Core Coursework
The core coursework of the master’s degree in Epidemiology covers units that build a firm foundation in this essential field.
The Epidemiology curriculum also includes an optional 3-unit capstone that challenges students to refine their knowledge in skills while working on a real-world applied data project. Beyond showcasing technical knowledge, the capstone experience also provides the training in critical skills needed for professional success, such as scientific writing, presentation skills, and the ability to translate data science findings to non-data science stakeholders.
- QBS 130 Foundations of Epidemiology I: Theory and Methods
- QBS 131 Foundations of Epidemiology II: Theory and Methods
- QBS 132 Molecular Biologic Markers in Human Health Studies
- QBS 133 Clinical Epidemiology
- QBS 136 Applied Epidemiological Methods
- QBS 270 QBS Journal Club: Epidemiology (0.5 unit Fall)
- QBS 103 Foundations of Data Science
- QBS 101 Foundations of Programming for Data Scientists (1.5 units total taken over multiple terms)
- QBS 185.5 QBS Masters Capstone Preparation Course (0.5 unit course taken in winter term)
- QBS 185 QBS Masters Capstone Experience (3 units)
- QBS 700 Responsible and Ethical Conduct of Research does not count toward the units of coursework required for the MS degree.
- Students who matriculate Fall 2021 and beyond may not take more than 4 units of coursework per quarter unless approved by QBS administration and leadership.
Elective Coursework
Through the Epidemiology elective course options, students can dive deeper into advanced concepts such as applied epidemiology, biostatistics, machine learning, molecular biology, and healthcare systems.
- QBS 108 Applied Machine Learning
- QBS 110 Integrative Biomedical Sciences Seminar (0.5 unit)
- QBS 110.5 Integrative Biomedical Sciences Seminar Project (0.5 unit)
- QBS 122 Foundations of Biostatistics III: Modeling Complex Data
- QBS 123 Biostatistics Consulting Lab (0.5 unit)
- QBS 124 Advanced Biomedical Data Analysis
- QBS 125 Biomedical Informatics
- QBS 126 Analysis of Densely Collected Longitudinal Data
- QBS 139 Advanced Health Services Research
- QBS 140 Decision & Cost-Effective Analysis
- QBS 147 Genomics: From Data to Analysis
- QBS 177 Methods of Statistical Learning for Big Data
- QBS 180 Data Visualization (0.5 unit)
- QBS 181 Data Wrangling
- QBS 192 Health Informatics
- QBS 194 Biostatistics Journal Club
- QBS 195 Independent Study
- QBS 270 QBS Journal Club: Biostatistics (0.5 unit Winter)
- QBS 270 QBS Journal Club: Bioinformatics (0.5 unit Spring)
- QBS 271 Advanced Epidemiology Journal Club (0.5 unit; not offered every year)
- PH 111/QBS127 Medical Care Epidemiology: Principles, Applications and Insights
- PH 115/QBS144 Value and Resource Allocation
- PH 117/QBS 142 Introduction to Quality Improvement in Health Systems (0.5 unit)
- PH 122/QBS 129 Survey Methods
- PH 125/WBS 135 Introduction to Qualitative Methods for Public Health & Healthcare Studies (0.5 unit)
- PH 126/QBS 128 Statistical Measurement and Analysis for Healthcare Quality Improvement
- PH 131/QBS 138 Patient Centered Health Communication (0.5 unit)
- PH 151/QBS 145 Environmental Health Sciences and Policy (0.5 unit)
- PH 154/QBS 141 Determinants in Health Inequities (0.5 unit)
- No more than 3 journal clubs or 1.5 units of journal club courses may count towards elective credit.
- No more than 1 independent study may count towards elective credit.
- No more than 1 independent journal club may count towards elective credit.
- Seek administrative approval for non-listed electives. Email Monica Espinoza for additional information.
Learning Objectives
- Core competency in bioinformatics and biostatistics, and epidemiology
- Competency in foundational biostatistics for complex statistical modeling of public health data
- The ability to adapt and interpret epidemiological study designs for primary and post-hoc outcomes
- The ability to identify and validate molecular markers for use in clinical research.
- Working knowledge of clinical, global, molecular, and environmental exposure epidemiology
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