Academia

ARPM collaborates in multiple ways with universities offering courses and study materials to programs in quantitative finance, economics, engineering, physics, mathematics, computer science, statistics, data science.

Learning Management System (LMS)

Advanced Risk and Portfolio Management (ARPM) has spent the past 10 years building our experience in teaching hard sciences online.

We will take your existing course material, bring it to life on our platform, and train you on how to best deliver it to your students online.

For a preview of our learning management system, please watch the brief demonstration video below. Please note that the video demonstrates the material, schedule and format of an ARPM course, but the LMS platform can be configured for any study materials, class schedule and class format.

ARPM provides both a cutting-edge e-learning management system and the method to use it effectively. This combination of platform and method makes delivering courses through ARPM superior to improvised combinations of off-the-shelf platforms and outdated methods.

Our platform not only provides an organized repository for your study materials and virtual classrooms for large group lectures and breakout sessions, but also notifications and reminders, communication tools including Q&A forums, and multiple progress tracking options. We track each student's class attendance and performance on homework, tests and quizzes, as well as how much time they spend studying the materials and even participating in the Q&A forums. All of this information is made available to both instructors and students via a detailed progress tracking interface.

Our method has been honed to maximize the effectiveness of the e-learning environment. We have developed a unique flipped classroom approach, with strict timing requirements. Students come to class prepared to discuss the materials rather than attempting to absorb new material during the lectures: we incentivize engagement before the live sessions by sending timed pointers and assigning portions of the course grading weight to work done before the live class. Classes are frequently split into small-group discussions to maximize participation. In these ways and others, we achieve results that are equal to if not superior to what is achieved with the traditional classroom approach.

And if your coursework happens to be in the areas of quantitative finance or statistics, we can also provide access to our content: we map your syllabus to our theory, case studies, and exercises; video lectures with matching slides; data animations and Python, MATLAB and R code that generate the practical case studies. We can even provide you with complete, off-the-shelf advanced quantitative finance courses.

Top universities around the world including New York University, Rutgers, Fordham, Jiaotong, and La Sapienza work with ARPM to deliver masters-level quantitative finance courses.

Click the “Learn More” button to:

  • Register for our live seminar on best practices for online instruction
  • Access paid sections of our platform
  • Attend one of our e-classes and experience our best practices from the student’s perspective.

Note: all of the above will be provided free for university instructors.


Quant Bootcamp academia delivery

  • partner universities include the Quant Bootcamp in their program as an elective course
  • partner university students attending the Quant Bootcamp (onsite/online) earn credits toward the completion of their degree.

Quant Marathon academia delivery

  • partner universities deliver the courses of the ARPM Quant Marathon to their students, according to the most effective teaching practice for the hard sciences: core functions provided by universities, web-based self-study support materials outsourced to ARPM
  • partner university students earn credits toward the completion of their academic degree.

Contact us to learn more about the ARPM Academia program

Partner universities

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