Applied Electives for BS in Statistical Science

Applied Electives for a Bachelor of Science

If you are pursuing a Bachelor of Science in Statistical Science, you must take one elective from in an applied field, such as as engineering, mathematics, natural sciences, or one of the quantitative social sciences. This course must contain statistical content above the level of STA 210 (Regression Analysis) and STA 250 (Statistics), and must be pre-approved by the Director of Undergraduate Studies (DUS).

Listed below are some external electives that have been approved in the past. You and your advisor can use this list as an inspiration in planning a pathway through the Statistical Science major. The list is ever-changing as departments change their existing course content or add or remove courses. Note that all external courses must be pre-approved by the DUS, including the ones listed below.

Also note that departments offer Special Topics courses that vary each semester that might be appropriate for meeting the external elective requirement for the major. Make sure to check out the department course listings for the latest update on their Special Topics offerings.

If you would like to take a course outside of this list that you believe might be a candidate for meeting the external elective requirement for the Statistical Science major, please email the DUS with name, number, and syllabus (outlining topics covered and textbook used, if any) of the course for pre-approval, prior to taking the course.

  • From Computer Science:
    • CS 216 - Everything Data
    • CS 270 - Intro to AI
    • CS 290 - Data Science Competition
    • CS 316 - Intro to Database Systems
    • CS 527 - Computer Vision
  • From Mathematics:
    • MATH 465 - Introduction to High Dimensional Data Analysis
    • MATH 531 - Basic Analysis (Recommended if you are thinking of applying for PhD programs)
    • MATH 561 - Scientific Computing
    • MATH 581 / ECON 673 - Mathematical Finance
  • From Economics:
    • ECON 413 - Forecasting Financial Markets
    • ECON 471 - Financial Markets and Investments
    • ECON 673 / MATH 581 - Mathematical Finance
    • ECON 674 / MATH 582 - Financial Derivatives 
  • From Public Policy:
    • PUBPOL 590 - Applied Big Data Science - Energy Data Analytics and Policy
  • From Biology: