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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Network Administration

    School of Computer Application, Sri Satya Sai University of Technology and Medical Sciences
    Duration
    4 Years
    Network Administration UG OFFLINE

    Duration

    4 Years

    Network Administration

    School of Computer Application, Sri Satya Sai University of Technology and Medical Sciences
    Duration
    Apply

    Fees

    ₹8,50,000

    Placement

    94.5%

    Avg Package

    ₹62,00,000

    Highest Package

    ₹98,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Network Administration
    UG
    OFFLINE

    Fees

    ₹8,50,000

    Placement

    94.5%

    Avg Package

    ₹62,00,000

    Highest Package

    ₹98,00,000

    Seats

    120

    Students

    120

    ApplyCollege

    Seats

    120

    Students

    120

    Curriculum

    Course Structure and Semester-wise Breakdown

    The Network Administration program at SCHOOL OF COMPUTER APPLICATION SRI SATYA SAI UNIVERSITY OF TECHNOLOGY AND MEDICAL SCIENCES SSSUTMS is meticulously structured across eight semesters, ensuring a progressive and comprehensive understanding of network systems. The curriculum integrates foundational knowledge with advanced concepts, preparing students for diverse career paths in the dynamic field of networking.

    SemesterCourse CodeCourse TitleCredit (L-T-P-C)Pre-requisites
    1CS101Introduction to Computing3-0-0-3-
    1PH101Physics for Computer Science3-0-0-3-
    1MA101Mathematics I4-0-0-4-
    1EC101Basic Electronics3-0-0-3-
    1CS102Programming in C2-0-2-4-
    1EN101English for Communication3-0-0-3-
    1PH102Physics Lab0-0-2-2PH101
    1EC102Electronics Lab0-0-2-2EC101
    1CS103C Programming Lab0-0-2-2CS102
    2CS201Data Structures and Algorithms3-0-0-3CS102
    2MA201Mathematics II4-0-0-4MA101
    2CS202Digital Logic Design3-0-0-3-
    2CS203Object-Oriented Programming in Java2-0-2-4CS102
    2EC201Electrical Circuits and Networks3-0-0-3EC101
    2CS204Operating Systems3-0-0-3CS102
    2CS205Database Management Systems3-0-0-3CS102
    2CS206Java Lab0-0-2-2CS203
    3CS301Computer Networks3-0-0-3CS204
    3CS302Network Protocols and Architecture3-0-0-3CS301
    3CS303Network Security Fundamentals3-0-0-3CS301
    3CS304Distributed Systems3-0-0-3CS204
    3CS305Network Management and Monitoring3-0-0-3CS301
    3CS306Wireless Communication3-0-0-3EC201
    3CS307Network Lab0-0-4-4CS301
    3CS308Security Lab0-0-4-4CS303
    4CS401Software Defined Networking (SDN)3-0-0-3CS301
    4CS402Cloud Computing and Infrastructure3-0-0-3CS301
    4CS403Network Performance Optimization3-0-0-3CS302
    4CS404Network Automation and DevOps3-0-0-3CS301
    4CS405Internet of Things (IoT) Networking3-0-0-3CS301
    4CS406Advanced Network Security3-0-0-3CS303
    4CS407Network Project Lab0-0-6-6CS301, CS303
    5CS501Disaster Recovery and Business Continuity Planning3-0-0-3CS401
    5CS502Network Economics and Policy3-0-0-3-
    5CS503Network Auditing and Compliance3-0-0-3CS406
    5CS504Network Infrastructure Design3-0-0-3CS301
    5CS505Advanced Wireless Technologies3-0-0-3CS306
    5CS506Research Methodology2-0-0-2-
    5CS507Capstone Project I0-0-8-8CS401, CS403
    6CS601Enterprise Network Solutions3-0-0-3CS504
    6CS602Network Analytics and Visualization3-0-0-3CS403
    6CS603Advanced Network Security Techniques3-0-0-3CS406
    6CS604Network Automation Tools and Scripting3-0-0-3CS404
    6CS605Cloud Networking and Virtualization3-0-0-3CS402
    6CS606Network Project Lab II0-0-6-6CS507
    6CS607Capstone Project II0-0-8-8CS507
    7CS701Network Innovation and Emerging Technologies3-0-0-3CS605
    7CS702Network Management Systems3-0-0-3CS405
    7CS703Network Optimization and Simulation3-0-0-3CS302
    7CS704Network Policy and Regulatory Compliance3-0-0-3CS502
    7CS705Internship in Network Administration0-0-12-12CS607
    8CS801Final Thesis and Research0-0-12-12CS705

    Advanced Departmental Elective Courses

    The advanced departmental electives offered in the Network Administration program are designed to provide students with specialized knowledge and practical skills in emerging areas of networking. These courses reflect current industry trends and technological advancements, ensuring that graduates remain competitive in the global job market.

