School of Computer Science & Engineering
| Programme Structure | ||||||
| Semesters | I-II | III-IV | V-VI | VII-VIII | IX-X | XI-XVI |
| Credits | 42 | 89 | 132 | 165/180 | 220/240 | 280 |
| Multiple Entry Points | Entry | Entry | Entry | Entry | Entry | Entry |
| Student Progression Program (SPP) |
Orientation Program Finishing School (FS-1) * |
Bridge Course Finishing School (FS-2) ** |
Bridge Course Finishing School (FS-3) *** |
Bridge Course |
Supplementary Courses **** Bridge Course |
Ph.D. Coursework + Research Publications |
| Certification / Degree | Certification in Computer Science | Diploma in Computer Science | B.Sc. Computer Science with Specialization | B.Tech. Computer Science & Engineering with Specialization | B.Tech. Computer Science & Engineering with Honors / Honors-Research |
M.Tech. Computer Science & Engineering Ph.D. Computer Science & Engineering |
| Multiple Exits | Exit | Exit | Exit | Exit | Exit | Exit |
*FS1 - Offline/MOOC courses (3 Credits)
**FS2- Offline/MOOC courses (3 Credits) + Capstone Project (3 Credits)
***FS3- Offline/MOOC courses (3 Credits) + Capstone Project (6 Credits)
**** Supplementary Courses (15 credits) Offline/MOOC courses
| Category | Course / Description | Credits |
|---|---|---|
| Major Core | Computer Science & Engineering Courses | 101 |
| Minors | Professional Minors (AI/ML, Data Science, Cloud Computing, Cyber Security etc.) | 20 |
| Open Electives | Open Elective Courses | 9 |
| Value Added Courses (VAC) | Value Added Courses | 7 |
| Multidisciplinary Courses (MDC) | Multidisciplinary Courses | 12 |
| Ability Enhancement Courses (AEC) | Ability Enhancement Courses | 10 |
| Skill Enhancement Courses (SEC) | Skill Enhancement Courses | 7 |
| Internships | Industry Internships | 5 |
| Project | Minor Project, Major Project & Dissertation | 9 |
| Total (B.Tech. CSE with Specialization) | 160 | |
| Total (B.Tech. CSE Honors/Research) | 180 | |
| Programme Structure | ||||||
| Semesters | I-II | III-IV | V-VI | VII-VIII | IX-X | XI-XVI |
| Credits | 42 | 89 | 132 | 165/180 | 220/240 | 280 |
| Multiple Entry Points | Entry | Entry | Entry | Entry | Entry | Entry |
| Student Progression Program (SPP) |
Orientation Program Finishing School (FS-1) * |
Bridge Course Finishing School (FS-2) ** |
Bridge Course Finishing School (FS-3) *** |
Bridge Course |
Supplementary Courses **** Bridge Course |
Ph.D. Coursework + Research Publications |
| Certification / Degree | Certification in Computer Science | Diploma in Computer Science | B.Sc. Computer Science with Specialization | B.Tech. Computer Science & Engineering with Specialization | B.Tech. Computer Science & Engineering with Honors / Honors-Research |
M.Tech. Computer Science & Engineering Ph.D. Computer Science & Engineering |
| Multiple Exits | Exit | Exit | Exit | Exit | Exit | Exit |
*FS1 - Offline/MOOC courses (3 Credits)
**FS2- Offline/MOOC courses (3 Credits) + Capstone Project (3 Credits)
***FS3- Offline/MOOC courses (3 Credits) + Capstone Project (6 Credits)
**** Supplementary Courses (15 credits) Offline/MOOC courses
| Category | Course / Description | Credits |
|---|---|---|
| Major Core | Computer Science & Engineering Courses | 81 |
| Minors | Professional Minors (AI/ML, Data Science, Cloud Computing, Cyber Security etc.) | 20 |
| Open Electives | Open Elective Courses | 9 |
| Value Added Courses (VAC) | Value Added Courses | 7 |
| Multidisciplinary Courses (MDC) | Multidisciplinary Courses | 12 |
| Ability Enhancement Courses (AEC) | Ability Enhancement Courses | 10 |
| Skill Enhancement Courses (SEC) | Skill Enhancement Courses | 7 |
| Internships | Industry Internships | 5 |
| Project | Minor Project, Major Project & Dissertation | 9 |
| Total (B.Tech. CSE with Specialization) | 160 | |
| Total (B.Tech. CSE Honors/Research) | 180 | |
| SEMESTER 1 | |||||
