Curriculum Structure for Bachelor of Cyber Security

The curriculum of the Bachelor of Cyber Security program at Technocrats Institute of Technology Computer Science and Engineering is meticulously designed to provide students with a comprehensive understanding of cybersecurity principles, technologies, and practices. The program spans eight semesters, offering a balanced mix of theoretical knowledge and practical skills.

Semester-Wise Course Structure

Advanced Departmental Elective Courses

The program offers a wide range of advanced departmental electives that allow students to specialize in specific areas of cybersecurity. These courses are designed to provide in-depth knowledge and practical skills required for advanced roles in the field.

Artificial Intelligence in Cybersecurity

This course explores how artificial intelligence (AI) and machine learning (ML) techniques can be applied to detect and prevent cyber threats. Students learn about AI-based anomaly detection, intrusion detection systems, malware analysis using ML, and automated threat response mechanisms.

The learning objectives include understanding the principles of AI and ML, applying these concepts to cybersecurity challenges, developing AI models for threat detection, and evaluating the effectiveness of AI-based security solutions. The course includes hands-on labs where students implement machine learning algorithms for security applications.

Secure Software Development

This elective focuses on integrating security considerations into the software development lifecycle (SDLC). Students learn about secure coding practices, threat modeling, vulnerability assessment, and security testing methodologies. The course emphasizes practical implementation of security measures during the development phase to prevent vulnerabilities.

The learning objectives include understanding secure coding principles, applying security controls in SDLC, conducting security reviews, and implementing secure design patterns. Labs involve building secure applications using secure development frameworks and tools.

Security Policy and Governance

This course examines the development and implementation of cybersecurity policies and governance frameworks within organizations. Students study compliance requirements, risk management strategies, and organizational security architectures. The focus is on aligning security initiatives with business objectives and regulatory standards.

The learning objectives include understanding policy development processes, analyzing governance models, assessing compliance frameworks, and designing security architectures. Students work on developing comprehensive security policies and governance plans for hypothetical organizations.

Compliance and Auditing

This elective delves into the legal and regulatory aspects of cybersecurity. Students learn about various compliance standards such as ISO 27001, NIST Cybersecurity Framework, and GDPR. The course covers auditing procedures, risk assessments, and reporting mechanisms required for maintaining compliance.

The learning objectives include understanding compliance requirements, conducting security audits, performing risk assessments, and preparing compliance reports. Practical exercises involve simulating audit scenarios and developing compliance checklists for different industries.

Advanced Digital Forensics

This course provides advanced training in digital forensics techniques and tools. Students learn about data recovery, malware analysis, network forensics, and evidence preservation. The focus is on handling complex forensic cases involving multiple platforms and sophisticated attacks.

The learning objectives include mastering forensic investigation techniques, analyzing complex malware, conducting network traffic analysis, and presenting findings in legal contexts. Labs involve working with real forensic cases and using advanced forensic tools for evidence collection and analysis.

Incident Handling and Investigation

This elective focuses on the processes and procedures involved in managing cybersecurity incidents. Students learn about incident response planning, coordination with stakeholders, forensic investigation techniques, and post-incident analysis. The course emphasizes practical skills needed to handle real-world security breaches.

The learning objectives include understanding incident response frameworks, coordinating incident handling teams, performing forensic investigations, and conducting post-incident reviews. Simulations involve managing simulated cyber incidents and documenting the entire response process.

Advanced Network Security

This course covers advanced topics in network security including advanced firewall configurations, secure routing protocols, network intrusion detection systems (NIDS), and secure network architecture design. Students gain expertise in protecting complex network infrastructures from sophisticated threats.

The learning objectives include understanding advanced network security concepts, configuring secure network environments, implementing NIDS solutions, and conducting network vulnerability assessments. Labs involve setting up and managing secure network topologies with real-time threat monitoring.

Cybersecurity Research Project

This course provides students with the opportunity to engage in original research in cybersecurity. Students work under faculty supervision on a research topic related to their area of interest, contributing to the field through innovative solutions and methodologies.

The learning objectives include conducting independent research, developing novel security solutions, publishing research findings, and presenting academic papers at conferences. The course involves both theoretical study and practical implementation of research ideas.

Capstone Project

The capstone project is a comprehensive, multi-semester endeavor where students apply their knowledge to solve a real-world cybersecurity challenge. Students work in teams or individually on projects that may involve developing new security tools, conducting vulnerability assessments, or proposing innovative solutions to emerging threats.

The learning objectives include integrating knowledge from multiple disciplines, applying critical thinking skills, working collaboratively, and presenting professional-grade solutions. Projects are typically reviewed by industry experts and faculty members.

Internship in Cybersecurity

This course provides students with practical experience through internships at leading cybersecurity organizations. Students gain exposure to real-world challenges, work alongside experienced professionals, and contribute to actual security initiatives within the organization.

The learning objectives include applying academic knowledge to practical situations, understanding organizational security practices, building professional networks, and gaining insights into career opportunities in cybersecurity. Internship placements are arranged with partner organizations.

Project-Based Learning Philosophy

The program emphasizes project-based learning as a core component of the curriculum. This approach ensures that students not only understand theoretical concepts but also gain practical experience in solving real-world cybersecurity problems.

Mini-Projects

Mini-projects are assigned throughout the program to reinforce learning and develop problem-solving skills. These projects are typically completed within a semester and focus on specific aspects of cybersecurity such as network security, cryptography, or digital forensics.

The structure of mini-projects includes project proposal development, research and planning, implementation, testing, and documentation. Students receive mentorship from faculty members throughout the process and present their findings to peers and faculty.

Final-Year Thesis/Capstone Project

The final-year thesis or capstone project is a significant undertaking that allows students to demonstrate their mastery of cybersecurity concepts and research capabilities. Students select a topic relevant to current industry challenges and conduct original research or develop innovative solutions.

The evaluation criteria include the novelty of the approach, technical depth, quality of documentation, presentation skills, and peer feedback. Faculty mentors guide students through all phases of the project from initial concept to final implementation and defense.

Project Selection and Mentorship

Students have multiple options for selecting their projects, ranging from faculty-led research initiatives to industry-sponsored challenges. The selection process involves submitting proposals that are reviewed by faculty members and industry partners.

Mentors are assigned based on the student's interests, project requirements, and faculty expertise. Regular meetings with mentors ensure that students receive continuous guidance and support throughout their project journey.