Our approach to learning is experiential, i.e. participants learn, primarily, by doing things. Towards that end, ex-cathedra lectures utilizing interactive notebooks (delivered via Jupyter and R Markdown technologies) are combined with computer practice exercises in Python and R, real-life financial and economic data analysis, and hands-on modeling experience.
Programming is seamlessly integrated in all courses. This helps students easily and intuitively build sophisticated financial models, solve challenging practical problems and make stunning interactive presentations. Importantly, this provides them with tools, also, to test the underlying assumptions and theories instead of just taking them on faith. We strongly encourage that.
The language of instruction is English. Classes are taught in the evening hours during the week and/or on weekends so that busy professionals can participate. While we prefer in-person interaction between program participants, we are prepared to organize live online participation for busy professionals should that become necessary.
Much of the in-class work is done in groups of 2 to 3 participants making the work more fun as well as allowing participants to learn from each other, not just from teachers. As an important part of the MCF experience participants get to "trade" in different asset classes utilizing a very realistic trading simulator. They, then, present their trading strategies and draw lessons from their successes and failures.
When assessing participants' progress, we particularly value the ability to understand, test, apply and argue about different concepts and tools, a proactive approach to problem solving, open mind and creativity as well as good team work. For most courses pre-exam activity and the activity in class carry well over fifty percent of the total grade.