Hybrid courses include the “recent research” courses, DSB 408 and 409, and the DSB 420 supervised capstone project course. Some students will take the ...

Data Science in Biomedicine combines foundational training in all areas of data science including machine learning, statistics, data mining, algorithms...

The Data Science in Biomedicine MS provides training in Data Science, Machine Learning, Statistics, Data Mining, Algorithms, and Analytics UCLA ESAP · UCLA Biodesign AI · Admissions · Course Descriptions

Most students will take the DSB 200 Foundations in Data Science course which is a prerequisite for the remaining core courses. Students who already have a ...

Study offers background in mathematical and engineering foundations that are building blocks of data science. Topics include linear algebra, probability, and ...

UCLA Biodesign AI combines rigorous training in foundational data science at the intersection between AI applications in healthcare and software engineering.

The Data Science in Biomedicine MS program will help to create leaders in biomedical data science whose research will directly impact patient care.

She received her B.S. in Engineering from UCLA and her M.S. and Ph.D. in Mechanical Engineering from the California Institute of Technology.

TCGB is a fully automated, high-throughput genomic Center equipped with all major next generation sequencing. Pricing · Contact Us · Service Request Form · Services

The goal of the Data Science area of study is to equip students with both practical tools and theoretical knowledge to make sense of large amounts of data.