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Questions on prefered coursework for Quant Marketing PhD application


hollypuppy

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Hi everyone! I am going to get into the master's program of economics later this year, and I plan to pursue a PhD in Quantitative Marketing.

In order to enhance my academic profile and prepare myself thoroughly, I am planning to enroll in some additional courses during my master's program.

To provide some context, I have completed the coursework below in economics, mathematics, and programming during my undergraduate studies:

1. Economics: Intermediate level Micro, Macro and Metrics; some field courses including game theory, behaviour economics, etc.

2. Mathematics: Multivariate Calculus, Linear Algebra, Mathematical Analysis, Partial Differential Equations, probability, statistics

3. Programming: Introductory level Python, Java, R (I self-taught basics in Stata), discrete mathematics

Moving forward, I am planning to take courses in Advanced Microeconomics, Advanced Econometrics, Advanced Industrial Organization, Applied Bayesian Modeling and Inference, Machine Learning, Natural Language Processing, Time Series Analysis, and Stochastic Processes.

However, I am also open to suggestions if there are any other courses that could be beneficial to my future applications.

I would be grateful if you could share your insights and let me know if any of the aforementioned courses are not necessary or if there are any other recommendations that you may have. Thank you for your time and assistance in advance!

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You probably have more than enough courses for the application, assuming you got good grades. I doubt they will really take such a detailed look at your coursework, a few more courses shouldn't make a difference. 

Now, it's nearly impossible to know what is going to be necessary or not. It depends a lot on your research and your advisor. A PhD is very narrow, it's not about knowing a wide range of things. Probably you won't really use 90% of the things you listed. 

I suggest thinking about the other parts of your application, like research experience and networking with professors to have many professors willing to write you a strong letter of recommendation. 

And maybe learning a little about marketing, especially the research related to your quantitative marketing interests. 

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