Dartmouth Tuck

Executive Summary

Dartmouth Tuck has expanded its AI curriculum since 2022-2023, offering multiple AI-focused courses across electives and research-to-practice seminars. The Glassmeyer/McNamee Center for Digital Strategies coordinates AI initiatives, hosting the annual Dartmouth AI Conference and operating MBA Associates and Fellows programs. Tuck references Dartmouth's 1956 founding role in AI (Dartmouth Summer Research Project coined the term "artificial intelligence"). No formal AI certificate program; approach emphasizes cross-disciplinary integration rather than siloed specialization.

1. AI Integration into MBA Curriculum

Core Curriculum

Two-course Analytics sequence provides foundation for AI electives. Focus on analytic methods for modeling decision problems and data-driven decision-making. No formal AI certificate; approach embeds AI across multiple disciplines.

AI Electives

• Optimization Modeling for Prescriptive Analytics — Linear programming, network models, optimization; applications in cloud allocation and personalized advertising. James Siderius.
• AI-Driven Analytics and Society — Responsible ML, bias in datasets, GenAI/LLMs in operations, automation's labor market impact. James Siderius.
• AI and Consultative Decision-Making — Using GenAI/LLMs for high-stakes organizational decisions. Scott Anthony.
• Business Applications of Natural Language Processing — NLP applications in business. Dean Alderucci (senior advisor for AI to Congress, 2024).
• NLP, Machine Learning, and AI in Finance — Finance applications of big data textual methods; merger prediction, VC business plan evaluation. Gordon Phillips.
• Generative AI and the Future of Work — GenAI foundations, strengths/weaknesses, workplace applications. Alva Taylor.
• AI for Managers — Broad exposure to AI applications in marketing and business.
• Data, Models, and Decisions — Logistic regression, optimization, Monte Carlo simulation. Raghav Singal.
• FinTech — ML principles applied to lending and investment, robo-advising. Juhani Linnainmaa.
• Quantitative Investing with Python — ML for return prediction; no prior Python required. Juhani Linnainmaa.
• Equity Analytics in Organizations — Using data to identify organizational inequity; AI and hiring biases. Julia Melin.

2. Career Placement

2024 MBA Employment Data:

• 11% placed in Technology sector
• 90%+ secured employment within 3 months of graduation
• Top industries: Consulting (47% in 2022), Financial Services, Technology, Health Care/Pharma/Biotech
• Tech placements confirmed at Amazon, Apple, Google, Microsoft
• No published AI-specific placement metrics (no breakdown for AI/ML roles, data science, AI product management)

3. Centers and Labs

Glassmeyer/McNamee Center for Digital Strategies (2001). Primary AI hub. Hosts annual Dartmouth AI Conference, operates MBA Associates (first-year) and Fellows (second-year) programs, publishes AI research, runs Tech@Tuck Learning Series and AI workshops. Faculty Director: Alva Taylor; Executive Director: Patrick Wheeler.

4. Key Faculty in AI/ML

Research Distinction: Faculty span AI applications (finance NLP, operations optimization), AI ethics and societal impact (bias, transparency, misinformation), and AI policy (federal legislation, corporate strategy). Phillips' work published in Journal of Political Economy, Journal of Finance, Review of Economic Studies. Alderucci bridges academic research with policy implementation through Congressional advisory role.

5. Partnerships

Note: No formal corporate AI research partnerships or AI startup accelerator program publicly documented.

6. Programs/Competitions/Clubs

The Dartmouth AI Conference - Annual flagship event held since 2023, moved to San Francisco Bay Area (2024-2025: Computer History Museum, Mountain View). Full-day conference with industry speakers on AI in healthcare, policy, security. References Dartmouth's 1956 founding role in AI (Dartmouth Summer Research Project). Open to Dartmouth-affiliated individuals.

MBA Associates Program (First-Year) - Structured digital strategies learning through Center for Digital Strategies engagement.

MBA Fellows Program (Second-Year) - Selective program working on AI/digital strategy initiatives with the Center.

Technology Club - General tech industry focus. Activities: networking, case competitions, speaker series, career support. Major events: Geirheads Technology Conference (fall), Technology Trek (winter to Silicon Valley/Seattle).

Research-to-Practice (RTP) Seminars - Small-scale seminars with student-led presentations on scientific papers. Multiple AI-focused RTPs offered.

Sprint Courses - Intensive short-format courses allowing rapid deep-dives (multiple AI sprints offered).

Vibe Coding Workshop - Recent initiative exploring no-code AI development through dialogue with AI.

Limitations: No dedicated AI/ML student club, no Tuck-hosted AI case competitions or hackathons identified.

7. Competitive Context

Rankings: MBA Crystal Ball editorial list (May 2025, explicitly "not a ranking") placed Tuck #6 in "Top MBA programs for Artificial Intelligence in USA" (after Wharton, Booth, MIT Sloan, NYU Stern, Kellogg; before CMU Tepper, Harvard).

Key Strengths:

1. Historical Legacy - Dartmouth hosted 1956 conference that founded AI as a field
2. Faculty Policy Experience - Alderucci's Congressional AI advisory role (2024) provides direct policy expertise
3. Cross-Disciplinary Integration - AI embedded across finance, marketing, operations, strategy rather than siloed
4. Center for Digital Strategies - Dedicated endowed center with 20+ year history, student Fellows/Associates programs
5. Recent Curriculum Expansion - Added multiple AI courses 2022-2025, including GenAI courses post-ChatGPT
6. Executive Education - Two AI-focused Executive Sprint programs: AI Transformation for Executives; AI and Data for Strategic Advantage

Areas with Limited Documentation:

• No AI certificate or formal concentration
• Limited AI-specific career placement data (11% in tech overall, no AI role breakdown)
• No dedicated AI student club or Tuck-hosted AI competitions
• No formal corporate AI research partnerships publicly announced

8. Sources

1. Dartmouth Tuck MBA
2. Glassmeyer/McNamee Center for Digital Strategies
3. From AI to FinTech: Inside New MBA Courses at Tuck
4. Dean Alderucci Faculty Profile
5. Gordon Phillips Faculty Profile
6. Dartmouth AI Conference
7. MBA Career Services