Advice for MFE programs

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I am currently pursuing an econ and math major. For my electives in third and fourth year, I want to pursue one of the following two options:

Option 1: Computer Science-
1)Introduction to programming
2)Software construction
3)Data structures and algorithms
4)Machine learning(I have to take first three to take machine learning)

Option 2: Statistics-
1)Intermediate statistics for application(regression analysis, time series, model fitting)
2)Introduction to Statistical Inference(Sampling distribution theory, large sample theory and methods of estimation and hypothesis testing)
3) Time Series and Forecasting(Trend and seasonality, autocorrelation, stationarity, stochastic models, exponential smoothing, Holt-Winters methods, Box-Jenkins approach, frequency domain analysis)
4)Bayesian statistics

I will also be taking math courses in probability, differential equations, numerical methods, stochastic processes, calculus III and real analysis and economics courses in econometrics. Given my background, what option should I go for? I can't go for a mix of both since comp sci courses are 4 credits and stat courses are 3 credits so mixing and matching any of them is a no-go.
 
Hi I’m curious. What do schools teach in ML? Isn’t it just all importing packages?
 
Schools mainly teach how to import packages and some concepts on MLE and some formulae such as Fourier laplace etc. I feel ML is so much more mathematical than that…
 
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