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 Winter 2024.
| 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*** Design Project Students enrolled in the design project elective starting in Fall 2024 may take one of the following options to partially fulfill the four-course elective requirement. The appropriate option will depend on each student’s prior experience and coursework since the two tracks require different prerequisites.
Option 2 (2 courses)
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.
