Centre of Excellence in Artificial Intelligence (AI)

The Center of Excellence (CoE) in Artificial Intelligence at ITM University Gwalior is a specialized academic, research, and innovation hub established to deliver future-ready AI education. The Center is designed to nurture highly skilled professionals capable of designing intelligent systems, conducting applied research, and solving complex real-world problems using Artificial Intelligence, Machine Learning, and Data Science technologies. The CoE emphasizes industry alignment, hands-on learning, ethical AI, innovation, and societal impact , making it a launchpad for the next generation of AI engineers and researchers.

Vision of the Center of Excellence

To become a leading center for education, research, and innovation in Artificial Intelligence, producing globally competent professionals and impactful AI-driven solutions.

Mission of the Center of Excellence
  • Deliver world-class AI education
  • Foster research, innovation, and entrepreneurship
  • Promote ethical and responsible AI
  • Address industrial and societal challenges using AI technologies
Key Objectives
  • Offer industry-aligned programs like B.Tech in AI & ML and AI specializations across disciplines.
  • Drive interdisciplinary AI research and innovations across engineering, management, pharmacy, life sciences, agriculture, law, and design.
  • Establish robust AI infrastructure and labs to support learning and experimentation.
  • Incubate AI-based startups and promote industry-academic partnerships.
  • Engage in community projects to address societal challenges using AI.
Infrastructure & Tools
  • High-Performance Server Configuration:
    • Dual Intel Xeon Gold processors
    • Nvidia L4OS GPUs, 1.92 TB SSDs, 512 GB RAM
  • Software Stack:
    • TensorFlow, PyTorch, CUDA, JupyterLab, VS Code, Docker, HuggingFace, OpenCV
  • Client Machines with Ubuntu, Streamlit, VS Code Remote, JupyterHub
  • Emphasis on remote access, open-source tools, and ethical AI practices.
Achievements
  • Winners of Smart India Hackathon 2023, Finalists and runners-up in major events: IEEE YESIST12 2024, 2025, Kronos Hackathon, Graph-e-Thon, Infotsav 2024
  • Multiple student projects selected for national-level innovation platform.

Programme Offered under Center of Excellence – AI

B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning)
Program Overview

The B.Tech CSE (Artificial Intelligence & Machine Learning) is a four-year undergraduate degree program offered under the Center of Excellence (AI). The program blends strong computer science fundamentals with advanced AI specialization, preparing students for careers in AI-driven industries, research organizations, startups, and higher education. The curriculum is continuously updated to reflect emerging AI trends, industry requirements, and global academic benchmarks.

Program Objectives

The program aims to:

  • Build a strong foundation in computer science, mathematics, and programming
  • Develop in-depth expertise in AI, Machine Learning, Deep Learning, and Data Analytics
  • Foster problem-solving, analytical thinking, and innovation
  • Promote ethical, responsible, and human-centric AI
  • Prepare graduates for industry, research, entrepreneurship, and global opportunities
Key Features of the Program
  • Curriculum benchmarked with top IITs, NITs, and global universities
  • AI-focused laboratories and modern computing infrastructure
  • Project-Based Learning (PBL) from early semesters
  • Multiple minor and major projects aligned with real-world problems
  • Industry internships, expert talks, workshops, and certifications
  • Exposure to research, publications, hackathons, and innovation challenges
  • Focus on ethical AI, sustainability, and social impact

Admission to B.Tech CSE (AI & ML) under CoE

B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning)

The B.Tech CSE (AI & ML) under the Center of Excellence is offered to newly admitted students for the upcoming academic session. Admission follows a selective and merit-based process to ensure academic excellence and readiness for advanced AI learning.

Eligibility Criteria

Candidates seeking admission must satisfy the following requirements:

  • 10+2 (or equivalent) with Physics and Mathematics as compulsory subjects
  • Minimum 70% aggregate marks in Class 10th & 12th (or equivalent examination)
  • Strong aptitude for mathematics, logical reasoning, and analytical thinking
  • Keen interest in Artificial Intelligence, Machine Learning, and emerging technologies
  • Eligibility as per University norms and applicable regulatory guidelines
Relaxation in eligibility criteria may be applicable as per University policy.
Admission & Selection Process

Admission to the Center of Excellence is competitive and merit-driven.

Step 1: University Admission
  • Candidates apply for B.Tech CSE (AI & ML) through the official admission process of ITM University, Gwalior
  • Admission may be based on qualifying examination merit / entrance test / counseling, as notified by the University
Step 2: CoE Aptitude & Technical Assessment

Shortlisted candidates may undergo a Center of Excellence Assessment, covering:

  • Logical and analytical reasoning
  • Basic mathematics and problem-solving skills
  • Programming aptitude (foundational level)
  • Awareness of AI and emerging technologies
Step 3: Personal Interaction / Interview
  • Evaluation of motivation, learning attitude, communication skills, and curiosity
  • Assessment of readiness for rigorous, project-oriented AI education
Final Selection

Final admission under the Center of Excellence (AI & ML) is based on:

  • Academic merit
  • Performance in CoE assessment
  • Personal interaction/interview

Limited seats are offered to ensure quality learning, mentoring, and industry exposure.

