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Computational Finance: Modeling, Risk, and Algorithmic Trading

Probability and Statistics Foundations → Capstone Project: Integrated Financial System

This advanced learning path equips university students in CS and finance with the quantitative and computational skills needed for financial modeling, risk analysis, and algorithmic trading. It covers essential probability, statistics, and programming foundations, then builds into time series analysis, stochastic calculus, and machine learning, culminating in practical applications such as option pricing, portfolio optimization, and trading system design.

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15 steps · 15 nodes · 4 stages

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Path Steps

15 steps · 4 stages. Click any step to inspect it and see it on the Path Map.

Stage 1

Foundation

4 steps

Stage 2

Core Concepts

4 steps

Stage 3

Advanced Topics

4 steps

Stage 4

Specialization

3 steps

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Path Map

Path Steps

Foundation

Core Concepts

Advanced Topics

Specialization

Resources (0)

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