- Joined
- 9/17/21
- Messages
- 5
- Points
- 13
Dear everyone,
this is my first post. I was a sophomore in mathematics, and then I was diverted to the data science direction. I think data science will become an important part of the future of all industries, especially finance. Unfortunately, due to my school’s very old school and lack of understanding of data science, my curriculum is quite unreasonable, and the level of teachers and professors is insufficient, I cannot really learn useful knowledge from the classroom, whether it is theory or practice.
My compulsory courses are:
Mathematical analysis
Linear algebra
Numerical analysis (simple, will not even introduce svd, eigenvalues and Monte Carlo)
ODE
Probability Theory and Mathematical Statistics (Introduction)
Machine learning
Optimization theory and algorithm
Pattern recognition
Introduction to python
Elective courses are:
Multivariate statistical analysis
discrete mathematics
Time series analysis
Neural network and deep learning
Options Futures and Derivatives
Wavelet analysis
Digital image processing
stochastic process
Econometrics
Convex optimization
As you can see, as a data science major, these courses not only have very few mathematics and statistics courses (at least no real analysis, topology, complex analysis, functional analysis, sampling, FEM), and even computer courses are arranged The mess (at least no introduction to databases, parallel computing, distributed systems, and some languages such as C++), and few poor economics and finance courses. I will find nothing if I continue to study this way.
How can I plan my own learning path so that I can reach a qualified graduate standard when I graduate to study MFE or MSCF?
this is my first post. I was a sophomore in mathematics, and then I was diverted to the data science direction. I think data science will become an important part of the future of all industries, especially finance. Unfortunately, due to my school’s very old school and lack of understanding of data science, my curriculum is quite unreasonable, and the level of teachers and professors is insufficient, I cannot really learn useful knowledge from the classroom, whether it is theory or practice.
My compulsory courses are:
Mathematical analysis
Linear algebra
Numerical analysis (simple, will not even introduce svd, eigenvalues and Monte Carlo)
ODE
Probability Theory and Mathematical Statistics (Introduction)
Machine learning
Optimization theory and algorithm
Pattern recognition
Introduction to python
Elective courses are:
Multivariate statistical analysis
discrete mathematics
Time series analysis
Neural network and deep learning
Options Futures and Derivatives
Wavelet analysis
Digital image processing
stochastic process
Econometrics
Convex optimization
As you can see, as a data science major, these courses not only have very few mathematics and statistics courses (at least no real analysis, topology, complex analysis, functional analysis, sampling, FEM), and even computer courses are arranged The mess (at least no introduction to databases, parallel computing, distributed systems, and some languages such as C++), and few poor economics and finance courses. I will find nothing if I continue to study this way.
How can I plan my own learning path so that I can reach a qualified graduate standard when I graduate to study MFE or MSCF?
