Driving the Digital Era
Computer Science Engineering is the backbone of the modern world. Our department focuses on equipping students with advanced skills in programming, artificial intelligence, and software development.
- Advanced Coding Curriculum
- AI & Machine Learning Labs
- Industry-Integrated Projects
- Hackathons and Coding Bootcamps
0
Total Students
0
Placements
Career Opportunities
Software Engineer
Develop scalable software solutions for top tech giants.
Data Analyst
Analyze complex data to drive business decisions.
Network Admin
Manage and secure enterprise network infrastructures.
Specializations
Our curriculum offers diverse tracks to master cutting-edge technologies.
AI & ML
Deep learning, neural networks, and intelligent systems.
Cyber Security
Network defense, ethical hacking, and information security.
Cloud Computing
Cloud architecture, DevOps, and distributed systems.
HOD's Message
"We strive to cultivate technical excellence and ethical leadership in our students, preparing them for the challenges of tomorrow."
Dr. Department Head
Professor & HODFaculty Profile
Dr. Sarah Johnson
Professor
Prof. Mark Smith
Associate Professor
Dr. Emily Davis
Assistant Professor
Prof. James Wilson
Senior Lecturer
Laboratories
Advanced Computing Lab
High-performance workstations for simulation and modeling.
Hardware & Robotics Lab
Equipped with IoT kits, sensors, and robotics platforms.
Software Engineering Lab
Dedicated space for project development and version control training.
Department Library
Our department library houses a comprehensive collection of over 5,000 volumes, including standard textbooks, reference books, and international journals to support academic and research needs.
- Digital Repository Access
- Quiet Reading Area
- International Journal Section
Top Alumni
Rahul Sharma
Batch of 2018
Software Engineer at Google
Priya Das
Batch of 2019
Senior Analyst at Deloitte
Amit Patel
Batch of 2020
Tech Lead at Infosys
PEO's & PO's
Program Educational Objectives (PEOs)
PEO 1: To provide students with a solid foundation in mathematics, science, and engineering fundamentals required to solve open-ended problems.
PEO 2: To prepare students for successful careers in industry, research, and academia by providing a rigorous learning environment.
PEO 3: To develop professional and ethical attitude, effective communication skills, teamwork skills, and a multidisciplinary approach.
Program Outcomes (POs)
PO 1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization.
PO 2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems.
PO 3: Design/Development: Design solutions for complex engineering problems and design system components or processes.