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Module 5
Workload
75h
Disciplines
3
Full program
360h
Methodological Support and Application
Final module integrating methodological rigor, academic writing, and project development.
The final module consolidates the learning journey. It provides methodological foundations, mastery of academic standards, and support for developing an applied Data Science project with technical rigor and practical relevance.
Module disciplines
01
15h
Research Methodology
Professor Prof. Dr. Paganini Barcellos
Syllabus
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Principles of scientific research. Defining the research problem and project planning. Finding and using theory. Collecting data and information. Interpreting data and information. Building and concluding research projects. Research methods based on modeling and simulation. Model construction and validation. Experiment design. Results analysis.
02
15h
Technical Standards for Academic Work
Professor Prof. Dr. Paganini Barcellos
Syllabus
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Study and application of normative guidelines for formatting and structuring scientific productions and monographs.
03
45h
Data Science Project
Professor Various professors
Syllabus
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Problem definition and methodologies for Data Science projects. Data collection, preparation, and exploratory analysis. Modeling and implementation of Data Science strategies. Execution, evaluation, validation, and presentation of results. Ethical and human aspects in Data Science. Examples of Data Science projects.