Real estate is becoming more quantitative, faster-moving, and more tech-enabled every year. We integrate data and modern tools directly into the student experience so graduates can contribute immediately in roles across acquisitions, asset management, capital markets, development, brokerage, valuation, and proptech. Students learn to:
- Work with real-world datasets and build analyses that stand up to professional scrutiny
- Use AI and LLMs responsibly to accelerate research, summarize and compare documents, extract structured information, and support underwriting and market diligence
- Translate analysis into clear memos, investment narratives, and presentations that decision-makers can use
- Develop a professional “analyst toolkit” that blends financial modeling, data analytics, and modern AI-assisted workflows
The Tavakoli Center also produces applied research intended to be directly relevant to real estate practitioners and stakeholders. Our work emphasizes:
- Objectivity and transparency: evidence-first analysis without advocacy-driven framing
- Applied relevance: research that aligns with how decisions are made in industry
- Policy value without the politics: insights that can improve outcomes while staying focused on facts, tradeoffs, and measurable impacts
The Data & Research pillar creates value across the real estate industry:
- Students gain tangible skills and a clear professional edge
- Industry partners gain access to high-quality talent trained on modern methods
- The market and community benefit from research that raises the quality of decision-making and public dialogue through credible, nonpartisan analysis.