| Course Code | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|
| 1 | Multidisciplinary - Semiconductor and Quantum Physics* | 3 | 0 | 0 | 3 |
| 2 | Major Core - Digital Electronics and Computer Organization* | 3 | 1 | 0 | 3 |
| 3 | Multidisciplinary - Applied Linear Algebra | 2 | 1 | 0 | 3 |
| 4 | Major Core - Problem Solving and Critical Thinking | 2 | 1 | 0 | 3 |
| 5 | AEC - Professional Communication for Engineers* | 2 | 0 | 0 | 2 |
| 6 | VAC - Environmental Studies & Disaster Management (MOOC)* | 2 | 0 | 0 | 2 |
| 7 | Major Core - Foundation of AI and Automation | 2 | 0 | 0 | 2 |
| 9 | Major Core - Programming in C | 3 | 0 | 0 | 3 |
| 11 | Multidisciplinary - Semiconductor and Quantum Physics Lab* | 0 | 0 | 2 | 1 |
| 12 | Major Core - Programming in C Lab | 0 | 0 | 2 | 1 |
| 13 | SEC - Linux Administration Lab | 0 | 0 | 2 | 1 |
| 14 | Multidisciplinary - Applied Linear Algebra Lab | 0 | 0 | 2 | 1 |
| 15 | Major Core - Digital Electronics and Computer Organization Lab* | 0 | 0 | 2 | 1 |
| Total | 14 | 3/2 | 6/8 | 20 | |
| SEMESTER 2 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | Major Core - Digital Electronics and Computer Organization* | 3 | 1 | 0 | 3 |
| 2 | Multidisciplinary - Semiconductor and Quantum Physics* | 3 | 0 | 0 | 3 |
| 3 | Multidisciplinary - Applied Calculus | 2 | 1 | 0 | 3 |
| 4 | Major Core - Foundations of Data Science & Engineering | 2 | 0 | 0 | 2 |
| 5 | Major Core - Python Programming | 3 | 0 | 0 | 3 |
| 6 | Major Core - Data Structures and Algorithms | 3 | 0 | 0 | 3 |
| 7 | AEC - Professional Communication for Engineers* | 2 | 0 | 0 | 2 |
| 8 | VAC - Environmental Studies & Disaster Management (MOOC)* | 2 | 0 | 0 | 2 |
| 9 | Multidisciplinary - Applied Calculus Lab | 0 | 0 | 2 | 1 |
| 10 | Multidisciplinary - Semiconductor and Quantum Physics Lab* | 0 | 0 | 2 | 1 |
| 11 | Major Core - Python Programming Lab | 0 | 0 | 2 | 1 |
| 12 | Major Core - Data Structures and Algorithms Lab | 0 | 0 | 2 | 1 |
| 13 | SEC - Venture Ideation | 0 | 0 | 4 | 2 |
| 14 | Major Core - Digital Electronics and Computer Organization Lab* | 0 | 0 | 2 | 1 |
| Total | 15 | 2/1 | 10/12 | 22 | |
| SEMESTER 3 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | Major Core - Differential Equations & Optimization Theory | 2 | 1 | 0 | 3 |
| 2 | Major Core - Foundations of Cloud Computing | 2 | 0 | 0 | 2 |
| 3 | Major Core - Algorithms for AI | 3 | 0 | 0 | 3 |
| 4 | Major Core - Object Oriented Programming | 3 | 0 | 0 | 3 |
| 5 | Major Core - Introduction to Cognitive Science | 2 | 0 | 0 | 2 |
| 7 | Internship - Technology for Sustainable Development | 0 | 0 | 2 | 1 |
| 8 | AEC - Industry Readiness Programme-I | 2 | 0 | 0 | 2 |
| 9 | Major Core - Algorithms for AI Lab | 0 | 0 | 2 | 1 |
| 10 | Major Core - Differential Equations & Optimization Theory Lab | 0 | 0 | 2 | 1 |
| 11 | Major Core - Object Oriented Programming Lab | 0 | 0 | 2 | 1 |
| 12 | VAC - Low-Code Development | 0 | 0 | 4 | 2 |
| 13 | VAC - Indian Knowledge System (MOOC) | 2 | 0 | 0 | 2 |
| Total | 16 | 1 | 12 | 23 | |
| SEMESTER 4 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | SEC - Version Control Systems | 1 | 0 | 2 | 2 |
| 2 | Major Core - Data Base Management Systems | 3 | 0 | 0 | 3 |
| 3 | Major Core - Applied Probability & Statistics | 2 | 1 | 0 | 3 |
| 4 | Major Core - Web Development Frameworks | 3 | 0 | 0 | 3 |
| 5 | Major Core - Operating Systems | 3 | 0 | 0 | 3 |
| 6 | AEC - Industry Readiness Programme-II | 0 | 0 | 4 | 2 |
| 7 | Major Core - Computer System Architecture | 3 | 0 | 0 | 3 |
| 9 | VAC - Generative AI for Development | 1 | 0 | 0 | 1 |
| 10 | Major Core - Data Base Management Systems Lab | 0 | 0 | 2 | 1 |
| 11 | Major Core - Applied Probability & Statistics Lab | 0 | 0 | 2 | 1 |
| 12 | Major Core - Operating Systems Lab | 0 | 0 | 2 | 1 |
| 13 | Major Core - Web Development Frameworks Lab | 0 | 0 | 2 | 1 |
| Total | 16 | 1 | 14 | 24 | |
