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B.Tech CSE (Cybersecurity)

At JKLU, innovation and technology come together to help create new models of a more sustainable future.
Bachelor of Technology
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B.Tech CSE (Cybersecurity)

B.Tech. CSE and Cybersecurity programme at JK Lakshmipat University is designed to develop students as domain specialists in Cyber Security.

The students will develop skills in areas such as Network Security, Web Security, Vulnerability Assessment, Penetration Testing, Hardware Security, or Incident Response. By leveraging cutting-edge tools, they are prepared to drive advancements in cybersecurity, ensuring readiness to address the evolving challenges of the digital landscape. Upon completion, students will be well-prepared for careers in various sectors, including IT, finance, government, and corporate enterprises, addressing cybersecurity issues and safeguarding digital infrastructures.

Discipline Specific Electives (DSE)

  • LLM Vulnerabilities and Exploits
  • Threat Intelligence
  • Incident Response
  • Cyber Security Risk Management
  • Reverse Engineering & Malware
  • Advanced ML for Cyber Security
  • AI Risk assessment
  • Elliptic Key Cryptography
  • Mobile Forensics
  • Block Chain Security & Forensics
  • ICS security and Forensics
  • Application Security Testing
  • Generative AI & Cyber Security
  • Human Computer Interaction
  • Internet of Things
  • Cloud computing
  • Data Warehousing and Mining
  • Data Privacy
  • Cyber Security
  • Regulations & Standards
  • Security DevOps
  • Virtualization Security & Devops
  • Security Metrics
  • Wireless Security
  • Quantum Cryptography

Note- The list of Disciplinary Specific Electives/Open Elective is evolving and subject to change.

Career Avenues

The B.Tech in Computer Science and Engineering (Artificial Intelligence) prepares students for a wide range of exciting careers in one of the fastest-growing fields in technology. Graduates can take up roles such as machine learning engineer, data scientist, AI researcher, computer vision engineer, natural language processing (NLP) specialist, or AI software developer.

Career Avenues

With strong foundations in programming, algorithms, and advanced AI tools like deep learning and reinforcement learning, they are well-suited for jobs in sectors like technology, finance, healthcare, robotics, e-commerce, and more. The programme also helps students understand the ethical use of AI, making them responsible and future-ready professionals in this impactful domain.

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