1. Orientation sessions starting 2 weeks before the first day of classes.
  2. EN.553.636 Introduction to Data Science.
  3. One course in each of the four Core Areas.  Courses chosen in this section must be distinct from the courses used to satisfy the 5 additional course requirements.  Course in italics are recommended.
  4. Four elective courses.  Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
  5. Data Science Capstone Experience (6 credit course), poster presentation and final paper.
  6. WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
  7. Data Science Ethics course.

  1. Orientation sessions starting 2 weeks before the first day of classes.
  2. EN.553.636 Introduction to Data Science -OR- EN.601.675 Machine Learning. Must be taken the first semester.
  3. One course in each of the four (4) Core Areas.  Courses chosen in this section must be distinct from the courses used to satisfy the electives requirements.  Course in italics are recommended.
  4. Three (3) elective courses.  Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
  5. Data Science Capstone Experience*. Six (6) credit course which may be taken in two semesters of 3 credits each.
  6. WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
  7. Data Science Ethics course.

  1. Orientation sessions starting 2 weeks before the first day of classes.
  2. EN.553.636* Introduction to Data Science OR EN.601.675. Must be taken the first semester.
  3. One course in each of the four (4) Core Areas.  Courses chosen in this section must be distinct from the courses used to satisfy the 5 electives requirements.  Course in italics are recommended.
  4. Five (5) elective courses.  Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
  5. WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research)
  6. Data Science Ethics course.

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