1. Data Structure and Algorithm Using C (4 credits)
    

2. Operating Systems, System Programming and Bash Scripting (4 credits)
    

3. Computer Networks (4 credits)
    

4. Web Technologies (4 credits)
    

5. Python Programming (4 credits)

1. Cybersecurity Essentials​

   • ​This introductory course revisits concepts of OS, Scripting, Networking, and programming essentials
      

2. Network Security​

   • This course deals with various aspects of Network security – Wired and Wireless; packet capture, security issues in various network protocols like TCP, DNS etc.
      

3. Software Security

   • ​This course explores various aspects of software vulnerabilities like Buffer overflows, Malware and Application security

1. Topics in Cryptography

   • Understand the evolution from classical to modern cryptography; Learn about the underlying mathematical foundations and the concepts of Symmetric, Asymmetric cryptography, Hash, and related topics
      

2. Applied Cryptography​

   • Learn about the application of various Crypto techniques and tools in modern day applications – Data Encryption, TLS, Digital Signature, Non-repudiation, Email Security etc.
      

3. Block Chain and Applications

   • Learn fundamentals of blockchain technology and its architecture. Understand the attributes of Blockchain like immutability, Merkel trees and consensus algorithms with real world application use cases in Supply chain, food source, fintech and reality

1. Digital Forensics 1

   • Introduces the history and evolution of Digital forensics, principles of Digital Forensics and its challenges. Students also learn about Computer memory and file forensics and practice with applicable tools. Understand Incidence response types, Industry standards and reporting.
      

2. Digital Forensics 2

   • Learn about digital investigative techniques and challenges

   • Learn to effectively acquire forensic data from various digital devices such as desktops, portables, Network and Cloud
      

3. Cyber Law and Data Privacy

   • Understand Privacy needs as per GDPR, California Privacy act, and Indian laws

   • Focuses on many compliance issues under information security and privacy mandates such as GDPR, HIPAA, FISMA, GLBA, and PCI-DSS

   • Develop the appropriate vocabulary for better legal results in policies, contracts, and incidents

1. Cloud Security

   • More than ever, businesses are moving sensitive data and shifting mission-critical workloads to the cloud – typically a multicloud platform, including Amazon Web Services, Azure, Google Cloud, and others

   • Understand and identify the risks and risk controls based on the deployment models – IaaS, PaaS, and SaaS

   • Evaluate the trustworthiness of service providers based on their security documentation, service features, third-party attestations, and position in the global cloud ecosystem

   • Articulate the business and security implications of a multicloud strategy applying CIS controls
      

2. ​Applied Data Science & Artificial Intelligence for Cybersecurity​

   • ​Students explore the intersection of Cybersecurity, Data Science and Artificial Intelligence and apply DS and AI/ML techniques to enhance Security solutions
      

3. Ethical hacking and Exploit Development

   • Learn penetration testing using repeatable frameworks like OWASP and tools like ZAP and Burp suite, NMap, Nessus, Kali, Metaspoilt etc.

   • Apply the learnings to perform penetration testing on live sites and find vulnerabilities

   • Write exploits​

Capstone Project
In this semester students will do an individual capstone project. Students can pick a project of their choice from their work place or from the ISFCR center.  Continuous guidance is provided along with periodic assessment.

The capstone project is an opportunity to apply all your learnings to solve real problems.