The program consists of nine courses, of which five should be from the list of core courses. The remaining four electives can consist of any graduate-level engineering or science courses at Dartmouth.
Please note: The information below reflects degree requirements, effective as of Fall 2023.
| COURSE TYPE | REQUIRED NUMBER OF COURSES | COURSES |
|---|---|---|
Core Courses |
5 courses | Choose 5 courses, from the following: ENGS 108: Applied Machine Learning * ENGS 108, COSC 174, and QBS 108 are equivalent, and only one may be taken for credit. ** COSC 175 and QBS 175 are equivalent courses. Only one may be taken for credit. |
Electives | 4 courses | Choose 4 courses, from the following: Engineering*** Any graduate-level engineering sciences courses. Design Project**** Students enrolled in the Design Project elective may take the following course sequence to partially fulfill the elective requirement: ENGM 191: Product Design and Developmen Science*** Any graduate-level science courses, including: COSC 174: Machine Learning and Statistical Data Analysis* * ENGS 108, COSC 174, and QBS 108 are equivalent, and only one may be taken for credit. ** COSC 175 and QBS 175 are equivalent courses. Only one may be taken for credit. |
*** Students may choose electives from any graduate-level engineering or science courses offered at Dartmouth. The courses listed here are for recommended students who seek additional further depth of study in their chosen track.
**** Starting in the Fall of 2024, students interested in the Design Project elective may have additional pathways to fulfill this requirement. Current students should consult their faculty advisors about the path that is best for them. Interested applicants may reach out to engineering.admissions@dartmouth.edu for more information.
