Students who have taken significant coursework in management science and quantitative methods while at Tuck may receive formal recognition for their course of study. This designation often appeals to students planning post-Tuck careers with a quantitative or technical focus. To qualify, students must pass or exempt the core Analytics 1 and 2 courses and take at least 15 elective credits from a menu of qualifying courses during the two-year MBA program. The 15 elective credits used to qualify can include no more than one full-course equivalent grade of LP (one full-course equivalent is one full-term course or two mini courses). This STEM-designated MBA may grant an additional 24 months of Optional Practical Training to students studying on an F-1 visa.
Qualifying management science and quantitative methods electives:
Advanced Managerial Accounting (AMA)
AI-Driven Analytics and Society (RTPAS)
AI for Managers (AIM)
Applications of Optimization (AO)
Business Applications of Natural Language Processing (NLP)
Corporate Finance and Shareholder Activism (CFSA)
Corporate Valuation (CV)
Customer Analytics (CA)
Data Analytics Project Lab (ENGM 204)
Derivatives and Risk Management (DRM)
Empirical Evidence in Finance: Asset Pricing and Factor Investing (RTPEF)
Energy Economics (EECON)
Equity Analytics in Organizations (RTPEA)
Fundamentals of Web Programming (FWP)
Futures and Options Markets (FOM)
Growth Economics (GE)
Health Care Analytics & Society (HCAS) [formerly Health Care Analytics (HCA)]
Investments (INV)
Managerial Accounting (MA) *Note that Managerial Accounting Mini (MAM) does not qualify
Marketing Research and Analytics for Data Driven Growth (MRA) formerly Marketing Research (MR)
Management of Service Operations (SOPS)
NLP, Machine Learning and AI in Finance (RTPNL)
Operations Strategy (OPS)
Optimization Modeling for Prescriptive Analytics (OMPA)
Predictive Analytics with Generative AI (PAGA) formerly Data Mining for Business Analytics (DMBA)
Professional Decision Modeling (PDM)
Quantitative Digital Marketing (QDM)
Quantitative Investing with Python (QIP)
Quantitative Private Equity (RTPQP)
Real Estate (RE)
Retail Pricing Analytics (RPA) [formerly Retail Pricing Strategies & Tactics (RPST)]
Supply Chain Management (SCHM)
Supply Chain Management Mini (SCMM)
Tools for Improving Operations (TFIO)
VBA Programming (VBAP)
In addition, up to three credits from qualifying technology and innovation management courses may be counted towards the 15 required credits.
Qualifying technology and innovation management courses:
Digital Operations (DOP) formerly Data-Driven Analytics for Innovative Operating Models (DDA)
Digital and Social Media Marketing (DSMM) [formerly Digital and Social Media Strategy (DSMS)]
Digital Change Strategies (DCS) formerly Strategic Change in Turbulent Digital Environments (DSTRT)
Ecosystem Strategy (ES)
Entrepreneurship and Innovation Strategy (EIS)
FinTech Topics: Blockchain, Crypto Currencies, and Decentralized Finance (BCCDF)
Global Structure and Conduct of Firms (RTPGS)
Marketing in the Network Economy (IMKTG)
Multichannel Route-to-Market Strategy (MCRTM)
Platform Design, Management and Strategy (ENGM 190)
Product Design and Development (ENGM 191)
In rare cases, non-Tuck courses that have been approved to be taken for Tuck credit may count toward the management science and quantitative methods option. Such coursework must be consistent with the qualifying sequence of study. Petitions should be sent to tuck.registrar@tuck.dartmouth.edu, and should include a course syllabus, assignments, and exams (if possible).
At the end of the spring term of their second year, an audit will be done to ensure that students pursuing the option have successfully completed all requirements.
Questions should be directed to tuck.registrar@tuck.dartmouth.edu.