Course Schedule

Students are required to complete a total of 30 credits of coursework, including 12 credits of core courses and 18 credits of elective courses.  Subject to approval, students may take a maximum of 6 credits of courses from the Master of Science in Information Technology. 

Tentative course offering schedule:

2023-24 Fall Term

• MSBD 5001    Foundations of Data Analytics*
• MSBD 5004    Mathematical Methods for Data Analysis*
• MSBD 5006    Quantitative Analysis of Financial Time Series
• MSBD 5012    Machine Learning
• MSBD 5017    Introduction to Blockchain Technology
• MSBD 5018    Natural Language Processing
• MSBD 6000L  Database Systems
• MSBD 6000N  Understanding Large Language Models

2023-24 Spring Term

• MSBD 5002    Data Mining and Knowledge Discovery*
• MSBD 5003    Big Data Computing*
• MSBD 5005    Data Visualization
• MSBD 5007    Optimization and Matrix Computation
• MSBD 5008    Introduction to Social Computing
• MSBD 5010    Image Processing
• MSBD 5013    Statistical Prediction
• MSBD 6000M  Reinforcement Learning with Financial Applications

*Core course

All courses are offered subject to needs and availability. For the latest list of courses to be offered, visit Class Schedule & Quota.

For course details, please refer to Course Catalog.

_{^{(Updated on 30 August 2022)}}