Master cutting-edge AI technologies and transform industries with our comprehensive 2-year M.Sc. Artificial Intelligence program, designed to prepare you for careers in machine learning, deep learning, computer vision, natural language processing, and AI research.
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One of India's leading institutes offering specialized programs in Artificial Intelligence and emerging technologies.
Globally recognized institute known for research excellence and advanced AI & Machine Learning programs.
A leading private university offering modern Artificial Intelligence programs with industry-oriented training.
The Master of Science in Artificial Intelligence (M.Sc. AI) is a 2-year postgraduate degree program that provides students with advanced knowledge in AI theory, algorithms, and real-world applications. Our curriculum integrates foundational AI concepts with emerging technologies to prepare students for leadership roles in the AI revolution.
Our program emphasizes hands-on learning through AI laboratory work, research projects, industry internships, and practical applications. Students develop expertise in machine learning algorithms, neural networks, AI ethics, and intelligent system design essential for success in the rapidly evolving field of artificial intelligence.
Duration: 2 years (4 semesters)
Degree Awarded: Master of Science in Artificial Intelligence (M.Sc. AI)
Accreditation: AICTE Approved & NBA Accredited
Learning Approach: Project-based, Research-oriented, and Industry-focused AI Learning
Lab Facilities: AI Research Lab, Deep Learning Workstations, Robotics Lab, NVIDIA DGX Systems
Focus on supervised/unsupervised learning, reinforcement learning, and statistical learning theory for intelligent systems.
Study neural networks, convolutional networks, recurrent networks, and generative adversarial networks (GANs).
Learn about image recognition, object detection, video analysis, facial recognition, and scene understanding systems.
Focus on text analysis, sentiment analysis, machine translation, chatbots, and conversational AI systems.
Study autonomous systems, robotic perception, motion planning, control systems, and human-robot interaction.
Learn about AI ethics, bias mitigation, fairness, transparency, accountability, and responsible AI development.
Mathematics for AI, Python for AI, Machine Learning Fundamentals, Data Structures for AI, and Research Methodology in AI.
Deep Learning, Natural Language Processing, Computer Vision, AI Ethics & Governance, and AI Lab Practice I.
Specialization courses, Reinforcement Learning, AI Project Management, Research Project Phase I, and AI Seminar Series.
Industrial Internship/AI Research Project, Thesis/Dissertation Work, Comprehensive Viva Voce, and AI Industry Readiness Program.
High-performance GPU clusters (NVIDIA A100, V100) with TensorFlow and PyTorch frameworks for deep learning research
Autonomous robots, drones, robotic arms, and simulation environments for AI in physical systems
Advanced vision systems, 3D cameras, VR/AR equipment, and motion capture systems
Embedded AI systems, IoT devices, edge computing infrastructure, and sensor networks
Developing transparent, interpretable AI models for healthcare, finance, and autonomous systems
GANs, diffusion models, creative AI systems for content generation and synthetic data
Medical imaging analysis, drug discovery, personalized medicine, and health diagnostics
Self-driving cars, drones, navigation systems, and intelligent transportation systems
Climate modeling, environmental monitoring, sustainability solutions, and disaster prediction
Integrating vision, language, audio, and sensor data for comprehensive AI understanding
Our AI graduates are placed in top tech companies, research organizations, and AI startups with competitive salary packages.
Designing and implementing AI solutions and machine learning models in industry
Advancing ML algorithms and conducting cutting-edge research in tech companies and labs
Developing image and video analysis systems for various industry applications
Building language models, chatbots, and text analysis systems for enterprises
Designing intelligent robotic systems and automation solutions for manufacturing and services
Leading AI product development and strategy in technology companies
Admission to the M.Sc. Artificial Intelligence program is based on academic merit, entrance examination scores, technical interview, and mathematics/programming aptitude. We seek students with strong analytical and problem-solving skills for AI.