Introduction to biomedical data science

After the college entrance examination, the younger brothers and sisters ushered in an important moment in their lives. Biomedical data science is a good choice. Let's introduce it to everyone.

Training objectives?

This major trains applied talents with biomedical background knowledge, good political quality and moral cultivation, all-round development in morality, intelligence, physique and aesthetics, solid foundation in mathematics and computer programming, strong data mining and machine learning skills, ability to solve practical problems by using big data methods, and ability to engage in data analysis and management in biomedical, disease prevention and control, health management and other fields.

Training requirements?

Students mainly study the basic theories and knowledge of pharmacy, bioinformatics, big data science and technology, artificial intelligence, basic medicine and other disciplines, receive basic experimental skills training of medicinal chemistry, pharmacology, bioinformatics, artificial intelligence and other related disciplines, and have the basic ability of medical data research and development, medical data collection and training.

Main course?

Python programming language, introduction to biomedical data science, Linux operating system, C language programming, Perl language, numerical analysis, introduction to basic medicine, introduction to clinical medicine, medicinal chemistry, pharmacology, introduction to artificial intelligence, biostatistics, data structure, database principle, Hadoop big data technology, machine learning, biomedical molecular modeling, bioinformatics, pharmacokinetics.