Zyx


Total Posts: 1 
Joined: Sep 2016 


Hi,
soon I will be taking the following conversion course in order to apply for an MFEish next year.
I'm wondering what electives I should choose and I'm asking for advice. I thought about:  Advanced mathematical analysis,  Mathematics of finance and valuation,  Advanced statistics: distribution theory,  Advances statistics: statistical inference.
Is it a good choice? I'm not sure if I should cut out two half courses and add Discrete mathematics and algebra. I suspect that Game theory and Optimisation theory are not what I'm looking for.
I have one more question... After the exams I will have some time before I (hopefully) start my studies. Are there any books I should consider besides the ones needed for the course? I considered some on probability (an introduction + something more advanced) and maybe an introduction to real analysis, but I'm not sure.
I'll appreciate any help. 



rftx713


Total Posts: 98 
Joined: May 2016 


This isn't exactly a useful post in and of itself, but I'm also very interested to hear everybody's thoughts as I'm planning on starting this same program with almost the same coursework. I've done a fair amount of research and it does seem to offer the best structure overall, particularly for the cost, but I don't actually know what I'm talking about. 


deeds


Total Posts: 348 
Joined: Dec 2008 


"Are there any books I should consider besides the ones needed for the course?"
ok, just have to gently say
yes
and we would be doing you a disservice if we did not encourage you to apply your own effort in pulling together basic materials for your field of interest
Those orienting and research skills are much more important than a list of references, doing it yourself may impact how you direct your course of study
EDIT: turned it into english





Yes, it is a good choice (from what you can choose).
But (at least in context of statistical inference course) you should understand that it is just very beginning. This course will/should give you an understanding of how the statistical inference works. But in order to make you of it in practice, you need to practice, practice, practice. I would recommend to do it with R with some real data. Working with real data is the best way to understand both power and limits of statistical models and see that statistical analysis is both art and science. 
www.yetanotherquant.com  Knowledge rather than Hope: A Book for Retail Investors and Mathematical Finance Students 
