[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• GPA: 3.92
• GRE Quant: 170
• University: US T25
• Majors: Quant-related (Stats + Computational Finance minor)
• International: yes
• Internships: 3x: quant (US), tech/DS (US), tech/DS (US)
• Research: Yes (4x campus research, no paper)

Prediction Results

• Master of Science in Financial Engineering (New York University): 80% [71%-87%] — safety
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 72% [37%-92%] — safety
• Master of Science in Mathematics in Finance (New York University): 69% [52%-81%] — target
• Master of Arts in Mathematics of Finance (Columbia University): 67% [52%-79%] — target
• Master of Science in Financial Mathematics (University of Chicago): 64% [52%-74%] — target
• Master of Financial Engineering (Cornell University): 63% [45%-78%] — target
• Master of Science in Computational Finance (Carnegie Mellon University): 63% [53%-72%] — target
• Master of Financial Engineering (University of California, Berkeley): 55% [31%-77%] — target
• Master of Science in Financial Engineering (Columbia University): 53% [43%-62%] — target
• MS in Financial Economics (Columbia University): 46% [16%-80%] — target
• Master in Asset Management (Yale University): 45% [23%-69%] — target
• Master of Finance (Massachusetts Institute of Technology): 40% [24%-59%] — target
• Master of Science in Mathematical and Computational Finance (Stanford University): 32% [19%-48%] — reach
• Master in Finance (Princeton University): 29% [12%-54%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 22% [7%-51%] — reach

Command: quantpath predict --profile profiles/data_contrib_issue_5.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 3 reach / 10 target / 2 safety.

Actual Outcomes

• Master of Science in Financial Engineering (New York University): not applied
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): not applied
• Master of Science in Mathematics in Finance (New York University): not applied
• Master of Arts in Mathematics of Finance (Columbia University): not applied
• Master of Science in Financial Mathematics (University of Chicago): not applied
• Master of Financial Engineering (Cornell University): not applied
• Master of Science in Computational Finance (Carnegie Mellon University): accepted (+$15k scholarship)
• Master of Financial Engineering (University of California, Berkeley): not applied
• Master of Science in Financial Engineering (Columbia University): not applied
• MS in Financial Economics (Columbia University): not applied
• MA in Applied Mathematics (Yale University): not applied
• Master of Finance (Massachusetts Institute of Technology): rejected
• Master of Science in Mathematical and Computational Finance (Stanford University): not applied
• Master in Finance (Princeton University): rejected
• Master of Financial Engineering (Baruch College, City University of New York): not applied

Also applied (not in QuantPath database)

Lottery:

• Yale Statistics and Data Science: accepted (1/26)
• Harvard DS: accepted (2/13)
• Stanford MSE: rejected
• MIT Mban: rejected

Stretch:

• UPenn DS: accepted (3/25)
• Northwestern MLDS: accepted (2/26)

Match:

• Oxford MCF: rejected (1/14)
• Cambridge MPhil Finance and Econ: accepted (3/10)

Safety:

• Cornell Tech DSDA: accepted (+$25k scholarship, 1/22)
• UCB IEOR Fintech: accepted (+$15k scholarship, 3.6 GPA cutoff)

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Manually submitted from public 小红书 post (26fall DS MFE混申总结 抽中彩票版)