University partnerships
Bring Machine Learning and Quantitative Finance into the classroom. ARPM supports university programs in finance, economics, engineering, physics, mathematics, computer science, and statistics.
The Academia Program provides faculty and students of partner universities with full or partial access, free of charge, to the following:
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ARPM Lab (opens in a new tab) : faculty and students have access to constantly updated online reference material on Machine Learning and Quantitative Finance: theory, code, animations, and more.
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Quant Bootcamp (opens in a new tab)
: students are welcome to attend the Live Streaming version of ARPM's flagship event, and a
select group of students are invited to attend the Onsite event in New York.
Completing the Quant Bootcamp grants academic credits towards one's degree at select partner
universities.
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Course enhancement: ARPM researchers help faculty complement their syllabi with interactive links to relevant parts of the Lab, across topics in Machine Learning and Quantitative Finance, and across channels: theory, code, animations, and more.
Upon request, ARPM can build a customized LMS to automatically monitor and report the student's progress in the Lab.
Upon request, ARPM researchers are available to provide remotely guest lectures based on the Lab.
In 2026, the Department of Economics collaborated with ARPM to provide eligible master’s students with funded Quant Bootcamp participation and five €1,200 mobility scholarships.
The MSc in Finance and Banking integrates the ARPM Lab into Advanced Topics in Finance and Insurance and funds Quant Bootcamp participation for enrolled students.
Collegio Carlo Alberto’s Long-Term Investors initiative provides access to the ARPM Quant Bootcamp and its associated Lab resources.
The Master in Quantitative Finance offers Advanced Risk and Portfolio Management, developed in partnership with ARPM, as a 6-CFU elective course.
The university agreement recognizes 7 CFU for internship activity and 5 CFU for other educational activities upon Quant Bootcamp attendance, with reduced fees and merit-based funding.
Students in ISEG’s Master’s in Mathematical Finance who complete the ARPM Quant Bootcamp receive the ARPM certificate and a corresponding mention in their Master’s Diploma Supplement.
UCEMA’s agreement with ARPM integrates the Quant Lab into its Master’s in Finance, providing structured Lab access and resources that students can use to support final thesis research.
The Master in Computational Finance and School of Computing partnership provides MCF students with exclusive access to ARPM Lab theory, case studies, code, animations, slides, and proofs.
PhD students in Markets, Business and Consumers can attend the ARPM Quant Bootcamp as an elective course and receive credits toward their doctoral program.
The MEMOTEF Department agreement gives eligible master’s and PhD students free Quant Bootcamp access and offers annual scholarships for selected students to participate onsite in New York.
The LMU Chair of Financial and Insurance Mathematics partners with ARPM to provide Lab resources and no-cost Quant Bootcamp access to eligible LMU affiliates.
The Fall 2021 Quantitative Methods in Finance course used ARPM videos, notes, animations, exercises, code, and weekly Lab sections.
Rutgers listed Topics in Mathematical Finance: Advanced Risk and Portfolio Management as course 16:643:628.
Participation in the ARPM Quant Bootcamp was recognized for 6 CFU upon certification of attendance.
The Department of Computer Science listed the ARPM Bootcamp within its academic seminar offering for 2019/20.
The University of Macerata presented ARPM educational initiatives and the Quant Bootcamp as advanced learning opportunities in machine learning, quantitative finance, and modern risk management.
Universities can integrate ARPM learning resources, the Quant Bootcamp, and structured quantitative finance paths into their academic programs.