GL Bajaj CSE Department | Palo Alto Lab, Cyber Security, 58 LPA Placement Guide

Department Overview

The Computer Science & Engineering Department at GL Bajaj Institute of Technology and Management, Greater Noida has emerged as one of the most distinguished CSE departments in the AKTU network, particularly for its emphasis on cybersecurity, applied AI, and industry-integrated education.

GL Bajaj's CSE department is home to the prestigious Palo Alto Networks Cybersecurity Academy Lab — a collaboration that places it among a select group of engineering colleges in North India to hold official Palo Alto Networks partnership status. This lab enables students to train on enterprise-grade firewalls, threat detection systems, and network security platforms used by Fortune 500 companies.

In addition to standard B.Tech CSE, the department offers a specialized B.Tech CSE (Cyber Security) branch, one of the first private AKTU colleges to offer this as a distinct four-year programme. This specialization has attracted top-rank students and produced graduates who are highly sought after by cybersecurity firms, defence PSUs, and global technology companies.

The department's placement cell has achieved a landmark highest package of 58 LPA, delivered to a student placed internationally, making GL Bajaj's CSE department a placement powerhouse among Greater Noida engineering colleges.

58 LPA

Highest Package Record

9 LPA

CSE Average Package

Palo Alto

Cybersecurity Partner

85%+

Placement Rate

Faculty Members

HOD's Message

"GL Bajaj's CSE department stands at the intersection of theoretical excellence and practical mastery. With our Palo Alto Cybersecurity Lab and dedicated Cyber Security specialization, we are shaping the next generation of digital defenders. Our placement records speak to the quality of education and the dedication of every student and faculty member in this department."

— Dr. Alka Tripathi, Head of Department, CSE, GL Bajaj

Faculty Profiles

#	Name	Designation	Specialization	PhD
1	Dr. Alka Tripathi	Professor & HOD	Network Security, Cryptography	✅ AKTU
2	Dr. Sanjeev Kumar	Professor	Machine Learning, Computer Vision	✅ IIT Kanpur
3	Dr. Monika Garg	Associate Professor	Cybersecurity, Penetration Testing	✅ NIT Allahabad
4	Mr. Gaurav Yadav	Associate Professor	Cloud Security, AWS	Pursuing
5	Ms. Tanvi Agarwal	Assistant Professor	Web Development, React.js	Pursuing
6	Dr. Vikash Pandey	Associate Professor	Database Security, SQL Injection	✅ HBTU
7	Ms. Rashi Srivastava	Assistant Professor	AI, Natural Language Processing	Pursuing
8	Mr. Neeraj Gupta	Assistant Professor	Digital Forensics, OSINT	Pursuing
9	Dr. Pooja Dixit	Assistant Professor	Big Data, Hadoop Ecosystem	✅ JIIT
10	Mr. Shivam Tiwari	Assistant Professor	Blockchain, Smart Contracts	Pursuing

Palo Alto Networks Cybersecurity Lab

🔐 Palo Alto Networks Academy — GL Bajaj

GL Bajaj is an official Palo Alto Networks Academy member, giving CSE and Cyber Security students access to:

Palo Alto Networks Cybersecurity Foundations course (free for enrolled students)
Hands-on training with Next-Generation Firewalls (NGFW)
Simulation-based threat detection and incident response exercises
Pathway to PCCSA (Palo Alto Networks Certified Cybersecurity Associate) certification
Access to Cybersecurity Academy digital badges for portfolio building
Guest lectures by Palo Alto Networks-certified security engineers

Students completing the Palo Alto Academy programme receive a certificate co-signed by GL Bajaj and Palo Alto Networks, significantly boosting employability in cybersecurity roles.

B.Tech CSE (Cyber Security) — Specialized Programme

GL Bajaj offers one of the few dedicated B.Tech CSE with Cyber Security specialization programmes under AKTU. This four-year programme includes advanced subjects in ethical hacking, digital forensics, SIEM systems, incident response, and cloud security, complementing the standard AKTU CSE curriculum with cybersecurity-specific electives in Semesters 5–8.

Semester-wise Core Subjects

Semester	Core Subjects
Sem 1	Mathematics-I, Physics, C Programming, Engineering Drawing, Communication Skills
Sem 2	Mathematics-II, Chemistry, Data Structures, OOP C++, Environmental Science
Sem 3	Discrete Mathematics, Digital Electronics, COA, DBMS, Algorithms
Sem 4	Automata Theory, OS, Computer Networks, Software Engineering, Microprocessors
Sem 5	Compiler Design, AI, Web Technology, Python, Cybersecurity Fundamentals (Palo Alto)
Sem 6	Machine Learning, Cloud Computing, Ethical Hacking & Penetration Testing, Software Testing, Open Elective
Sem 7	Deep Learning, Digital Forensics, IoT Security, Dept Elective, Major Project-I
Sem 8	Blockchain Security, SIEM & Incident Response, Major Project-II, Industrial Training

Lab Facilities

🔐 Palo Alto Cybersecurity Lab

NGFW hardware, intrusion detection systems, simulated enterprise network environments for red/blue team exercises.

🤖 AI & ML Lab

GPU workstations, TensorFlow, PyTorch, scikit-learn; active research in adversarial ML and AI security.

💻 Advanced Programming Lab

90+ workstations, Linux/Windows dual-boot, all major compilers and IDEs for Sem 1–4 practicals.

🌐 Network Security Lab

Wireshark, Snort, Cisco routers, GNS3; network packet analysis and firewall configuration labs.

🗄️ Database Lab

Oracle, MySQL, MongoDB; SQL injection simulation and database hardening exercises for Cyber Security students.

📊 Data Science Lab

Jupyter, R Studio, Tableau; used for analytics capstones and visualization projects.

Placement Statistics