Core Coursework
The core coursework of the master’s degree in medical informatics covers units that build a firm foundation in this essential field.
The medical informatics curriculum also includes an optional 3-unit capstone that challenges students to refine their knowledge in skills while working on a real-world applied informatics 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 findings to an audience who might not necessarily hold domain expertise.
- QBS 180 Data Visualization (0.5 unit)
- QBS 181 Data Wrangling
- QBS 140 Decision & Cost Effectiveness Analysis
- QBS 192 Health Informatics
- QBS 139 Advanced Methods in Health Services Research
- PH 147 Advanced Methods in Health Services Research Project (0.5 unit) OR any approved QBS Journal Club:
- QBS 193 Independent Journal Club (0.5 unit)
- QBS 194 Biostatistics Journal Club (0.5 unit)
- QBS 270 QBS Journal Club: Epidemiology (Fall) (0.5 unit)
- QBS 270 QBS Journal Club: Bioinformatics (Winter) (0.5 unit)
- QBS 270 QBS Journal Club: Biostatistics (Spring) (0.5 unit)
- QBS 271 Advanced Epidemiology Journal Club (0.5 unit) (not offered every year)
- 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 MS Capstone Preparation Course (0.5 unit course taken in winter term)
- QBS 185 QBS MS Capstone (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 Medical Informatics 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 119 Biostatistics I: Applied Biostatistics or QBS 120 Foundations of Biostatistics I: Statistical Theory for the Quantitative Biomedical Sciences
- QBS 122 Foundations of Biostatistics III: Modeling Complex Data
- QBS 124 Advanced Biomedical Data Analysis
- QBS 125 Biomedical Informatics
- QBS 126 Analysis of Densely Collected Longitudinal Data
- QBS 146 Foundations of Bioinformatics I
- QBS 110.5 Integrative Biomedical Sciences Seminar Project (0.5 unit)
- QBS 110 Integrative Biomedical Sciences Seminar (0.5 unit)
- QBS 123 Biostatistics Consulting Lab (0.5 unit)
- QBS 131 Foundations of Epidemiology II: Theory and Methods
- QBS 132 Molecular Biologic Markers in Human Health Studies
- QBS 132.5 Molecular Biologic Markers in Human Health Studies Lab (0.5 unit)
- QBS 133 Clinical Epidemiology
- QBS 136 Applied Epidemiological Methods
- QBS 147 Genomics: From Data to Analysis
- QBS 193 Independent Journal Club (0.5 unit)
- QBS 194 Biostatistics Journal Club (0.5 unit)
- QBS 195 Independent Study
- QBS 270 QBS Journal Club: Biostatistics (Winter) (0.5 unit)
- QBS 270 QBS Journal Club: Bioinformatics (Spring) (0.5 unit)
- QBS 270 QBS Journal Club: Epidemiology (Fall) (0.5 unit)
- QBS 271 Advanced Epidemiology Journal Club (0.5 unit) (not offered every year)
- PH 122/QBS 129 Survey Methods
- PH 126/QBS 128 Statistical Measurement & Analysis for Healthcare Quality Improvement
- PH 111/WBS 127 Medical Care Epidemiology: Principles, Applications and Insights
- PH 112 Medical Care & the Corporation
- PH 115/QBS 144 Value and Resource Allocation
- PH 151/QBS 145 Environmental Health Science and Policy (0.5 unit)
- PH 117/QBS 142 Introduction to Quality Improvement in Health Systems (0.5 unit)
- PH 125/QBS 135 Introduction to Qualitative Methods for Public Health & Healthcare Studies (0.5 unit)
- PH 131/QBS 138 Patient Centered Health Communication (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
- Extract and effectively use data from electronic health records
- Demonstrate competency in database management and health data security
- Apply research methods appropriately to analyze clinical and healthcare data
- Conduct cost-effective analysis
- Use natural language processing tools to analyze health record data
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