Course Schedule Overview
Detailed timing and session planning for our comprehensive algorithmic trading programs starting August 2025
Machine Learning Foundations
12 WeeksThis foundational course covers statistical analysis, data preprocessing, and basic machine learning algorithms. Students learn Python programming essentials and work through practical exercises using real market data. Each session includes interactive workshops where participants build their own predictive models.
Advanced Trading Algorithms
16 WeeksWeekend intensive sessions focus on complex algorithmic strategies and portfolio optimization techniques. Students develop comprehensive trading systems while learning risk management principles. The program includes guest lectures from industry professionals and hands-on projects using professional trading platforms.
Quantitative Risk Management
8 WeeksEvening sessions concentrate on mathematical modeling for risk assessment and portfolio protection strategies. Participants analyze historical market crashes and develop robust risk monitoring systems. The curriculum emphasizes practical application through real-world case studies and simulation exercises.
Enrollment Information
Our structured learning approach allows students to progress at their own pace while maintaining consistent engagement with instructors and fellow participants.
Flexible Scheduling
Multiple session times accommodate working professionals with evening and weekend options available throughout the program.
Online Learning Platform
Interactive virtual classrooms with recorded sessions, discussion forums, and collaborative project spaces for continuous learning.
Personalized Support
Small class sizes ensure individual attention with one-on-one mentoring sessions and personalized feedback on projects.