Harvard Chan’s MS in Epidemiology builds deep quantitative skill in study design, causal inference, and biostatistics while immersing students in infectious- and chronic-disease research across continents. Learners mine big EHR datasets, map outbreaks with GIS, and model social determinants alongside faculty steering WHO task forces. Graduates emerge ready to steer surveillance labs, advise ministries, or pursue doctoral research tackling the next pandemic and the slow-moving crises of cancer, diabetes, and environmental exposure.
Time-series analysis of air-pollution spikes and asthma ER visits
Genome-to-phenome study tracing antibiotic-resistant TB clusters
Spatial–temporal modeling of dengue incidence under El Niño events
Machine-learning early-warning system for hospital sepsis
Case-crossover study on extreme heat and pre-term birth
Seroprevalence survey estimating post-vaccine herd immunity
Policy brief on wastewater viral surveillance for campuses
Meta-analysis of dietary patterns and colorectal-cancer risk
Network analysis of COVID misinformation and vaccine uptake
Mobile-phone mobility data predicting malaria importation
Ethics framework for sharing genomic epidemiology data
Field protocol for One-Health zoonotic spillover monitoring
Interactive dashboard tracking opioid-overdose clusters
Bayesian synthesis of clinical-trial evidence on RSV vaccines
Capstone on climate-attributable mortality burden projections
Workshop teaching community health workers outbreak basics
Podcast series interviewing field epidemiologists on lessons learned
Data-visualization toolkit for local health departments
Master analytic methods to unravel and stop disease spread.
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