Requirements

Requirements for the Data Science Major (9 Credits)

Core Courses (5)

  • CS 151 Introduction to Programming with Python (1)
  • MATH 239 Statistical Learning with R (1)
  • CS 370 Fundamentals of Data Science I (1)
  • DATA 375 Problem-Solving with Data Analytics (1)
  • DATA 499W Independent Internship or Thesis (1) (to be developed)

Electives (4):

Data Science + Computer Science track 

  • One elective chosen from the Applied Data Analysis category (1)BIOL 342 Biostatistics (1)
    • BIOL 347 Bioinformatics (1)
    • CS 475 Fundamentals of Machine Learning (1)
    • ECON 350 Introduction to Econometrics and Forecasting (1)
    • ENVS 250 Geographic Information Systems (1)
    • ENVS 381 Research in Spatial Science (1)
    • PHYS 338 Advanced Data Analysis and Simulation (ADAS) (1)
    • SOC 341 Methods of Social Survey Design, Sampling, and Data Analysis (1)
    • QUAD Center Internship
  • Three electives chosen from the Statisticial and Mathematical Theory category (3)
    • MATH 253 Linear Algebra (1)
    • MATH 266 Probability and Statistics (1)
    • MATH 376 Topics in Mathematics: Probability Theory (topic dependent) (1)
    • MATH 3XX Advanced Statistics (1) (to be developed)

Data Science + Natural Sciences track

  • One elective chosen from the Statistical and Mathematical Theory category: (1)
    • MATH 253 Linear Algebra (1)
    • MATH 266 Probability and Statistics (1)
    • MATH 376 Topics in Mathematics: Probability Theory (topic dependent) (1)
    • MATH 3XX Advanced Statistics (1) (to be developed)
  • Three classes chosen from the Natural Sciences category: (3)
    • BIOL 342 Biostatistics (1)
    • BIOL 347 Bioinformatics (1)
    • ENVS 250 Geographic Information Systems (1)
    • ENVS 381 Research in Spatial Science (1)
    • PHYS 338 Advanced Data Analysis and Simulation (ADAS) (1)
    • QUAD Center internship

Data Science + Social Sciences track

  • One elective chosen from the Statistical and Mathematical Theory category: (1)
    • MATH 253 Linear Algebra (1)
    • MATH 266 Probability and Statistics (1)
    • MATH 376 Topics in Mathematics: Probability Theory (topic dependent) (1)
    • MATH 3XX Advanced Statistics (1) (to be developed)
  • Three classes chosen from the Social Sciences Category: (3)
    • ECON 350 Introduction to Econometrics and Forecasting (1)
    • ENVS 250 Geographic Information Systems (1)
    • PSYC 252W Research Methods & Analysis I (1)
    • PSYC 253 Research Methods & Analysis II (1)
    • SOC 341 Methods of Social Survey Design, Sampling, and Data Analysis (1)
    • QUAD Center Internship

Requirements for the Data Science Minor (5 Credits)      

Core Courses (4)

  • CS 151 Introduction to Programming with Python (1)
  • MATH 239 Statistical Learning with R (1)
  • CS 370 Fundamentals of Data Science I (1)
  • DATA 375 Problem-Solving with Data Analytics (1)

Elective (1)

Students must choose one from either category:

  • Applied Data Analysis
    • BIOL 342 Biostatistics (1)
    • BIOL 347 Bioinformatics (1)
    • CS 475 Fundamentals of Machine Learning (1)
    • ECON 350 Introduction to Econometrics and Forecasting (1)
    • ENVS 250 Geographic Information Systems (1)
    • ENVS 381 Research in Spatial Science (1)
    • PHYS 338 Advanced Data Analysis and Simulation (ADAS) (1)
    • SOC 341 Methods of Social Survey Design, Sampling, and Data Analysis (1)
  • Statistical & Mathematical Theory
    • MATH 253 Linear Algebra (1)
    • MATH 266 Probability and Statistics (1)
    • MATH 376 Topics in Mathematics: Probability Theory (topic dependent) (1)
    • MATH 3XX Advanced Statistics (1) (to be developed)