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Information for NEW students starting Fall 2025! |
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636 Introduction to Data Science.
- 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.
- Four elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- Data Science Capstone Experience (6 credit course), poster presentation and final paper.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
- Data Science Ethics course.
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636 Introduction to Data Science -OR- EN.601.675 Machine Learning. Must be taken the first semester.
- 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.
- Three (3) elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- Data Science Capstone Experience*. Six (6) credit course which may be taken in two semesters of 3 credits each.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
- Data Science Ethics course.
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636* Introduction to Data Science OR EN.601.675. Must be taken the first semester.
- 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.
- Five (5) elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research)
- Data Science Ethics course.
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