BIOST514 - Biostatistics I
Course: BIOST514 (Biostatistics I) in BIOST department at University of Washington.
Credit Hours: 4 • Academic Level: year 5 undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 14 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the BIOST curriculum at University of Washington, helping students progress through degree requirements.
Courses unlocked by BIOST514
- BIOST546 - Machine Learning for Biomedical and Public Health Big Data
- HEOR552 - Application of Machine Learning in Health Economics and Outcomes Research
- PHG545 - Biostatistical Methods for Big Omics Data
- STAT570 - Advanced Regression Methods for Independent Data
- STAT527 - Nonparametric Regression and Classification
- BIOST504 - Foundations of Public Health for Biostatistics
- BIOST596 - Biostatistics Capstone I - Project Planning
- BIOST505 - Writing, Presentation, and Collaboration Skills for Biostatistics
- BIOST515 - Biostatistics II
- BIOST527 - Nonparametric Regression and Classification
- BIOST570 - Advanced Regression Methods for Independent Data
- BIOST522 - Statistical Inference for Biometry I
- BIOST545 - Biostatistical Methods for Big Omics Data
- GENOME545 - Biostatistical Methods for Big Omics Data
Academic Planning at University of Washington
Students planning BIOST514 at University of Washington should complete 0 prerequisites before enrollment.
Future Pathways: Completing BIOST514 enables enrollment in 14 advanced courses for further study
This year 5 course at University of Washington integrates into structured degree pathways for BIOST programs, supporting timely graduation and academic progression.