Follow along with the video below to see how to install our site as a web app on your home screen.
Note: This feature may not be available in some browsers.
Normal
I'll take the other side of the trade from my respected colleague [USER=42234]@noether-skolem[/USER].Key Assumptions: Junior year, so you'll have another year to take some elective courses; Planning to go to work right after school; have access to courseraI'd vote ECON 472 - Financial Econometrics. You'll gain a solid foundation in a useful subject needed for a lot of fields in finance. The Grad class would be better if you're planning on doing an MFE, but I suspect it's going to be very heavily math based. Check w/ professor / syllabus to see if you can hang.The ML course is definitely a must, but might be better senior year. If your school has a pure ML / DS sequence, I would opt for that over the "econ + ML" Very often the field specific level courses cover ML in a recipe-book fashion with limited time to really understand important concepts in ML. You can get the same basic exposure over winter break w/ a few coursera courses. The higher level stuff is harder to find.The only compelling reason to take ML is if you haven't scored an internship. That course will be more of an attention grabber, and likely help w/ recruiting.
I'll take the other side of the trade from my respected colleague [USER=42234]@noether-skolem[/USER].
Key Assumptions: Junior year, so you'll have another year to take some elective courses; Planning to go to work right after school; have access to coursera
I'd vote ECON 472 - Financial Econometrics. You'll gain a solid foundation in a useful subject needed for a lot of fields in finance. The Grad class would be better if you're planning on doing an MFE, but I suspect it's going to be very heavily math based. Check w/ professor / syllabus to see if you can hang.
The ML course is definitely a must, but might be better senior year. If your school has a pure ML / DS sequence, I would opt for that over the "econ + ML" Very often the field specific level courses cover ML in a recipe-book fashion with limited time to really understand important concepts in ML. You can get the same basic exposure over winter break w/ a few coursera courses. The higher level stuff is harder to find.
The only compelling reason to take ML is if you haven't scored an internship. That course will be more of an attention grabber, and likely help w/ recruiting.