2 Years On Campus Masters Program
Biostatisticians who pursue the MS with a concentration in Data Science in Public Health (DSPH) apply biostatistical data analysis methods with machine learning expertise to efficiently analyze data in biomedical research. The DSPH concentration focuses on data skills that can be applied to many areas of public health research such as infectious diseases, cancer, mental health, and more. Skills acquired from the DSPH concentration are essential to biomedical research in data analyses, pattern detection in large data sets, data management, and data mining. The demand for MS Biostatistics graduates with a DSPH concentration has increased dramatically with the increase in production of large and high dimensional data. The DSPH concentration aims to prepare students to succeed in careers such as data analysts with machine learning knowledge in research institutions, pharmaceutical companies, government agencies (NIH, CDC, FDA, etc.), health insurance companies, and other organizations related to public health and/or require working with large amounts of data.
A bachelor’s degree is required for admission with a minimum GPA of 3.0. It is required that an applicant have a necessary mathematical and probability background (e.g., calculus I & II and basic probability theory required, linear algebra preferred but not required). GRE recommended but not required Three (3) letters of recommendation Statement of Purpose (750-1000 words) CV/Resume TOEFL iBT: 80 or IELTS 6.5 overall.
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