Specializations

The Master’s Program in Statistics and Data Science, IPB University offers three specializations—Statistical Modeling, Predictive Analytics, and Big Data Analytics—to equip students with in-depth competencies aligned with the evolving demands of modern data analysis.

• The Statistical Modeling concentration focuses on the development and application of various statistical models to analyze complex phenomena within data. Students will study both the theoretical and practical aspects of modeling, including regression, linear and non-linear models, mixed models, multivariate analysis, and Bayesian approaches, enabling them to construct robust inferential models and explain inter-variable relationships using solid quantitative methods.

• The Predictive Analytics concentration provides students with the knowledge and skills to build accurate predictive models based on historical data, with an emphasis on machine learning techniques, predictive modeling, model performance evaluation, model selection strategies, and interpretation of prediction results within decision-making contexts. This concentration is highly relevant for applications in business, finance, marketing, and other fields requiring future-oriented insights.

• The Big Data Analytics concentration is designed to address the challenges of analyzing large-scale and complex datasets. Students will be introduced to the big data ecosystem, including data storage and processing technologies such as Hadoop and Spark, as well as techniques for analyzing unstructured data and data streams. Graduates of this concentration are expected to manage and analyze massive data volumes to generate valuable insights for strategic decision-making.