Sample Study Plan
The COS curriculum ensures all students have a solid foundation in computational methods, formal methods, society and organizations, and policy. At the same time, it retains enough flexibility to enable students to further specialize in areas that are more closely relevant to their research interests. The following is an illustration of the courses three different sets of students could take:Sample Schedule
| Fall 1 | Spring 1 |
| COS Lab | 15-780 Advanced Concepts in AI |
| 10-701 Machine Learning | 10-751 Prob & Statistics for Computer Science |
| COS Research | COS Research |
| Fall 2 | Spring 2 |
| Dynamic Network Analysis | Elective |
| Elective | TA-ing |
| COS Research | COS Research |
| Fall 3 | Spring 3 |
| TA-ing | COS Research |
| Elective | |
| COS Research |
Sample Schedule
| Fall 1 | Spring 1 |
| COS Lab | 15-780 Advanced Concepts in AI |
| Dynamic Network Analysis | 15-750 Algorithms |
| COS Research | COS Research |
| Fall 2 | Spring 2 |
| 10-705 Intermediate Statistics | Elective |
| Elective | TA-ing |
| COS Research | COS Research |
| Fall 3 | Spring 3 |
| TA-ing | COS Research |
| Elective | |
| COS Research |
Sample Schedule
| Fall 1 | Spring 1 |
| COS Lab | 15-780 Advanced Concepts in AI |
| Dynamic Network Analysis | Privacy Algorithms |
| COS Research | COS Research |
| Fall 2 | Spring 2 |
| 10-705 Intermediate Statistics | Elective |
| Elective | TA-ing |
| COS Research | COS Research |
| Fall 3 | Spring 3 |
| TA-ing | COS Research |
| Elective | |
| COS Research |
