Quant Guide 2020: programmes tap banks for teaching talent

Universities are adding machine learning and data science courses, but need instructors to teach them

Raised hands

Running a quantitative finance master’s programme is hard work. Adapting courses to meet the rapidly changing roles quants play in the banking industry is challenge enough for quant academia. Finding the right experts to teach newer skills can be harder still.

In recent years, the biggest structural change most programmes have faced is the migration of machine learning and data science topics from optional modules to a core part of the curriculum, with such skills now considered foundational by

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

Register

Want to know what’s included in our free membership? Click here

This address will be used to create your account

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here