Biostatistics, MS - Health Data Science (HDS) Concentration

Required Courses

• BIOST 2025 - BIOSTATISTICS SEMINAR
• BIOST 2036 - INTRODUCTION TO HEALTH DATA SCIENCE
• BIOST 2037 - FOUNDATIONS OF STATISTICAL THEORY
• BIOST 2039 - BIOSTATISTICAL METHODS
• BIOST 2049 - APPLIED REGRESSION ANALYSIS
• BIOST 2079 - INTRODUCTORY STATISTICAL LEARNING FOR HEALTH SCIENCES
• BIOST 2081 - MATHEMATICAL METHODS FOR STATISTICS
• BIOST 2087 - BIOSTATISTICS CONSULTING PRACTICUM
• BIOST 2094 - ADVANCED R COMPUTING
• EPIDEM 2110 - PRINCIPLES OF EPIDEMIOLOGY
• PUBHLT 2011 - ESSENTIALS OF PUBLIC HEALTH
• PUBHLT 2022 - THE DEAN’S PUBLIC HEALTH GRAND ROUNDS (two terms)
• BIOST 2021 - SPECIAL STUDIES (faculty-guided thesis research: two terms required; 1st term one credit, 2nd term 2 credits)

• OR

• BIOST 2022 - CAPSTONE PREPARATION

• AND

• BIOST 2099 - CAPSTONE

Elective Courses

10 Credits

In situations where a student’s special interests or needs indicate an alternative course is more appropriate it may be substituted with the permission of the student’s academic advisor. BIOST 2025 cannot be used to fulfill elective credits.

• BIOST 2063 - BAYESIAN DATA SCIENCE
• BIOST 2080 - ADVANCED STATISTICAL LEARNING
• BIOST 2093 - SAS FOR DATA MANAGEMENT AND ANALYSIS
• BMIS 2542 - DATA PROGRAMMING ESSENTIALS WITH PYTHON
• BMIS 2588 - DATA BASE MANAGEMENT
• INFSCI 2160 - DATA MINING
• INFSCI 2410 - INTRODUCTION TO NEURAL NETWORKS
• INFSCI 2595 - MACHINE LEARNING
• INFSCI 2725 - DATA ANALYTICS (Prior R, Java, or Python programming experience required)
• PHARM 5834 - PYTHON FOR DATA MANAGEMENT AND ANALYTICS
• STAT 2270 - DATA MINING

Total Credits: 40