MS in Applied Biostatistics
The MS in Applied Biostatistics provides graduates with the knowledge, skills, and professional confidence to apply the statistical methods commonly used in biomedical research; apply basic principles and methods to design, plan, conduct, and interpret biomedical studies in clinical trials, observational studies, and big genomic and genetics data; and provide effective biostatistical advice as a member of a team with strong consultancy, oral, and written communication skills. The degree will be awarded upon successful completion of 34 credits of coursework and co-curricular requirements including a research rotation, and a final written report based on the training experience. Graduates of the program are prepared for careers as biostatisticians in biomedical research enterprises, pharmaceutical companies, contract research organizations, government, and federal agencies.
By the end of the program, students will have the knowledge, skills, and professional confidence to:
Apply the statistical methods commonly used in biomedical research, including:
- Analysis of variance
- Linear regression, logistic regression, and log-linear models
- Survival Analysis
- Mixed models and analysis of correlated data
- Bayesian Analysis
- Statistical computing
- Analysis of observational studies
Apply basic principles and methods to design, plan, conduct, and interpret biomedical studies in:
- Clinical trials
- Observational studies
- Big genomic and genetics data
Provide effective biostatistical advice as a member of a team with strong:
- Consultancy skills
- Oral and written communication skills
Eligible students will have one year of college-level calculus to include multivariable calculus, and preferably 2 credits of linear algebra, covering matrix algebra and singular value decomposition. Applications from students with no formal coursework in linear algebra will be considered and students provisionally accepted will be expected to complete the requirement before the beginning of the Accelerated Statistics Training (AST) by taking a residential or online course and providing appropriate documentation of completion. No previous training in statistics is required, nor is an undergraduate major in mathematics or statistics.
The Master of Science in Applied Biostatistics requires a minimum of 34 graduate credits of coursework (including a 2-credit summer intensive) and both a research rotation and practical training. All students are required to complete the degree within five years. A minimum grade of B– or better is required for each of the core MS courses.
Foundations of Public Health
Effective public health requires expertise from many disciplines, and students need to have a broad foundation of knowledge across these diverse disciplines in order to collaborate effectively with other health professionals.
SPH PH 700 Foundations of Public Health (0 credits) is an online course designed to provide students with foundational knowledge in the profession and science of public health and factors related to public health. PH 700 meets the foundational knowledge criteria (as outlined by CEPH) for all SPH students.
Required MS Core Courses
- SPH BS 728 Public Health Surveillance (2 cr)
- SPH BS 800 Accelerated Statistics Training (AST) for Biostatisticians (2 cr)
- SPH BS 803 Statistical Programming for Biostatisticians (2 cr)
- SPH BS 806 Multivariable Analysis for Biostatisticians (4 cr)
- SPH BS 831 Genomics Data Mining and Statistics (2 cr)
- SPH BS 849 Bayesian Modeling (2 cr)
- SPH BS 851 Applied Statistics in Clinical Trials I (4 cr)
- SPH BS 852 Statistical Methods in Epidemiology (4 cr)
- SPH BS 853 Generalized Linear Models (4 cr)
- SPH BS 857 Analysis of Correlated Data (4 cr)
- SPH BS 858 Statistical Genetics I (4 cr)
- SPH PH 746 Professional Development (0 cr)
Students will be required to complete 100 hours of research rotation and 400 hours of practical training, BS 910, at the end of their final semester. Students will be registered during the summer internship/practicum learning and be able to graduate in the summer term of each year. This practical training can be based on extension of the research rotations, industry-based internships, or employment in the field of biostatistics. Students are required to write a research paper based on the practical training.