KL University offers 4 years bachelor’s degree in Artificial Intelligence & Data Science Engineering and our courses are designed in Lecture-Tutorial-Practice-Skill (L-T-P-S) model to provide a comprehensive theoretical, practical, technical and skill-based learning experience.
Programs Offered
Specializations offered By AI&DS
Social & Digital Media Analytics: It specializes in analysing online platforms to understand user behaviour, sentiments, trends, and optimize marketing strategies for enhanced digital engagement.
Healthcare Data Analytics: This involves analysing medical data to improve patient outcomes, optimize operations, and advance medical research, using statistical, machine learning, and AI techniques.
Distributed Ledger Analytics: This focuses on analysing data within decentralized systems like blockchain, enabling insights into transactions, behaviours, and performance for improved decision-making and accountability.
Autonomous Systems: It focuses on designing and implementing intelligent systems capable of making decisions and taking actions independently, enhancing efficiency and safety across various domains.
AI for Computational Intelligence: This is a specialization that focuses on developing artificial intelligence algorithms and techniques inspired by natural intelligence and computational models of learning and adaptation. It involves designing algorithms that enable machines to learn from data, make decisions, and solve complex problems in a manner similar to humans or other living organisms.
AI-Driven Language Technologies: It specializes in developing algorithms and models for natural language processing tasks, enabling applications such as machine translation, sentiment analysis, and chatbots
AI Systems for Visual Intelligence: This focuses on creating algorithms and systems that can understand, interpret, and extract meaningful information from visual data, revolutionizing fields like computer vision, image recognition, and object detection.
Data Engineering for AI: This specializes in architecting, processing, and managing large-scale datasets to support AI applications, ensuring data quality, scalability, and efficiency for effective machine learning model training and deployment.
Blockchain Engineering for Web3: This specializes in developing decentralized applications (dApps), smart contracts, and protocols leveraging blockchain technology, enabling secure, transparent, and trust-less interactions in the decentralized web (Web3) ecosystem.
AI-Driven Edge Architectures & Applications: It focuses on designing and implementing artificial intelligence algorithms and models tailored for edge computing devices, enabling real-time processing and decision-making at the network edge for enhanced efficiency and responsiveness.