Curriculum: The courses are hard, the mathematics and computer courses are sufficient, and there are biology-related courses in the elective courses, which are optional.

Compulsory course 20 points:

Fundamentals of statistical inference (fall, 5 credits)

Introduction to Data Science (fall, 5 credits)

Data Science II (2,2.5 credits in spring)

Big Data Computing (2,2.5 credits in autumn)

Applied machine learning (spring, 5 credits)

Choose 5 points from computer elective courses:

Introduction to Data Structures and Algorithms (5 credits)

Genome data manipulation (5 credits)

Computational Statistics of Biomedical Science (5 credits)

Privacy and Technology (5 credits)

Software Engineering Computer Science (5 credits)

Data system (5 credits)

Visualization (5 credits)

Computational Linguistics (5 credits)

Introduction to stochastic processes (5 credits)