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I was wondering whether anyone has taken this course and if so whether they could comment on it. The course title is Statistical Methods in Finance.
That's not really what I think about when choosing a course tbh -- I'm paying them to put me through the wringer. On the surface it looked like a nice second course in statistics driven by apps to finance which is what drew me in.It's useful as a GPA booster tbh.
Yeah, I know what you mean. I meant that in a more sarcastic sense though I know ppl who take courses to boost GPA... Did that somewhat a long time ago in undergrad...That's not really what I think about when choosing a course tbh -- I'm paying them to put me through the wringer. On the surface it looked like a nice second course in statistics driven by apps to finance which is what drew me in.
Is this an elective for the MS Financial Economics program? That's the only reason you'd be interested in it I reckon. For someone with your background this should be like a prerequisite course tbhThat's not really what I think about when choosing a course tbh -- I'm paying them to put me through the wringer. On the surface it looked like a nice second course in statistics driven by apps to finance which is what drew me in.
It is listed as an elective on the MAFN website, though I think as a fin econ student I would be able to request to enroll. I would think stats/OR/MSFE (Eng) masters students could also take it. I had been looking at some of the stats courses listed here Ph.D. Specialization in Data Science - The Data Science Institute at Columbia University , but the stats methods in finance class appealed to me because of the focus on finance applications. It seemed like more than an intro course when I first was looking at it; the syllabus @Andy Zhang attached above shows otherwise.Is this an elective for the MS Financial Economics program? That's the only reason you'd be interested in it I reckon. For someone with your background this should be like a prerequisite course tbh
I'd only take it if you need a GPA booster. Otherwise, I think taking machine learning, deep learning or time series electives would be better for interviews. IEOR has both machine learning (Alonso) and deep learning (Hirsa) though some OR students go for the EE-version machine learning course taught by John Paisley.It is listed as an elective on the MAFN website, though I think as a fin econ student I would be able to request to enroll. I would think stats/OR/MSFE (Eng) masters students could also take it. I had been looking at some of the stats courses listed here Ph.D. Specialization in Data Science - The Data Science Institute at Columbia University , but the stats methods in finance class appealed to me because of the focus on finance applications. It seemed like more than an intro course when I first was looking at it; the syllabus @Andy Zhang attached above shows otherwise.
Did you check here (it'll take some time before Fall 2021 schedules come...)? CU Directory of ClassesI already have machine learning, AI, dynamic programming and reinforcement learning, and NLP on my list all through the business school. I'm also required to take a year long financial econometrics course, 1/2 on time series and 1/2 on panel data. I've been looking at Bayesian stats, computational stats, and a couple other stats courses -- stats methods in finance being one -- just to get more breadth.
I hadn't seen this before, thanks a lot!Did you check here (it'll take some time before Fall 2021 schedules come...)? CU Directory of Classes
While I’m not positive, I think the answer is likely no (aside from opting out of the computing for business research course). “The Master of Science in Financial Economics is a STEM eligible degree that requires four semesters (fall and spring) of full-time study at Columbia Business School.” — I think the minimum number of courses to be considered a full-time student is 4.Thanks! Do you know if we can take fewer classes for 1st semester of 1st year and take these required courses later? Cause it'll be the recruiting season in the fall semester so it's been my biggest concern. Sorry I got another question; I've contacted the director but he is on a vacation now so haven't got any response yet.
I’m not really sure. Perhaps reach out to some current students/recent graduates on LinkedIn and see what their first semester experience was like. In my opinion, the main value add of this program over other quant finance programs is the PhD level curriculum (I know you can take PhD courses at other programs but nowhere else are you getting 10 of them), and this absolutely can be used as a selling point in interviews in order to distinguish yourself from candidates from other quant masters programs. Why shoot yourself in the foot and take masters level coursework in your first semester?Sorry, I meant taking the required course later while take some master courses in the first semester. Cause I think master courses are better during a recruitment season?