IILM University Gurgaon Answered Questions

A mix of excitement and adjustment. You'll meet tons of new people, start classes, and settle into routines. Expect ice-breaking sessions, club sign-ups, and a bit of homesickness. But trust me — you'll find your rhythm quickly, especially once you've made a couple of friends.

The School of Management at IILM University, Gurugram has the following Industry and Domain Specific Certifications :KPMG1. Financial Modelling & Valuation2. Marketing Analytics3. Lean Six SigmaSAS1. SAS Visual Statistics: Interactive Model Building2. Global Badge3. SAS® Certified Associate: Modelling Using SAS Visual Statistics Master

Sure! Here's the answer in a student-like tone, short and clear:The industry exposure at IILM Gurugram is honestly quite good. We get to attend regular guest lectures, workshops, and sessions with top industry leaders. There are live projects, company visits, and a mandatory summer internship that really helps us apply what we learn. The curriculum is also designed with inputs from companies like IBM, AWS, and L&T, so it stays updated with industry needs. Overall, you get a lot of practical learning beyond just classroom theory.

The overall vibe of IILM University is quite positive. IILM University has a fully-equipped infrastructure with facilities including a cafeteria, convenience store, gym, laundry facility, shuttle services, hospital/medical facilities, hostel, labs, library, sports complex, and Wi-Fi. The university has both on and off-campus hostel facilities where evening programmes, dinners, and cultural activities are available to boost community spirit. 

Candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.Candidates must pass without any grace marks.The admission process typically involves submitting an application form, followed by a review of the candidate's eligibility and academic performance.Shortlisted candidates may be required to appear for a personal interview or other selection processes as determined by the university.The final selection is based on the candidate's overall performance and eligibility.

To get admission to B.Tech. in Computer Science and Engineering (AI & ML) at IILM University, candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.

No entrance exam is required for admission to B.Tech. in Computer Science and Engineering (AI & ML) at IILM University. The eligibility criteria include passing a 10+2 level examination or its equivalent from a recognised board/university with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together.

To apply for B.Tech. in Computer Science and Engineering (AI & ML) at IILM University, candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in the subject combination of Physics and Mathematics (compulsory) and one optional subject (Chemistry/Biotechnology/Biology/Technical Vocational subject) taken together. Candidates must pass without any grace marks. The programme integrates computer Science and engineering with a specialised focus on AI and ML, offering an interdisciplinary educational experience with hands-on learning and emphasis on practical projects.

IILM University Gurugram – B.Tech CSE Curriculum SummaryCategoryDetailsCurriculum TypeNEP-aligned, Outcome-Based Education (OBE), Choice-Based Credit System (CBCS)Teaching ApproachProject-Based Learning, Pair Programming, Industry-integrated modules (Microsoft, IBM, L&T EduTech)Duration4 Years (8 Semesters)Core SubjectsProgramming, Data Structures, Algorithms, OS, DBMS, Networking, Software Engineering, Computer Architecture, Compiler DesignLab WorkMandatory labs across all core subjects + project work and real-time coding assignmentsInternshipsMandatory internships from 4th or 5th semester onwards, supported by industry partnersCapstone ProjectFinal-year project work required; focuses on real-world problem-solvingSample Elective SubjectsElective DomainTopics IncludedCloud ComputingVirtualization, PaaS, Security in Cloud, Architecture DesignCybersecurityInfoSec, Ethical Hacking, Application Security, GovernanceData Science & AIML Algorithms, Data Engineering, Neural Networks, NLPIoTSensors, Protocols, IoT Architecture, Embedded SystemsFull-Stack Web DevHTML, CSS, JavaScript, Node.js, MongoDB, ReactGaming & Immersive TechGame Design, 3D Modeling, VR/AR Interaction TechniquesSemester-wise Curriculum Structure – B.Tech CSE at IILM University GurugramSemesterSubjects / ComponentsSemester 1- Introduction to Programming (C/Java) - Applied Mathematics-I - Digital Logic Design - Communication Skills - Environmental Science - Programming LabSemester 2- Data Structures - Applied Mathematics-II - Computer Organization - Operating Systems - Engineering Physics - Data Structures LabSemester 3- Object-Oriented Programming (Java/C+) - Discrete Mathematics - Database Management Systems (DBMS) - Web Technologies - DBMS Lab - Minor Project-ISemester 4- Design & Analysis of Algorithms - Computer Networks - Software Engineering - Computer Graphics / Elective-I - Algorithm Lab - Mini Project-IISemester 5- Artificial Intelligence / Elective-II - Compiler Design - Internet of Things (IoT) - Elective-III (based on specialization) - IoT Lab - Internship / FieldworkSemester 6- Machine Learning - Cloud Computing / Cybersecurity (specialization) - Mobile App Development - Elective-IV - Capstone Project - Phase ISemester 7- Advanced Elective (AI/DS/Blockchain/Full Stack) - Minor Specialization Project - Industry Certification Courses - Open Elective (Cross-discipline)Semester 8- Capstone Project - Phase II - Startup/Incubation/Internship Option - Seminar & Viva - Industry Mentorship Presentation