| SEMESTER 5 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | AEC - Industry Readiness Programme-III | 2 | 0 | 0 | 2 |
| 2 | PM-1 - Advanced Machine Learning & Deployment | 3 | 0 | 0 | 3 |
| 3 | Major Core - Data Mining & Pattern Recognition | 3 | 0 | 0 | 3 |
| 4 | Major Core - Vector Databases | 3 | 0 | 0 | 3 |
| 5 | Internship - Summer Internship-I | 0 | 0 | 4 | 2 |
| 6 | Major Core - API Integration and System Design | 2 | 0 | 0 | 2 |
| 7 | Open Elective - *Open Elective-I | 3 | 0 | 0 | 3 |
| 8 | Major Core - Software Engineering | 3 | 0 | 0 | 3 |
| 9 | PM-1 - Professional Minor-1 LAB | 0 | 0 | 2 | 1 |
| 10 | Major Core - Data Mining & Pattern Recognition Lab | 0 | 0 | 2 | 1 |
| 11 | Major Core - Software Engineering Lab | 0 | 0 | 2 | 1 |
| Total | 19 | 0 | 10 | 24 | |
| SEMESTER 6 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | Major Core - AI Minor Project | 0 | 0 | 4 | 2 |
| 2 | PM-2 - Deep Learning | 3 | 0 | 0 | 3 |
| 3 | PM-3 - Natural Language Processing | 3 | 0 | 0 | 3 |
| 4 | Open Elective - *Open Elective-II | 3 | 0 | 0 | 3 |
| 5 | AEC - Industry Readiness Programme-IV | 0 | 0 | 4 | 2 |
| 6 | Major Core - Advance Databases | 3 | 0 | 0 | 3 |
| 7 | PM-2 - Deep Learning-2 Lab | 0 | 0 | 2 | 1 |
| 8 | Major Core - Advance Databases Lab | 0 | 0 | 2 | 1 |
| 9 | PM-3 - Natural Language Processing Lab | 0 | 0 | 2 | 1 |
| Total | 12 | 0 | 10 | 19 | |
| SEMESTER 7 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | Project - AI Project - Phase-1 | 0 | 0 | 4 | 2 |
| 2 | Internship - Summer Internship-II | 0 | 0 | 4 | 2 |
| 3 | PM-4 - Multi Agent AI and Reinforcement Learning | 3 | 0 | 0 | 3 |
| 4 | SEC - Emerging Technologies | 2 | 0 | 0 | 2 |
| 5 | Open Elective - *Open Elective-III | 3 | 0 | 0 | 3 |
| 6 | Major Core - Explainable AI | 3 | 0 | 0 | 3 |
| 7 | PM-4 - Multi Agent AI and Reinforcement Learning Lab | 0 | 0 | 2 | 1 |
| Total | 11 | 0 | 10 | 16 | |
| SEMESTER 8 | |||||
| Course Code | Course Title | L | T | P | Credits |
| 1 | Project/Dissertation - AI Project - Phase-2 | 0 | 0 | 10 | 5 |
| 2 | PM-5 - Generative AI Architectures | 3 | 0 | 0 | 3 |
| 3 | Major Core - AI Ethics and Project Management | 3 | 0 | 0 | 3 |
| 4 | PM-5 - Generative AI Architectures Lab | 0 | 0 | 2 | 1 |
| Total | 6 | 0 | 12 | 12 | |
| Overall Credits | 160 | ||||
| S.No | Semester No | Number of Credits |
|---|---|---|
| 1 | Semester 1 | 20 |
| 2 | Semester 2 | 22 |
| 3 | Semester 3 | 23 |
| 4 | Semester 4 | 24 |
| 5 | Semester 5 | 24 |
| 6 | Semester 6 | 19 |
| 7 | Semester 7 | 16 |
| 8 | Semester 8 | 12 |
| Total | 160 | |
We were privileged to learn from faculty members hailing from prestigious institutions such as IIM and FMS, alongside some of the finest professors at IILM. This strong academic foundation transformed into invaluable wisdom, shaping the path to where I am today.”
“As a proud gold medallist of my batch, I had the privilege of dedicating over a decade to Deloitte Consulting. My time at IILM was truly transformative, shaping both my career and personal growth. Returning to campus for the alumni meet was a nostalgic and heartwarming experience.”
“My MBA at IILM equipped me with essential business and corporate skills that helped me excel professionally. Case studies, group discussions, and grooming sessions with brilliant peers shaped me into a lifelong learner. Transitioning from a non-finance background to a finance enthusiast was possible due to IILM’s well-designed curriculum. Grateful to call IILM my Alma Mater!”
“IILM University’s MBA programme was truly transformative. The faculty’s real-world insights made learning highly practical and relevant. Personalised mentoring and career support aligned my goals with industry needs, while the vibrant campus life and networking opportunities enriched the experience. IILM equips you with the skills to thrive in the corporate world.”
