Sry dude i am not completely following what you are saying - to be thorough i meant that some schools in their eagerness to offer same (often popular) programs as the rival schools, end up maybe “over-pitching” QF certificates to students ... theres a line somewhere between pitching something and promising something as worth more than it is, and by how much that Line is crossed or how often ii dont know .. meant nothing more than that
Other than that agree universities should be expected to uphold somewhat high academic standards regardless whats on the surface trendy at the moment and not “oversell” course programs
Coursework in Masters of Statistics
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bullero
- Posts: 0
- Joined: Thu Jan 01, 2004 12:00 am
Coursework in Masters of Statistics
In my opinion you should not think about what the firms are doing and base your decision on that. You should think what you like to study and which is going to benefit you in the long run. In your case both tracks are quantitative and thats nice - pick the one you like the most.
Why I think like this? At the end of the day these firms are looking for people who can "reason quantitatively". When I was working at of the large IBs I noticed that there were a lot of people with engineering background, from maths and physics all working side by side. The typical bschool people were doing the MA stuff. My guess is that distribution of academic backgrounds in trading firms is similar.
The way I interpreted this is that there has to be a set of features that these people have in common. I dont think that the recruiters especially were looking for people who understand Hilbert spaces to apply them in EUR swap trading or apply uncertainty principle in FX options. I think they just wanted people who have used to take a new idea or concept and apply the knowledge to some real world problem. That is what you learn in engineering and applied math (my own background focus in comp. linear algebra).
I have never taken a single course in ML. However it is not super difficult for me to pick up such a textbook and start reading. Suddenly you realize that its yet another application of the classic techniques you were modeling with MATLAB back in uni.
Edit: Forgot to mention that my opinion about these ML tracks is that yes you learn how to apply the techniques but the people I have seen do not see beyond the algorithms. Sometimes they lack understanding of the "physics of the math" they are using. Same analogy with pure finance people would be the mantra: "variance scales linearly with time" and if you ask why you get the answer "because thats how I was taught" without understanding what sort of maths are behind it.
Why I think like this? At the end of the day these firms are looking for people who can "reason quantitatively". When I was working at of the large IBs I noticed that there were a lot of people with engineering background, from maths and physics all working side by side. The typical bschool people were doing the MA stuff. My guess is that distribution of academic backgrounds in trading firms is similar.
The way I interpreted this is that there has to be a set of features that these people have in common. I dont think that the recruiters especially were looking for people who understand Hilbert spaces to apply them in EUR swap trading or apply uncertainty principle in FX options. I think they just wanted people who have used to take a new idea or concept and apply the knowledge to some real world problem. That is what you learn in engineering and applied math (my own background focus in comp. linear algebra).
I have never taken a single course in ML. However it is not super difficult for me to pick up such a textbook and start reading. Suddenly you realize that its yet another application of the classic techniques you were modeling with MATLAB back in uni.
Edit: Forgot to mention that my opinion about these ML tracks is that yes you learn how to apply the techniques but the people I have seen do not see beyond the algorithms. Sometimes they lack understanding of the "physics of the math" they are using. Same analogy with pure finance people would be the mantra: "variance scales linearly with time" and if you ask why you get the answer "because thats how I was taught" without understanding what sort of maths are behind it.
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carsonvictoria05
- Posts: 0
- Joined: Thu Jan 01, 2004 12:00 am
Coursework in Masters of Statistics
You have to kinda investigate the advanced issues of Statistics, choose which ones you'd like to comprehend, and be prepared for a long time of library time and instructing assignment service Intro to Statistics, as you'll presumably be utilized by the college also.