

Course Overview— B Tech (CSE) Artificial Intelligence and Machine Learning (with IBM)
The BTech in Computer Science & Engineering with specialisation in Artificial Intelligence and Machine Learning (with IBM) is a future-oriented undergraduate program designed to prepare students for high-growth careers in AI, ML, data intelligence, and intelligent systems.
This program blends core computer science fundamentals with IBM-aligned AI and ML technologies, enabling students to design, build, and deploy data-driven and intelligent solutions. Through hands-on labs, live industry projects, and certifications supported by IBM, students gain real-world exposure to enterprise-level AI tools and frameworks.
Program Highlights
Industry-integrated curriculum powered by IBM
Hands-on training in AI, ML & data science tools
Live projects, labs & IBM-aligned certifications
Strong focus on practical problem-solving
Internships, hackathons & capstone projects
| Aspect | Details |
|---|---|
| Program Name | BTech (CSE) Artificial Intelligence & Machine Learning |
| Industry Partner | IBM |
| Duration | 4 Years |
| Eligibility | 10+2 with PCM, 50% aggregate |
| Key Skills | AI, ML, Deep Learning, Data Science |
| Career Roles | AI Engineer, ML Engineer, Data Scientist |
Eligibility Criteria
| Requirement | Details |
|---|---|
| Academic Qualification | 10+2 from a recognized board |
| Mandatory Subjects | Physics, Chemistry & Mathematics (PCM) |
| Minimum Marks | 50% aggregate (45% for reserved categories, as applicable) |
| Admission Basis | Merit / CUET / JEE / University admission process |
Curriculum Highlights
Core Computer Science Foundation
Programming (C, C++, Java, Python)
Data Structures & Algorithms
Operating Systems
Database Management Systems
Computer Networks
Software Engineering
Artificial Intelligence & Machine Learning
Mathematics for AI & ML
Artificial Intelligence Fundamentals
Machine Learning Algorithms
Deep Learning & Neural Networks
Natural Language Processing (NLP)
Computer Vision
Reinforcement Learning
Data & IBM Technology Stack
Data Analytics & Visualization
Big Data & Cloud Platforms
IBM Watson & AI Services
Model Deployment & MLOps
AI Ethics, Governance & Responsible AI
Practical Learning
AI & ML labs using industry tools
IBM-guided live projects
Hackathons, case studies & innovation challenges
Final-year capstone project
Internships & Industry Exposure
Students gain exposure through:
AI & ML internships with IT firms and startups
Industry-led projects supported by IBM ecosystem
Expert talks, workshops & certification programs
Research-oriented & applied AI learning
Placement Overview
| Placement Aspect | Typical Outcomes |
|---|---|
| Average Package | ₹7–12 LPA (skill-based variation) |
| Highest Package | ₹20–30 LPA+ (select roles) |
| Placement Support | Dedicated career & placement cell |
| Recruiters | IBM Partners, TCS, Infosys, Wipro, Accenture, Deloitte, Cognizant, Tech Mahindra, AI Startups |
Placement outcomes depend on skills, certifications, internships, and project experience.
Career Opportunities
Graduates can pursue roles such as:
AI Engineer
Machine Learning Engineer
Data Scientist / Data Analyst
Computer Vision Engineer
NLP Engineer
AI Research Associate
MLOps Engineer
Business Intelligence Engineer
Graduates can also opt for higher studies (MTech/MS/MBA-Tech) or advanced global AI certifications.
Why Choose This Program at IILM University?
IBM-powered AI & ML curriculum
Strong focus on hands-on labs & real-world projects
Exposure to enterprise-grade AI tools
Industry mentorship, internships & placement support
Modern labs, innovation hubs & research culture
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