Fechas
06 de julio al 21 de julio del 2026
Duración
13 Sesiones | 3 Semanas | 36.0 Horas
Modalidad
Semipresencial / Blended
Horario
Week 1 July 6th to July 11th Virtual: Mon, Wed to Fri 6 - 8 p.m. and Sat 8-11, and 11-3. Parcial 1: Julio 13 6-9 p.m. Week 2: July 13th a July 18th Presencial: Wed to Fri 6-9 p.m. and Sat 8-11, and 11-3. Parcial 2: Julio 21.
This course aims at preparing the students to handle the massive shifts in technology and operations, driven by data science, that cybersecurity is undergoing. It will overview how to extract security incident patterns (or insights) from cybersecurity data and build corresponding data driven models, two key aspects to make security systems automated and intelligent. This course starts briefly overviewing the motivation and concepts of cybersecurity and data science, next it presents the relevant methods/technologies to understand the applicability of cybersecurity data science towards data-driven intelligent decision-making in cybersecurity, the main approaches for security data gathering and preparing, a discussion on different machine learning and statistical learning tasks in cybersecurity, multi-layered frameworks for smart cybersecurity services, cybersecurity testbeds and datasets. This course is enriched with real case studies and the students will be able to prepare their main hands-on projects to put in practice their knowledge.
Important: If you are a regular undergraduate or graduate student at Universidad de los Andes, you will not be able to register for courses with academic credits through Continuing Education. This registration must be done directly with the Faculty offering the course of interest.
Fechas
06 de julio al 21 de julio del 2026