Master of Science in Biostatistics

Program Summary
The Master of Science in Biostatistics degree is designed to provide graduate level training in the application and theory of biostatistics. The target audiences for this program include individuals who desire careers as collaborative biostatisticians in the basic, clinical, translational or population sciences. Masters students will have opportunities to work with real world applications under the supervision of experienced faculty.

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Doctor of Philosophy in Biostatistics

Program Summary
The Doctor of Philosophy (PhD) in Biostatistics prepares students for advanced study and research in biostatistics and bioinformatics. The program targets students with strong skills and training in mathematics and statistics who are interested in applications in biomedical research, public health and health care. The PhD program aims to train independent researchers in biostatistics and bioinformatics applications and methodology.

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Doctor of Philosophy in Biostatistics - Big Data Track

Program Summary
The biomedical research enterprise is increasingly becoming data-intensive and data-driven. Massive streams of data are being generated to interrogate biological systems and improve health care. Biomedical Big Data (BBD) is characterized by high dimensionality, complexity and diversity. It has become abundantly clear that effective statistical methodologies are essential for processing, analyzing and mining BBD. The Big Data Biostatistics program aims to train the next generation of data scientists, addressing regional and national demands for experts in statistical methods for BBD analysis.

The new track provides rigorous foundations in probability theory, statistics and computational sciences, combined with a broad knowledge of applications to biomedical research. The core curriculum consists of traditional Biostatistics coursework such as: Probability Theory, Mathematical Statistics, Linear Models and Multivariate Analysis; core computational competency coursework such as Design and Analysis of Algorithms, Database Design and Programming; and biomedical research oriented coursework such as: Functional Genomics, Bioinformatics, and Medical Informatics.

In consistency with the overall goals of the PhD program in Biostatistics, the new track has been designed to provide rigorous foundations in statistics and computational sciences, combined with a broad knowledge of applications to biomedical research. This is achieved by a mixture of both foundational courses in statistics, mathematics, and Biostatistics from the existing curriculum, as well as additional computer science, and application oriented core courses and electives included in the proposed curriculum. This will enable graduates of the Big Data Biostatistics Track of the PhD Program to take a full advantage of data driven revolution in biomedical sciences and the society at large.

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