The PCDIA stands out for its practical and interdisciplinary approach, combining solid theoretical foundations with case studies and applied projects. With Python as a central tool, the course empowers students to develop solutions for complex challenges, such as analyzing large volumes of data, forecasting scenarios, automating processes, and driving digital transformation.
Furthermore, the course is concentrated on Fridays and Saturdays, in order to allow the participation of professionals who seek to reconcile their participation in the master's program with their professional practice.
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Classes for the Professional Master's Program in Public Administration are held every two weeks, always on Fridays (afternoon and evening) and Saturdays (morning and afternoon).
Check out our calendar template (note: the dates are for illustrative purposes only).
PCDIA boasts a highly qualified faculty, composed exclusively of PhD professors who combine academic excellence with extensive practical experience in data science, artificial intelligence, and public administration.
The program emphasizes the practical application of knowledge, providing real-world examples and case studies that connect theory to the demands of the public sector. This unique approach ensures that students acquire a comprehensive education, applicable to their daily professional lives and capable of generating a significant impact on their organizations.
Track 1: In this track, students will develop an essential foundation for understanding and applying data science in public administration. The subjects cover everything from the principles of Python programming to advanced data visualization and Business Intelligence (BI) techniques, enabling students to transform raw data into strategic insights.
In Track 2, students will be introduced to the fundamentals of machine learning and artificial intelligence, focusing on applications geared towards the public sector. The track's subjects cover everything from the basic principles of Machine Learning to advanced techniques in Deep Learning and Natural Language Processing (NLP), enabling students to build predictive models, automate analyses, and extract knowledge from large volumes of data.
Area of Interest III aims to equip students with practical and theoretical skills to foster innovation and entrepreneurial thinking in the public sector, as well as to implement technological solutions that assist in government management and in the processes of implementing, monitoring, and evaluating public policies.
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OTHERS INSTITUTIONS |
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Concentrated FormatClasses are held on Fridays, afternoons and evenings, and on Saturdays, mornings and afternoons, allowing you to combine your Master's degree with your career. |
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Methodology based on Case StudiesA unique teaching approach, focused on applying knowledge to the real world. |
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Faculty with Professional ProfileProfessors who, in addition to a solid academic background, are professional leaders in their field. |
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Student Success TeamA team dedicated to assisting students with their academic activities (writing articles, submitting them, participating in conferences, etc.). |
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Incredible connectionsWe facilitate collaboration and interaction between students and teachers in classes and within the IDP community for quality networking. |
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