Leveling Disciplines

Statistics and Probability (45 h)
Introduction to Linear Algebra and Calculus (45 h)

Mandatory Subjects (Minimum: 16 credits)

Biostatistics (4 credits)
Computational Statistics Applied to Biostatistics (4 credits)
Introduction to Statistical Inference (4 credits)
Epidemiological Statistical Methods (2 credits)
 Scientific Research Methodology (2 credits)
Teaching Internship – mandatory for Capes scholarship holder (2 credits)

 

Optional subjects (Minimum: 8 credits)

Causal inference in epidemiology (2 credits)
Regression Models (3 credits)
Generalized Linear Models (4 credits)
Longitudinal Data Analysis (4 credits)
Categorical Data Analysis (4 credits)
Non-Parametric Statistics (3 credits)
Planning and Analysis of Biological Experiments (4 credits)
Survival Analysis (4 credits)
Spatially Distributed Data Modeling (4 credits)
Multivariate Analysis in Biology (4 credits)
Applied Bayesian Inference (4 credits)
Bayesian Methods in Health and Biology (4 credits)
Linear and Non-Linear Models Applied to Pharmacokinetics (changed to Pharmacokinetic Models) (1 credit)
Pharmacokinetic Models (1 credit)
Epidemiology (4 credits)
Clinical Research (1 credit)
Special Topics – Logistics Regression (1 credit)
Advanced Generalized Linear Models (2 credits)
Special Topics – Analysis of Structural Equations (2 credits)
Principles of Sampling Applied to the Health Area (2 credits)
Time Series (4 credits)
English Scientific Communication (1 crédito)
Obtaining and managing epidemiological and socio-environmental data from web-based repositories (1 credit)
Psychometrics in R and Mplus (2 credits)
Probability I (4 credits)
 Probability II (3 credits) 
 Advanced Inference (2 credits) 
Special Topics – Machine Learning (2 credits)
Linear and Nonlinear Regression Models (4 credits)
Introduction to machine learning with applications (3 créditos)

 

Disciplines intended for other Postgraduate Programs

 Biostatistics 1 (2 credits)
 Biostatistics 2 (2 credits)
 Advanced Biostatistics (2 credits)