MSE — graduation goal
Graduation goal in Management Science & Engineering. It is the academic why that underpins the projects — the app description moved to Agro App. Under the stakeholder Miguel.
- Goal: gain admission to MS&E (Stanford) with a full-ride scholarship → SMART goals.
Definition
Epics · MGMSE-
Each item is an epic (user story); the DoD uses Given / When / Then. Derived from the SMART goals in Universe Objectives (weight: academic 40% · extracurriculars 30% · essays 30%).
| # | Epic | Status |
|---|---|---|
MGMSE-1 | Academic record and scores | to do |
MGMSE-2 | Extracurriculars and MS&E case | to do |
MGMSE-3 | Essays and Financial Aid | to do |
MGMSE-1· Academic record and scoresStory: As an MS&E (Stanford) applicant, I want to consolidate my scores, so that I tackle the academic pillar (40%). DoD
- Given the SAT, When scores are released, Then I achieve 1500+ (Math 780+); if below, 1 strategic retake (superscore).
- Given the deadline, When Sep 30 arrives, Then all official scores are ready for submission.
MGMSE-2· Extracurriculars and MS&E caseStory: As an MS&E applicant, I want to document the project case and connect with professors, so that I fill the Extracurriculars & Leadership pillar (30%). DoD
- Given the completed project, When documented, Then there is 1 portfolio with problem, solution, and ≥2 impact metrics.
- Given the MS&E department, When I review it, Then I have mapped the 6 professors whose research converges (by Aug 31).
MGMSE-3· Essays and Financial AidStory: As an MS&E applicant, I want the complete essay package and financial documentation, so that I secure the Essays pillar (30%) and the full-ride scholarship. DoD
- Given the package (Main Essay + supplementals), When finalized, Then it has gone through ≥4 revision rounds.
- Given the forms (CSS Profile/ISFAA), When Oct 15 arrives, Then they are 100% filled with no pending items.
Professors — the research (scholars) that underpins the projects
- Irene Lo — operations research, market design, smallholder supply chains
- M. Elisabeth Paté-Cornell — management and risk analysis
- Madeleine Udell — optimization, modeling with LLMs
- Melissa Valentine — algorithms and organizational structure
- Pamela Hinds — generative AI, emerging technology and work
- Vasilis Syrgkanis — learning, preferences and causality
Papers
Full articles (PDF) are in the Papers na íntegra/ folder, linked on each professor’s page.
Network
- Stakeholder: Miguel