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Duration 2 Years |
Level Post Graduation |
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Type Degree |
Eligibility Graduation |
MS Biostatistics or Master of Science in Biostatistics is a two-year postgraduate degree program. Master of Science in Biostatistics program will teach students biostatistical methodologies for research design, data analysis, and statistical reporting for scientific and general audiences. This Biostatistics degree will prepare students in key areas such as data management, statistical reasoning, the interpretation of numerical data for scientific inference in studies in medicine and public health, and the ability to collaborate and communicate effectively with scientists and other public health stakeholders from various disciplines.
Graduates of the Biostatistics program are prepared to work as statisticians in a range of professional settings, including government, academia, healthcare, and business. In addition, students are trained in quantitative PhD programs in public health, such as biostatistics and epidemiology.
MS Biostatistics Eligibility
MS Biostatistics Syllabus
Syllabus of Biostatistics course as prescribed by various colleges & universities.
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MS Biostatistics Semester-I |
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Sr. No. |
Subjects to Study |
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1 |
Biostatistics for Public Health |
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2 |
Epidemiology |
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3 |
Introduction to Public Health |
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4 |
Introduction to Data Management and Statistical Computing / Introduction to Statistical Programming in R |
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MS Biostatistics Semester-II |
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1 |
Intermediate Epidemiology |
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2 |
Intermediate Statistical Programming in R |
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3 |
Research Methods in Public Health |
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4 |
Regression I: Linear Regression and Modeling |
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MS Biostatistics Semester-III |
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1 |
Epidemiology Design & Methods / Statistical Inference / Causal Inference: Design and Analysis / Causal Inference |
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2 |
Psychometric Measurement & Analysis in Public Health Research & Practice / Survey Design, Analysis, and Reporting |
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3 |
Regression II: Categorical Data Analysis |
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4 |
Thesis I: Practice and Integrative Learning Experiences |
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MS Biostatistics Semester-IV |
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1 |
Longitudinal Analysis of Public Health Data / Applied Survival Analysis |
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2 |
Thesis II: Practice and Integrative Learning Experiences |
