Algorithmic Trading Strategies Certificate
Program Overview
This graduate certificate program in Algorithmic Trading Strategies provides aspiring financial engineers and professionals the knowledge and skills to design and implement financial trading systems. It emphasizes the role of software and automated decision support systems in trading strategies, preparing graduates for careers in algorithmic trading, quantitative analysis, and financial engineering. The program can be applied towards a full graduate degree from the School of Business.
Program Outline
Degree Overview:
This graduate certificate program in Algorithmic Trading Strategies is designed for aspiring financial engineers and technical professionals seeking to apply their skills to the dynamic world of finance. It provides a comprehensive understanding of the design and implementation of financial trading systems, with a focus on the role of software and automated decision support systems in trading strategies.
Objectives:
- Equip students with the knowledge and skills to design and implement financial trading systems.
- Emphasize the role of software and automated decision support systems in trading strategies.
- Prepare students for careers in algorithmic finance.
Outline:
- FE 545 Design, Patterns and Derivatives Pricing: This course covers the design and implementation of financial trading systems, including derivatives pricing.
- FE 570 Market Microstructure and Trading Strategies: This course explores the structure of financial markets and the strategies used by traders.
- FE 620 Pricing and Hedging: This course focuses on the pricing and hedging of financial instruments.
- FE 670 Algorithmic Trading Strategies: This course delves into the development and implementation of algorithmic trading strategies.
Careers:
- Algorithmic Trader
- Quantitative Analyst
- Financial Engineer
- Portfolio Manager
Other:
- The certificate program can be applied towards a full graduate degree from the School of Business, such as the master's in Financial Engineering.
- The evolution of financial systems technology has made algorithmic trading a dominant component of trade volumes on exchanges.
- Professionals working in algorithmic finance must be able to implement software and automatic decision support systems in dynamic markets to drive success in today's economy.