Computational Modeling and Data Analytics with an Economics Option is a comprehensive program designed to equip students with a deep understanding of computational modeling, data analytics, and economic principles.

Program Curriculum

The program curriculum is structured to provide students with a solid foundation in computational modeling, data analytics, and economics. The course list includes:

• Degree Core Requirements:
  • CMDA 3605: Mathematical Modeling: Methods and Tools (3 credits)
  • CMDA 3606: Mathematical Modeling: Methods and Tools (3 credits)
  • CMDA/CS 3634: Computer Science Foundations for Computational Modeling & Data Analytics (3 credits)
  • CMDA/CS/STAT 3654: Introductory Data Analytics and Visualization (3 credits)
  • CMDA/CS/STAT 4654: Intermediate Data Analytics and Machine Learning (3 credits)
  • MATH 2114: Introduction to Linear Algebra (3 credits)
• Major Requirements:
  • CMDA 1634: Discovering Computational Modeling and Data Analytics (3 credits)
  • CMDA 2005: Integrated Quantitative Sciences (6 credits)
  • CMDA 2006: Integrated Quantitative Sciences (6 credits)
  • CS 1064: Introduction to Programming in Python (3 credits)
  • CS 2064: Intermediate Programming in Python (3 credits)
• Option Required Courses:
  • ECON 3104: Microeconomic Theory (3 credits)
  • ECON 3204: Macroeconomic Theory (3 credits)
  • ECON 4304: Introduction to Econometric Methods (3 credits)
  • CMDA/ECON 4314: Big Data Economics (3 credits)
• Elective Courses:
  • Select one of the following:
    • ECON 3054: Introduction to Forecasting
    • ECON 4044: Public Economics
    • ECON 4054: Public Finance
    • ECON 4074: Labor Economics
    • ECON 4084: Industry Structure
    • ECON 4124: Growth and Development
    • ECON/AAEC 4135: International Economics
    • ECON/AAEC 4136: International Economics
    • ECON 4404
    • ECON 4424: The Theory of Games and Economic Behavior
    • ECON 4434: Experimental Economics
    • NEUR/ECON/PSYC 4454: Neuroeconomics
• Restricted Electives:
  • Select one of the following:
    • CMDA 4604: Intermediate Topics in Mathematical Modeling
    • CMDA/STAT 4664: Computational Intensive Stochastic Modeling
    • MATH 4445: Introduction to Numerical Analysis
    • STAT 4204: Experimental Designs
    • STAT 4444: Applied Bayesian Statistics
• Free Electives:
  • Select remaining credits of free electives (16 credits)
• Pathways to General Education:
  • Pathways Concept 1 - Discourse: Select six credits in Pathway 1f and three credits in Pathway 1a
  • Pathways Concept 2 - Critical Thinking in the Humanities: Select six credits in Pathway 2
  • Pathways Concept 3 - Reasoning in the Social Sciences: ECON 2005 and ECON 2006
  • Pathways Concept 4 - Reasoning in the Natural Sciences: Select six credits from BIOL, CHEM, GEOS, ISC, NEUR, PHYS, and PSYC courses approved for Pathway 4
  • Pathways Concept 5 - Quantitative and Computational Thinking: MATH 1225, MATH 1226, and CMDA 4864
  • Pathways Concept 6 - Critique and Practice in Design and the Arts: Select three credits in Pathway 6a
  • Pathways Concept 7 - Critical Analysis of Identity and Equity in the United States: Select three credits in Pathway 7

Graduation Requirements

To graduate, students must complete 120 credit hours, including the courses required for the major. Students must also maintain an in-major GPA of 2.0 or better and an overall GPA of 2.0 or better.

Prerequisites

Some courses in the major requirements and electives have prerequisites. Students are required to double-check course prerequisites and equivalents.

Foreign Language Requirements

Students who did not successfully complete at least two years of a single foreign, classical, or sign language during high school must successfully complete six credit hours of a single foreign, classical, or sign language at the college level. Courses taken to meet this requirement do not count toward the hours required for graduation.