Master in Cybersecurity - ULB

Master in Cybersecurity — Corporate Strategies (ULB, joint programme)

Programme: Master in Cybersecurity — Corporate Strategies, joint degree ULB /
UNamur / UCLouvain / HE2B-ESI / HELB / ERM (École Royale Militaire)
Duration: 2023 – 2025 (2 years)

Overview

Two-year cybersecurity master spanning cryptography, machine learning, digital
forensics, malware analysis, network security, IT law and corporate security
governance, closed with a thesis on facial-recognition privacy risks.

MA1 (2023–2024)

Q1

• Cryptography — historical principles, symmetric design, hashing, public-key crypto
• IT Security Law — cybercriminalité, data protection & privacy, digital investigations
• Machine Learning — classification, decision trees, ensemble learning, unsupervised
  learning, reinforcement learning, ANNs
• SSD (systems/software security design)
• Virtual Reality (INFO-H502) — 3D graphics pipeline, avatar skinning

Q2

• Cryptanalysis & advanced crypto (INFOF514) — e-voting, provable security,
  homomorphic encryption, zero-knowledge proofs, post-quantum crypto
• Geospatial Data Science (INFOH509) — trajectory analysis, HMMs, Kalman filters
• Network Security (UCLouvain) — traffic monitoring, firewalls, NAT, botnets,
  phishing, IDS, symmetric/public-key crypto
• Network Security (ULB) — hashing, PKI, firewalls/middleboxes, IPSec/VPN
• Cybersecurity management
• Quantum computing
• Swarm intelligence — multi-robot systems (ARGoS simulator), flocking, ant colony
  optimization (implemented in Lua)

MA2 (2024–2025)

• Organization of Corporate Security — asset management & data classification,
  DORA, KRIs, regulators & regulations, security frameworks, security risk
  management, security assurance, supply chain security, cyber resilience
• Malware Analysis & Digital Forensics — disk, Windows, memory, mobile forensics;
  command-line and tcpdump analysis; reverse-engineering tooling (OllyDbg, Scylla,
  Process Monitor/Explorer, Regshot, procDot)
• Cyber Management — access management, ransomware & threat hunting, incident
  response playbooks, Active Directory attacks, honeypots/honeyfiles, patch
  management, zero-trust networks, vulnerability research, AI attack taxonomy,
  scamming, endpoint/network security, NIST CSF self-assessment, threat modelling,
  secure SDLC references

Thesis (2025)

“Facial Recognition Prevention — Face Web Scraping”
Thesis

Skills

Cryptography & cryptanalysis, applied ML, digital forensics, malware analysis,
incident response, GRC (DORA, ISO 27001/27002, NIST CSF), network security,
OSINT/web scraping, Python, EU data-protection & cyber law awareness.