MasterAgentAI

MasterAgentAI / QuantPath

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Open-source MFE application toolkit — profile evaluation, prerequisite matching, and school selection for top financial engineering programs

cli financial-engineering graduate-admissions mfe python
15
0
100% credibility
Found Mar 22, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

QuantPath is an open-source toolkit that helps applicants to Master of Financial Engineering programs evaluate their academic profiles, identify prerequisite gaps, rank target schools, and generate personalized application strategies.

How It Works

1
🔍 Discover QuantPath

You find this free toolkit while searching online for advice on applying to financial engineering graduate programs.

2
📥 Get the tool

Download it to your computer and open it up — it's ready to use right away.

3
✏️ Add your background

Type in your school courses, grades, test scores, and work experience — just like filling out a simple form.

4
📊 See your strengths and fit

Instantly get colorful score bars for math, stats, and more, plus a list of dream schools sorted as reaches, targets, and safeties.

5
⚠️ Spot and fix gaps

Review personalized tips on missing courses or weak spots, with exact steps to strengthen your profile.

6
🤖 Get AI strategy report

Connect a smart helper to create your custom action plan, essay ideas, and timeline with all deadlines.

🎓 Ready to apply confidently

With your ranked school list, gap fixes, and full plan, you know exactly which programs to target and how to stand out.

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Star Growth

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AI-Generated Review

What is QuantPath?

QuantPath is a Python open-source GitHub tool that helps applicants to top Master of Financial Engineering (MFE) programs evaluate their profiles, match prerequisites, and build data-driven school lists. You feed it your transcript and resume via YAML or AI-parsed text, and it spits out CLI reports with dimension scores (math, stats, CS, finance, GPA), reach/target/safety rankings for 28 programs like Baruch MFE and CMU MSCF, gap analysis, timelines, test requirements, and ROI calcs. It pulls from QuantNet data and real admissions for logistic regression admit probabilities, all under MIT open-source GitHub license.

Why is it gaining traction?

It ditches pricey consultants ($4.5k+ per school) for instant, free AI-powered advice via Claude integration—parse resumes, get personalized reports in minutes. Standout CLI with rich tables, projected scoring for planned courses, interview question banks, and portfolio optimizers make it a practical open-source alternative to scattered program sites or volunteer forums. Early adopters love the YAML program database and one-command pipelines like `quantpath evaluate` or `gaps`.

Who should use this?

Prospective MFE applicants—math/stats/CS majors targeting quant finance masters at Princeton MFin, Berkeley MFE, or GaTech QCF. Ideal for international students checking TOEFL/GRE waivers, gap-filling course plans, or optimizing 10-school lists under fee budgets. Skip if you're not in financial engineering admissions cycle.

Verdict

Grab it if you're applying to MFEs: solid alpha with 173 tests, Streamlit dashboard, and Claude advisor, despite 15 stars and 1.0% credibility score signaling early days. Polish data contributions via PRs to boost maturity—niche but punches above weight for open-source GitHub MFE tools.

(198 words)

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