- Joined
- 5/26/23
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Hello everyone,
Currently I am an Economics student at Erasmus University Rotterdam, and I want to become a quantitative analyst in the future. Firstly, I would like to give some background info about my education:
So far I had the following relevant courses in my studies (in ECTS):
Multivariable Calculus - 4
Applied statistics - 8
Econometrics - 8
Introduction to Linear Algebra & Game theory - 4
Finance - 8
My 2-year cumulative GPA so far is 7.42/10, which is approx. 3.3-3.4/4 in US terms.
In my third year I will take the following relevant courses:
Introduction to Analysis - 6
Linear algebra - 6
Analysis - 6
Vector Calculus - 4
Financial derivatives - 4
Financial econometrics - 4
Alternative investments in finance - 15 (minor)
Seminar in Stock pricing - 12
Introduction to Python Course
Next to these I will have to take a transition year from economics to econometrics/statistics in order to apply for a rigorous MSc in Quant Finance/Statistics or something similar.
I have a few options below for this:
1, My university has a transition year specifically for this reason, you can find the syllabus here:
I'll take the specialisation in QF.
So:
Java programming - 4
Probability theory - 4
Statistics - 4
Intro to multivariate statistics - 4
Finance (econometrics) - 4
Simulation - 4
Econometrics 1 - 4
Econometrics 2 - 4
Nonlinear optimization - 4
Markov processes - 4
Linear programming - 4
Seminar in econometrics & OR - 4
Time series analysis - 4
optional Java programming - 4
52-56 ECTS
2, MIT Micromasters (mostly during the summer)
www.edx.org
3, Baruch pre-MFE program
4, Berkeley Haas pre-MFE program
mfe.haas.berkeley.edu
5, UCLA's recommended courses for Financial Engineering
6, University of Chicago's preparation course, specifically for economics students
7, CQF
8, Your recommendations for a pre-master
My main question is the following: based on your expertise in QF and/or your experience with any of the abovementioned programs, which option(s) would you recommend and why?
Thank you for your answers beforehand!
Currently I am an Economics student at Erasmus University Rotterdam, and I want to become a quantitative analyst in the future. Firstly, I would like to give some background info about my education:
So far I had the following relevant courses in my studies (in ECTS):
Multivariable Calculus - 4
Applied statistics - 8
Econometrics - 8
Introduction to Linear Algebra & Game theory - 4
Finance - 8
My 2-year cumulative GPA so far is 7.42/10, which is approx. 3.3-3.4/4 in US terms.
In my third year I will take the following relevant courses:
Introduction to Analysis - 6
Linear algebra - 6
Analysis - 6
Vector Calculus - 4
Financial derivatives - 4
Financial econometrics - 4
Alternative investments in finance - 15 (minor)
Seminar in Stock pricing - 12
Introduction to Python Course
Next to these I will have to take a transition year from economics to econometrics/statistics in order to apply for a rigorous MSc in Quant Finance/Statistics or something similar.
I have a few options below for this:
1, My university has a transition year specifically for this reason, you can find the syllabus here:
I'll take the specialisation in QF.
So:
Java programming - 4
Probability theory - 4
Statistics - 4
Intro to multivariate statistics - 4
Finance (econometrics) - 4
Simulation - 4
Econometrics 1 - 4
Econometrics 2 - 4
Nonlinear optimization - 4
Markov processes - 4
Linear programming - 4
Seminar in econometrics & OR - 4
Time series analysis - 4
optional Java programming - 4
52-56 ECTS
2, MIT Micromasters (mostly during the summer)
Mathematical Methods for Quantitative Finance
Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R.
3, Baruch pre-MFE program
The Pre-MFE Program at Baruch College
Baruch Pre-MFE Information Session will take place on Wednesday, January 20, 7pm Registration here. Enrollment is now open for the 2020-2021 Pre-MFE Online seminars and will continue until all seats are filled. The Financial Engineering Program at Baruch College offers a Pre-MFE Program...
mfe.baruch.cuny.edu
4, Berkeley Haas pre-MFE program
MFE Preparation | Master of Financial Engineering | Berkeley Haas
Considering applying to the Berkeley MFE Program? From math to statistics and C++, these pre program MFE courses review the concepts needed for success.
mfe.haas.berkeley.edu
5, UCLA's recommended courses for Financial Engineering
6, University of Chicago's preparation course, specifically for economics students
Prep Course | Financial Mathematics | The University of Chicago
The University of Chicago’s Financial Mathematics Program offers courses in option pricing, portfolio management, machine learning, and python to prepare students for careers in quantitative finance.
finmath.uchicago.edu
7, CQF
8, Your recommendations for a pre-master
My main question is the following: based on your expertise in QF and/or your experience with any of the abovementioned programs, which option(s) would you recommend and why?
Thank you for your answers beforehand!