SDSC4018 - AI in Systematic Trading

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester B 2022/23 (Tentative)

* The offering term is subject to change without prior notice
Course Aims

This course offers students the review of financial systems as well as machine learning, artificial intelligence, and optimization techniques utilized in nowadays financial fields. Students will obtain technical knowledge in collecting a variety of financial data, developing trading algorithms, and optimizing overall portfolio performance. The goal of this course is to help student establish a clear map of frameworks for developing the artificial intelligence serving financial systems.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science