    Software Defined Networking (SDN)

    This course delves into the principles and applications of Software-Defined Networking (SDN), a revolutionary approach to network architecture where the control plane is decoupled from the data plane. Students explore OpenFlow protocols, controller architectures, and network virtualization techniques. The course includes hands-on labs using industry-standard tools such as OpenDaylight, ONOS, and Mininet.

    Cloud Computing and Infrastructure

    This elective provides a comprehensive overview of cloud computing models, deployment strategies, and infrastructure management. Students learn about public, private, and hybrid clouds, containerization technologies like Docker and Kubernetes, and cloud security frameworks. Practical sessions involve configuring cloud environments using AWS, Azure, and Google Cloud Platform.

    Network Performance Optimization

    This course focuses on analyzing, modeling, and enhancing network performance metrics. Topics include Quality of Service (QoS) mechanisms, traffic engineering, and network simulation tools. Students gain experience with network analyzers like Wireshark, NetFlow collectors, and performance monitoring systems.

    Network Automation and DevOps

    This course bridges the gap between network administration and software development practices. Students learn automation scripting using Python, CI/CD pipelines, and infrastructure-as-code methodologies. The curriculum includes exposure to tools like Ansible, Puppet, Chef, and Jenkins, preparing students for roles in modern IT organizations.

    Internet of Things (IoT) Networking

    This elective explores the unique challenges posed by connecting billions of devices to the internet. Topics include sensor networks, edge computing, low-power communication protocols, and security considerations in IoT ecosystems. Practical sessions involve building IoT applications using platforms like Arduino, Raspberry Pi, and ESP32.

    Advanced Network Security

    This course delves into advanced security threats and countermeasures in network environments. Students study penetration testing methodologies, vulnerability assessment, incident response strategies, and compliance frameworks. Hands-on labs involve using tools such as Metasploit, Nmap, and Burp Suite for ethical hacking.

    Network Management Systems

    This course introduces students to enterprise-level network management systems and tools. Topics include SNMP, NetFlow, Syslog, and network monitoring platforms like Nagios, Zabbix, and SolarWinds. Students learn how to configure and maintain large-scale network environments using these tools.

    Disaster Recovery and Business Continuity Planning

    This elective focuses on ensuring business continuity during unexpected events. Students study backup strategies, redundancy planning, incident response protocols, and disaster recovery testing methodologies. The course includes practical exercises involving real-world scenarios such as natural disasters and cyber attacks.

    Network Economics and Policy

    This interdisciplinary course introduces students to the economic aspects of network infrastructure, including pricing strategies, regulatory frameworks, and market dynamics. Students analyze case studies from telecommunications regulators and policy-making bodies, preparing them for careers in policy development and consulting.

    Network Auditing and Compliance

    This course provides an overview of network auditing processes and compliance requirements. Students learn about ISO 27001, NIST Cybersecurity Framework, PCI DSS, and other industry standards. Practical sessions involve conducting audits using tools like Nessus, OpenVAS, and security assessment frameworks.

    Project-Based Learning Philosophy

    The department's philosophy on project-based learning is rooted in the belief that students learn best when they engage with real-world challenges and collaborate on meaningful tasks. Projects are structured to simulate industry environments, encouraging innovation, critical thinking, and problem-solving skills.

    The mandatory mini-projects span across semesters 3 through 6, providing students with opportunities to apply theoretical knowledge in practical settings. These projects are evaluated based on criteria such as technical execution, creativity, teamwork, presentation quality, and adherence to deadlines. Students receive mentorship from faculty members and industry experts throughout the project lifecycle.

    The final-year thesis/capstone project is a comprehensive endeavor that integrates all aspects of the program. Students work under the guidance of faculty mentors to develop original research or innovative solutions in network administration. The capstone project involves extensive literature review, experimental design, implementation, testing, and documentation. It serves as a culmination of their academic journey and prepares them for professional roles or further studies.

    Students select projects based on their interests, career goals, and faculty expertise. The selection process involves proposal submissions, faculty reviews, and final approvals. Faculty mentors are assigned based on alignment with student interests and availability of resources.