A Master of Science (MSc) in Data Networks and Security is a specialized degree program that prepares students for careers in cybersecurity and ethical hacking. The specific learning outcomes of such a program may vary from one institution to another, but here are some common learning outcomes you can expect from a BSc in Ethical Hacking:
Graduates should have a strong foundation in computer science and information technology, including programming languages, operating systems, and network protocols.
Cybersecurity Knowledge: Students will gain a deep understanding of cybersecurity principles, including threat analysis, risk assessment, and vulnerability management.
Ethical Hacking Skills: Graduates will be proficient in ethical hacking techniques, including penetration testing, vulnerability scanning, and security assessment.
Networking and Infrastructure: They should be able to design, implement, and secure network infrastructures, including firewalls, routers, and switches.
Cryptography: Understanding of cryptographic techniques and their applications in securing data and communications.
Incident Response: Ability to respond effectively to security incidents, including incident detection, analysis, containment, and recovery.
Forensics: Proficiency in digital forensics techniques to investigate cybercrime and analyze digital evidence.
Secure Coding Practices: Knowledge of secure coding practices and the ability to identify and mitigate vulnerabilities in software applications.
Hands-On Experience: Practical experience through labs, projects, and internships to apply theoretical knowledge in real-world scenarios.
Must have completed bachelors degree in any stream
How to Apply :
Step 1: Please send credentials supporting your application to info[at]cambridgeuniv.org
Step 2: Send the application form duly filled and signed on each page to info[at]cambridgeuniv.org
Step 3: Upon approval you will be contacted for the remittance of fees.
Step 4: Upon succesful remittance, your login account will be shared for course progression.