B.Tech Computer Science and Engineering at IILM University, Gurugram

The Bachelor of Technology (B.Tech) in Computer Science and Engineering at IILM University, Gurugram is a comprehensive 4-year undergraduate program. It is designed to provide students with a deep understanding of software development, hardware systems, and emerging technologies like AI, Cloud Computing, and Cyber Security.
The curriculum follows the National Education Policy (NEP) 2020 framework, offering a flexible and multidisciplinary approach that combines core engineering principles with industry-aligned specializations.

B.Tech Computer Science and Engineering – Course Details

Duration: 4 Years (8 Semesters)
University: IILM University, Gurugram
Eligibility:
- Minimum 50% marks in 10+2 with Physics and Mathematics as compulsory subjects.
- Admission is typically based on merit and entrance exams like JEE Main, CUET, or the IILM University Entrance Test.

The program balances theoretical foundations with extensive laboratory work and industry projects.

Year	Core Computer Science Subjects	Specialized & Advanced Subjects	Practical & Industry Components
1st Year	Programming in C/Python, Physics, Mathematics	Engineering Graphics, Communication Skills	Computing Labs, Basic Workshop
2nd Year	Data Structures, Java, Operating Systems	Database Management (SQL/NoSQL), Discrete Maths	Project-Based Learning, Industry Visits
3rd Year	Computer Networks, Algorithms (DAA)	AI & Machine Learning, Cloud Computing	Summer Internship, Hackathons
4th Year	Software Engineering, Cyber Security	Big Data Analytics, Internet of Things (IoT)	Capstone Project, Industry Dissertation

Graduates from IILM Gurugram are equipped for high-demand roles in the global tech ecosystem.

Software Developer: Design, code, and test applications for web and mobile.
Data Scientist: Analyze large datasets to drive business insights and predictions.
Cyber Security Analyst: Protect organizational networks and data from digital threats.
Cloud Engineer: Manage and deploy scalable infrastructure on AWS, Azure, or Google Cloud.
AI/ML Engineer: Build intelligent systems and automated decision-making models.

Industry Collaborations: Strategic partnerships with IBM, Microsoft, and L&T to offer specialized tracks and certifications.
Modern Labs: Access to high-end computing facilities for AI, Robotics, and Cloud development.
Placement Excellence: A dedicated career service department with a strong record of placements in top-tier tech firms.
NEP-Compliant Flexibility: Option to choose minors in areas like Management or Liberal Arts to broaden career prospects.
Innovation Focus: Encouragement for student-led research and participation in national-level hackathons.

Know Your Odds Of Admission