IILM University, Greater Noida

IILM University, Greater Noida

Greater Noida , Uttar Pradesh
|
4.7 Ratings
|
Private|Estd. 1993

Written By Better Study

Updated on – 02 Jan, 2026

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

AspectDetails
Program NameBTech (CSE) Artificial Intelligence & Machine Learning
Industry PartnerIBM
Duration4 Years
Eligibility10+2 with PCM, 50% aggregate
Key SkillsAI, ML, Deep Learning, Data Science
Career RolesAI Engineer, ML Engineer, Data Scientist

Eligibility Criteria

RequirementDetails
Academic Qualification10+2 from a recognized board
Mandatory SubjectsPhysics, Chemistry & Mathematics (PCM)
Minimum Marks50% aggregate (45% for reserved categories, as applicable)
Admission BasisMerit / 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 AspectTypical Outcomes
Average Package₹7–12 LPA (skill-based variation)
Highest Package₹20–30 LPA+ (select roles)
Placement SupportDedicated career & placement cell
RecruitersIBM 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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