Biostatistics

Master

In Providence (USA)

£ 6001-7000

Description

  • Type

    Master

  • Location

    Providence (USA)

The masters' programs in Biostatistics provide advanced training in the theory and application of statistical methods in public health, clinical medicine and the biological sciences.

Facilities

Location

Start date

Providence (USA)
See map
Providence, RI 02912

Start date

On request

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Subjects

  • Public
  • School
  • Computing
  • Public Health

Course programme

Demand for advanced expertise in biostatistics continues to be high in both the public and private sectors, particularly in settings emphasizing research in biomedicine and biotechnology. The masters' programs in Biostatistics provide advanced training in the theory and application of statistical methods in public health, clinical medicine, and the biological sciences.

The A.M. in Biostatistics is a program designed to prepare students for work in research firms, hospitals, academic centers, pharmaceutical companies, etc. This program can be completed in 3 or 4 semesters and requires a sequence of 8 courses.

The Sc.M. in Biostatistics is a program designed to prepare students for the same work as the A.M. program with the addition of extended research training suitable for Ph.D. programs or other research work. The Sc.M. requires a sequence of 8 courses and a final research project/thesis.

Data related to health and life sciences has never been more challenging and complex. Biostatistical data scientists with rigorous methodologic training, experience in modern computing and collaboration, and involvement in domain research are in high demand in the health sector and beyond! Students in the Biostatistics Master's Health Data Science track will receive in-depth training in biostatistical theory and methods, augmented by specialized training in modern data science techniques.

In addition to core curriculum in biostatistical theory and methods, students in the Health Data Science track will receive training in modern data science techniques. These methods include machine learning techniques including but not limited to Classification Methods, Resampling Techniques, Support Vector Machines and Supervised and Unsupervised learning. In addition to machine learning, students will become proficient working with various programming languages including, R, Python, Julia, and SQL.

Faculty collaborate actively with investigators in the areas of cancer prevention and screening, behavioral sciences, HIV/AIDS, health care policy, genetic epidemiology, neuroscience, and genomics. Biostatistics faculty are members of the Center for Statistical Sciences (CSS) or the Center for Evidence Based Medicine. CSS hosts the Biostatistics Center for NCI–funded American College of Radiology Imaging Network (ACRIN), the Biostatistics Core for Brown's Center for AIDS Research (CFAR), and the Biostatistics Core for Brown's multidisciplinary Alcohol Research Center for HIV (ARCH).

Brown's School of Public Health is located in newly renovated space at 121 South Main Street in the heart of downtown Providence, just blocks from the main green and walking distance to several of Brown's research centers. Its educational programs include both masters and doctoral programs in Biostatistics, Epidemiology, and Health Services Research, an MPH program, and undergraduate concentrations in both Community Health and Statistics. The School of Public Health is home to several world-class research centers, such as the Center for Gerontology and Health Services Research, the International Health Institute, and the Center for Alcohol and Addiction Studies. Our faculty also collaborate with researchers at Brown's Center for Behavioral and Preventive Medicine, Center for Computational Molecular Biology, Center for Genetics, Genomics and Proteomics, and the Population Studies Training Center.

Additional Resources

Students have access to a high–end, continuously updated computing environment featuring both Unix and PC networks, with access to all major software for data analysis and numerical computing.

Admission Information

MCAT or LSAT tests cannot be substituted for GRE. Experience with numerical computing is also recommended. Applications from students in applied fields such as biology, biochemistry, economics and computer science are strongly encouraged, with the understanding that necessary mathematical coursework must be completed before or soon after enrollment in the program.

Applicants to this School of Public Health program should apply through SOPHAS, a centralized application service for accredited schools and programs in public health. The application opens in mid–August each year. Brown University School of Public Health GRE reporting code: 7765.

Admission Requirements
  • GRE General: Required
  • GRE Subject: Not required

Application Deadline: February 1


Biostatistics

£ 6001-7000