The B Tech in Artificial Intelligence at IILM University stands out for its forward-thinking curriculum, blending strong theoretical foundations with hands-on exposure to emerging AI technologies. The programme empowers students to explore domains like machine learning, computer vision, natural language processing, robotics, and data analytics through industry-aligned projects and cutting-edge research.
With a NEP-compliant curriculum, state-of-the-art AI and ML labs, and experiential learning opportunities, students gain the skills and confidence to innovate, analyse, and solve complex problems in a rapidly evolving digital landscape.
Delivering quality education with a legacy of three decades.
A strong, supportive alumni community spread across the globe.
Partnering with renowned global institutions for a holistic education experience.
Connecting students with leading employers for rewarding careers.
Eco-friendly campuses situated in prime, accessible locations.
Recognising and rewarding academic excellence with financial support.
Learn from experts with rich academic and industry experience.
Experience an engaging and dynamic environment both inside and outside the classroom.
A curriculum designed to meet global standards of education and practice.
| Track | Description | Career Opportunities |
|---|---|---|
| Healthcare Technology | This track focuses on applying Artificial Intelligence in healthcare systems. Students learn how AI can be used for disease prediction, medical image analysis, clinical decision support, and personalized healthcare solutions. The track also introduces health data analytics and AI-powered healthcare applications. | AI Healthcare Analyst, Medical Data Scientist, Healthcare AI Engineer, Clinical Data Analyst, Health Informatics Specialist |
| Financial Technology | Financial technology track explores the use of AI in financial technologies such as digital banking, fraud detection, algorithmic trading, and financial analytics. Students learn how AI models can improve financial decision-making, risk assessment, and secure financial transactions. | Fintech Analyst, AI Financial Engineer, Risk Analyst, Fraud Detection Specialist, Financial Data Scientist |
| Agriculture Technology | The agriculture technology track focuses on the application of AI in modern agriculture to improve productivity and sustainability. Students explore AI solutions for crop monitoring, smart irrigation, precision farming, soil analysis, and predictive analytics for agricultural planning. | Agriculture Technology Data Analyst, Precision Agriculture Specialist, AI Agriculture Engineer, Agricultural Technology Consultant |
| Enterprise Technology | This track focuses on AI-driven solutions for enterprise systems and business operations. Students learn how AI can be used for business intelligence, automation, enterprise analytics, and intelligent decision-making in large organisations. | AI Solutions Architect, Business Intelligence Analyst, Enterprise AI Engineer, Data Analyst, Automation Specialist |
Academic Qualifications