Doctor of Philosophy in Social and Engineering Systems
Institute for Data, Systems, and Society
Program Requirements
Orientation | ||
IDS.900 | Doctoral Seminar in Social and Engineering Systems | 3 |
Core | ||
Select 12 units from three of the areas below: | ||
Probability | ||
Fundamentals of Probability | ||
Statistics | ||
Fundamentals of Statistics | ||
Mathematical Statistics | ||
Mathematical Statistics: a Non-Asymptotic Approach | ||
Statistics, Computation and Applications | ||
Social Science 1 | ||
Political Science Scope and Methods | ||
Designing Empirical Research in the Social Sciences | ||
Ethnographic Research Methods | ||
Microeconomics / Causal Inference | ||
Microeconomic Theory I and Microeconomic Theory II | ||
Econometric Data Science | ||
New Econometric Methods | ||
Inference on Causal and Structural Parameters Using ML and AI | ||
Quantitative Research Methods II: Causal Inference | ||
Information Systems and Decision Science Focus 2, 3 | 54 | |
Five in the areas of probabilistic modeling, statistics, optimization, or systems/control theory, including: | ||
One subject from the list of Statistical Processing of Data Subjects below | ||
One subject of substantial mathematical content 4 | ||
Two subjects belonging to a sequence that provides increasing depth on a particular topic | ||
Social Science Focus 2, 5 | 42 | |
Four subjects that create a coherent and rigorous program of study in the social sciences, providing necessary background for research, including three subjects comprising a coherent collection that builds depth in a particular social science focus area | ||
Problem Domain Focus 2, 6, 7 | 9 | |
Two subjects in the application domain of the student’s research | ||
Teaching | ||
IDS.960 | Teaching in Data, Systems, and Society | 20 |
Research | ||
IDS.970 | Pre-Thesis Research in Data, Systems, and Society 8 | 138 |
IDS.THG | Graduate Thesis 8 | 60 |
Total Units | 326 |
1 | Can also be satisfied by Harvard University subject SOCIO 2205 Sociological Research Design. |
2 | Students should choose 9-12 unit subjects to meet this requirement, with no more than half of the subjects chosen being 9-unit subjects. Two partial term subjects that form a two-subject sequence may be counted as one subject if their unit total is equal to or greater than 9 units. If Core subjects are used to satisfy this requirement, the remaining subjects in the focus should be at a more advanced level. |
3 | Core subjects in Probability and Statistics should be counted toward this requirement. |
4 | 6.7700[J] Fundamentals of Probability or another subject approved by the advisor and the graduate program committee. |
5 | Core subjects in Social Science and Microeconomics/Causal Inference should be counted toward this requirement. |
6 | One subject may be satisfied by a one-term, 12-unit internship (IDS.955 Practical Experience in Data, Systems, and Society) or independent study (IDS.950 Independent Study in Data, Systems, and Society). IDS.955 is considered an ideal way to satisfy one Problem Domain requirement. |
7 | One subject may also be counted toward the Social Science Focus. |
8 | This represents the number of units the average student registers for this subject over the course of the program. |
Statistical Processing of Data Subjects
6.7810 | Algorithms for Inference | 12 |
6.7900 | Machine Learning | 12 |
9.520[J] | Statistical Learning Theory and Applications | 12 |
14.382 & 14.383 | Econometrics and High-Dimensional Econometrics | 6 |
15.077[J] | Statistical Machine Learning and Data Science | 12 |
16.391 | Statistics for Engineers and Scientists | 12 |
17.802 | Quantitative Research Methods II: Causal Inference | 12 |
17.804 | Quantitative Research Methods III: Generalized Linear Models and Extensions | 12 |
17.806 | Quantitative Research Methods IV: Advanced Topics | 12 |
18.6501 | Fundamentals of Statistics | 12 |
18.655 | Mathematical Statistics | 12 |
IDS.131[J] | Statistics, Computation and Applications | 12 |
IDS.160[J] | Mathematical Statistics: a Non-Asymptotic Approach | 12 |