Degree Awarded

Final admission under the Center of Excellence (AI & ML) is based on:

  • Bachelor of Technology (B.Tech)
  • Computer Science & Engineering (Artificial Intelligence & Machine Learning)
  • Degree awarded by ITM University, Gwalior
  • Program delivered under the Center of Excellence (AI & ML)

Limited seats are offered to ensure quality learning, mentoring, and industry exposure.

Curriculum Structure – B.Tech CSE (AI & ML)

The curriculum spans 8 semesters, integrating core CS subjects, AI specialization, mathematics, projects, internships, and electives.
Semester I – Foundations of Computing & AI
  • Engineering Physics
  • Mathematics for AI – I (Linear Algebra & Discrete Structures)
  • Effective Communication & Technical Writing
  • Fundamentals of Artificial Intelligence
  • Computational Thinking & Programming in C
  • Design Thinking
  • Sports / Yoga / NSS / NCC (Audit)
Semester II – Programming, Data & Systems
  • Data Structures & Algorithms
  • Mathematics for AI – II (Calculus & Optimization)
  • Data Analytics using Python
  • Computer System Organization
  • Database Management Systems
  • Minor Project – I
  • Indian Knowledge System (Audit)
Semester III – Algorithms & Machine Learning Core
  • Object Oriented Programming using Java
  • Design & Analysis of Algorithms
  • Operating Systems (Linux Lab)
  • Machine Learning Principles
  • Mathematics for AI – III (Probability & Statistics)
  • Minor Project – II
  • Seminar
Semester IV – Deep Learning & Software Systems
  • Data Communication & Computer Networks
  • Deep Learning
  • Full Stack Development
  • Software Engineering & Agile Practices
  • Elective – I
  • Minor Project – III
Semester V – Domain-Oriented AI
  • Natural Language Processing
  • Big Data Analytics
  • Cloud Computing & DevOps
  • Elective – II (Domain Foundation)
  • Minor Project – IV (Domain-Based)
  • Seminar
Semester VI – Advanced & Emerging AI
  • Distributed & Federated Learning
  • Computer Vision
  • Generative AI & Foundation Models
  • Elective – III (Application-Oriented)
  • Minor Project – V
Semester VII – Ethics, Research & Major Project
  • Ethical & Responsible AI
  • Elective – IV (Advanced / Industry-Oriented)
  • Elective – V (Emerging / Research-Oriented)
  • Major Project (Advanced AI Trends)
  • Seminar
Semester VIII – Internship & Capstone
  • Open Elective / MOOC
  • Industry Internship / Capstone Project
  • Seminar
Elective Domains (Indicative)
  • AI in Healthcare
  • AI in Agriculture
  • AI for Smart Cities
  • AI for Energy & Sustainability
  • AI in Cybersecurity
  • Intelligent Robotics
  • Reinforcement Learning
  • Blockchain & Decentralized AI
  • Autonomous Systems & Drones
  • AI for Social Good (SDGs)

Career Opportunities & Higher Education Pathways

Graduates of the B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) under the Center of Excellence (AI) are nurtured to become technically competent, ethically responsible, research-oriented, and industry-ready AI professionals, in line with the Vision, Mission, and Objectives of the CoE.

The program prepares graduates to design intelligent systems, analyze complex real-world problems, develop innovative and sustainable AI solutions, and contribute meaningfully to society and industry.

Industry & Professional Roles

Graduates can pursue challenging roles across diverse sectors such as healthcare, agriculture, smart cities, finance, manufacturing, energy, and social impact domains, including:

  • AI Engineer – Designing and deploying intelligent systems aligned with ethical and responsible AI practices
  • Machine Learning Engineer – Developing data-driven models and scalable ML pipelines for real-world applications
  • Data Scientist – Extracting insights from complex datasets to support data-informed decision-making
  • AI Research Assistant – Contributing to applied and fundamental research in AI and ML
  • Computer Vision / NLP Engineer – Building advanced perception and language-based AI systems
  • Software Engineer (AI Systems) – Integrating AI models into robust, scalable software solutions
  • Business & Data Analytics Professional – Applying AI and analytics for strategic, sustainable, and business-driven outcomes
Research, Innovation & Entrepreneurship

In alignment with the CoE’s mission to promote research, innovation, and entrepreneurship, graduates are well-equipped to:

  • Work in AI research labs, R&D centers, and innovation hubs
  • Contribute to research publications, patents, and technology transfer
  • Launch AI-based startups addressing industrial and societal challenges
  • Develop human-centric and socially responsible AI solutions
Higher Education & Global Opportunities

Reflecting the CoE’s objective of creating globally competent professionals, graduates are well-prepared to pursue:

  • MS / M.Tech programs in Artificial Intelligence, Machine Learning, Data Science, and related fields
  • PhD / Doctoral research in AI & ML in India and abroad
  • Specialized certifications and advanced training from leading global universities and research institutions
Register here for scholarship. - Apply Now