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Curriculum

The MA program requires at least 35 credits, excluding the 6 credits for the thesis.

Required Courses: 4 courses, total of 4 credits

Professional Preassign: 5 courses, total of 16 credits

Elective courses: at least 15 credits

  Course Name Required / Elective Credits
Specialized courses required Special Topics (1)~(4) Required 4
Professional Preassign Statistical Methods Required 4
  Data Science Required 3
  Optimization Methods Required 3
  Machine Learning Required 3
  Data Analysis in Practice Required 3
Elective courses High Frequency Financial Data Analysis Elective 3
  Data Visualization Elective 3
  Social and Information Network Analysis Elective 3
  Recommendation System (or other information related courses) Elective 3
  Deep Learning Elective 3
  Artificial Intelligence Elective 3
  Bioinformatics Elective 3
  *Elective courses offered by the Institute of Statistics Elective 3