This elective course provides foundational knowledge and explores current issues in financial market trading, with a focus on algorithmic and high-frequency strategies. You will delve into topics such as optimal execution, analysis of execution quality, limit order markets, and the intricacies of market structure. The curriculum covers price decomposition, VWAP benchmarking, and metrics for information asymmetry like PIN and VPIN, alongside the price impact of order flow imbalance. The course examines trading across various markets, including equities, options, futures, and cryptocurrencies. Practical experience is gained through hands-on analysis using Kdb+ and Python with real intraday data in Jupyter notebooks.
The course covers foundational concepts and current issues in trading within financial markets, including algorithmic and high-frequency strategies, optimal execution, execution quality analysis, limit order markets, and market structure. Topics include price decomposition, VWAP benchmarking, information asymmetry metrics such as PIN and VPIN, and price impact of order flow imbalance. The course considers trading in equity, options, futures, and cryptocurrency markets.
This course equips students with practical skills and theoretical knowledge applicable to various roles in financial markets. Through hands-on analysis with real data and industry-relevant tools, graduates are prepared for careers involving trading, execution analysis, and market structure understanding.
TOEFL iBT score of at least 100 is required if English is not your native language. Waivers for English proficiency tests are not provided, regardless of previous education in English-speaking environments or institutions.
Tuition fees are for the Mellon College of Science (MCS) Masters programs for the 2026-2027 academic year. Living expenses are estimates and can vary. Health insurance is TBD. Loan fees are applicable for students using federal loans.
The tuition fee for the Market Microstructure and Algorithmic Trading program is $60,900 per academic year for both domestic and international students for the 2026-2027 academic year.
Estimated living expenses for the academic year, including housing, food, books, personal expenses, travel, and transportation, are $34,018. This estimate does not include health insurance or loan fees.
Graduates are prepared for roles such as Algorithmic Trader, High-Frequency Trader, Execution Analyst, Market Structure Analyst, and Quantitative Analyst, equipped with practical skills and theoretical knowledge for financial markets.
The application for Fall 2027 admissions opens on September 9, 2026. The specific application deadline is not specified.
If English is not your native language, a TOEFL iBT score of at least 100 is required. Test waivers are not issued under any circumstances.
This course utilizes Kdb+ and Python for hands-on analysis with real intraday data, often within Jupyter notebooks.