Hi guys, long lurker here, first actual post! I'm currently in the first semester of my Applied math masters programs, and I'm having a hard time choosing my next courses. My background is a Math major with Actuarial science minor, so I did a lot of probability/stats, but also did all the typical bachelor math stuff such as Real Analysis. My goal is to work as a Quantitative researcher, preferably in HFT.

So as for now I only took two courses in my masters:

Feel free to ask for more details about any courses! Thanks in advance for any help you could provide!

So as for now I only took two courses in my masters:

- Probability (measure theory based)
- Univariate Time Series

- Stochastic calculus
- [COMP SCI] Dynamic programming/Mathematical programming (which one to choose?)
- [COMP SCI] Fundamentals of Machine Learning
- Geometrical Data Analysis (half of the course is about Topological Data Analysis)
- Scientific computing (numerical analysis)
- Dynamical Systems
- Advanced Statistical Inference Methods

- [COMP SCI] Probabilistic Graphical Models
- [COMP SCI] Advanced Structured Prediction and Optimization (PGMs would be a prerequisite)
- Combinatorics (advanced Graph Theory)
- Numerical methods for PDEs
- Algebraic Topology
- Groups Theory
- Lie Group Theory
- [COMP SCI] Cryptography
- [COMP SCI] Introduction to Quantum computing
- [COMP SCI] Deep Learning: Advanced Topics

Feel free to ask for more details about any courses! Thanks in advance for any help you could provide!

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