• <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/30028_english-_literature.rev.1452013046.png)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/30025_education.rev.1451945980.png)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/30024_area_studies.rev.1451945934.png)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/30027_self_designed_major.rev.1451946126.png)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/29871_papers.rev.1452013163.png)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/29873_header-aerial.rev.1450206652.jpg)"/>
  • <div style="background-image:url(/live/image/gid/6/width/1600/height/300/crop/1/30485_library.rev.1454952369.png)"/>

Data Science

Requirements

  • Requirements for the Major in Data Science:  

    At least 10 credits, including the “core” plus one “track”

    The Core (6 Courses)
    • Mathematics 110: Calculus I
    • Computer Science 112: Computer Science I
    • One course chosen from the following:
      • Mathematics 150: Introduction to Probability & Statistics
      • Economics/Business/Finance 130: Applied Statistics
      • Psychology 222: Research Methods & Statistics II
    • Mathematics 240: Introduction to Computational Mathematics
    • Mathematics 250: Introduction to Statistical Programming
    • Computer Science 250: Programming for Data Applications
    Option I – The Finance and Economics Track (5 courses)
    • Economics 110: Principles of Economics
    • Finance 210: Financial Management
    • Business 230: Financial Accounting
    • Economics 330: Econometrics
    • Finance 485: Quantitative Finance (Senior Studies requirement)
    Option II – The Statistics Track (5 courses)
    • Mathematics 111: Calculus II
    • Mathematics 210: Multivariable Calculus
    • Mathematics 230: Abstract and Discrete Mathematics
    • Mathematics 350: Mathematical Probability
    • Mathematics 450: Mathematical Statistics (Senior Studies requirement)
    Option III – The Computer Science Track (4 courses)
    • Computer Science 212: Computer Science II
    • Computer Science 317: Data Structures and Algorithms or Computer Science 325: Artificial Intelligence
    • Computer Science 327: Introduction to Database Systems
    • Computer Science 450: Computer Vision & Machine Learning (Senior Studies requirement)

    Requirements for the Minor in Data Science:

    At least 6 credits

    The minimum requirement for the Data Science Minor is to complete the (6) courses listed as “The Core” requirements for the major.