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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)

3, Baruch pre-MFE program

4, Berkeley Haas pre-MFE program

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!
 
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):

Introduction to Multivariable Calculus - 4
Applied statistics - 8
Econometrics - 8
Introduction to Linear Algebra & Game theory - 4
Finance - 8
Linear algebra (proof based) - 6
Financial derivatives - 4
Financial econometrics - 4
Alternative investments in finance - 15 (minor)

And I am taking/will take the following courses this academic year:
Introduction to Analysis - 6
Vector Calculus - 4
Seminar in Stock pricing - 12
Introduction to Python Course

Next academic year:
Analysis - 6

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:
Studieschema
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)
3, Baruch pre-MFE program
4, Berkeley Haas pre-MFE program
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!
 
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