B.Sc. Biostatistics or Bachelor of Science in Biostatistics is an undergraduate Biostatistics programme. Biostatistics is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine and agriculture; the collection, summarization, and analysis of data from those experiments; and the interpretation of, and inference from, the results. Biostatistics has become an indispensable tool in improving health and reducing illness. Biostatistics involves the development and application of statistical techniques to scientific research in health-related fields, including medicine, epidemiology, and public health.
10+2 with 50% or equivalent CGPA.
Some of the very reputed universities and institutes conduct entrance examination to get admission to the degree course.
B.Sc. Biostatistics Syllabus
Syllabus of Biostatistics as prescribed by various Universities and Colleges.
They should have the ability to work alone and in a team setting; an interest in mathematics, statistics and biology.
They also possess an excellent communication skills; able to use specialized computer software to organize and analyze data; and an interest in mathematics.
They also have an interest in the application of scientific principles to the solution of practical problems; able to organize projects and carry them out.
They should be able to write clear, concise reports in language appropriate for intended audience.
How is B.Sc. BiostatisticsCourse Beneficial?
These programs are beneficial for the student who has a mathematical or statistical background with a major interest in the biomedical sciences, or those with a degree in the biological sciences with a major interest in mathematics and statistics.
The program offers training in theory of statistics and biostatistics, computer implementation of analytic methods and opportunities to use this knowledge in areas of biological/medical research.
The course enables health scientists and professionals in academia, government, pharmaceutical companies, medical research organizations and elsewhere to efficiently acquire knowledge and draw valid conclusions from their ever-expanding sources of information.