DATA SCIENCE (PCiDS)
The program equips students with the essential skills and knowledge to enter the rapidly growing fields of Data Science, statistical analysis, data visualization, artificial intelligence, and data integration in cybersecurity. The curriculum is structured into four levels, from foundational to advanced:
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Foundation Level – 20hours
Introduction to AI, Data Science, personal data protection, basic ETL, and fundamental machine learning.
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Intermediate Level – 20hours
Graph theory, applications in cybersecurity, and hands-on practice with NetworkX.
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Advanced Level – 40 hours
Data visualization, cybersecurity data integration, and advanced statistical analysis (Markov models, Bayesian methods, Chi-square).
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PCIDS™ Qualifying and Certification Rounds – 90 hours
Capstone project (Graduation project)
This is the final stage of the PCiDS™ certification assessment process, where projects are evaluated by a panel of experienced experts to ensure academic standards and practical relevance. Learners complete a comprehensive cybersecurity project covering machine learning, graph theory, data processing, reporting, pipelines, AI deployment, and interactive dashboards.


