New Info Stanford

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Here's the infor directly from their website:

http://finmath.stanford.edu/index.html

This new track in the ICME M.S. Program will supersede, beginning in the fall quarter of 2014, the interdisciplinary M.S. Program (IDP) in Financial Mathematics in the School of Humanities & Sciences. The IDP has been offered by the Departments of Mathematics and Statistics since 1999, in close cooperation with the Departments of Economics, Management Science & Engineering, and Finance in the Graduate School of Business. The Financial Math program provides a master's-level education in applied and computational mathematics, statistics, and financial applications. The program has been consistently ranked among the top tier of Financial Engineering/Mathematics programs in the U.S. Its interdisciplinary and collaborative nature has expanded from education to research, culminating in the establishment of the inter-school and inter-departmental Financial and Risk Modeling (FARM) Institute at Stanford in 2012. The Institute is of timely relevance in the wake of the recent financial crisis, which exposed the weaknesses and limitations of traditional financial models, pricing and hedging theories, risk measures and management of derivative securities and structured products. Better use of information technology and data, and better models and strategies for investments, risk management and regulatory reforms are called for. While the establishment of FARM is timely for research towards these goals, time is also ripe for the Financial Mathematics program to integrate itself better with FARM by adopting a more computational and data-oriented approach. The Steering Committee of the Financial Mathematics Program has found ICME to provide a better environment for the envisioned growth of the program, which will be re-named Financial Analytics (FA) to address the new focus. Since several members of the Steering Committee are already on the faculty of ICME, the transition of Financial Mathematics to the FA track of the ICME M.S. program has proceeded smoothly, and the curriculum and degree requirements have been developed. Upon successful completion of the FA track in the ICME M.S. program, students will be prepared to assume positions in the financial industry as data and information scientists, quantitative strategists, risk managers, regulators, financial technologists, or to continue on to their Ph.D. in ICME, MS&E, Mathematics, Statistics, Finance and other disciplines.The MS track in Financial Analytics is overseen by a steering committee comprised of ICME faculty members Kay Giesecke (co-chair), Tze Lai (co-chair), Peter Glynn, George Papanicolaou, Bala Rajaratnam, and Darrell Duffie of the Graduate School of Business.
 
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This is probably closer in nature to Rutgers FSRM program.
Andy, why you say it's close in nature to Rutger's FSRM? emphasis on risk management?

It seems there is trend for quant's program focus more on data and statistics. This year, Baruch has included many courses concerning data, like big data or so. Stanford is another example... What would you say to this trend?
 
It seems there is trend for quant's program focus more on data and statistics. This year, Baruch has included many courses concerning data, like big data or so. Stanford is another example... What would you say to this trend?
It's the one to watch. Have you seen any big breakthrough coming out of FE/QF field in the last few years?
 
It's the one to watch. Have you seen any big breakthrough coming out of FE/QF field in the last few years?
I am not very sure... When it comes to real practice, I just have too little experience. I drew my conclusion simply by investigating different programs.
 
May I ask why you are comparing stanford's program to the two programs you mentioned? In terms of content?


I just going by why these programs website and curriculum content. also I have noticed that MFE are including course like data mining and machine learning apply in finance as elective courses, seminars/workshops and research centers


CONFERENCES/WORKSHOPS

The 20th Annual Workshop on Financial Engineering - Columbia
http://cfe.columbia.edu/20th-annual-workshop-financial-engineering

Statistics for Financial Risk Management - Rutgers
http://www.fsrm.rutgers.edu/nov-7-conference-program

Big Data Finance Conference- NYU Poly
http://bigdatafinanceconference.com/bigdata/?page_id=44

XBRL Workshop- Stevens
http://xbrl.stevens.edu/home



RESEARCH CENTERS:


The Financial Analytics Center - Columbia
http://idse.columbia.edu/financial-analytics


Financial System Center- Stevens
http://www.stevens.edu/fsc/

Center of Excellece for Financial Risk Management - Rutgers
http://www.fsrm.rutgers.edu/compone...ancial-risk-management-at-upcoming-conference
 
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