M.Sc. in Artificial Intelligence & Machine Learning
A two-year postgraduate program emphasizing AI, deep learning, and natural language processing (NLP). Prepares students for roles in AI research, automation, and intelligent systems.
Associate Partner – HVET
Course Highlights
Advanced AI & ML Curriculum
Internship linked to Job
Big Data & AI Integration
Hands-on Learning
Certification from Intel & Nasscom
Industry & Research Collaboration
Cutting-Edge Tools & Frameworks
NEP & SDG Aligned
Placement & Career Support
Tools Covered
Introduction
- Master of Science (MSc) in Artificial Intelligence & Machine Learning is a highly specialized program designed to develop expertise in AI-driven applications, deep learning, and data science. This course is ideal for those looking to build careers in AI research, automation, and intelligent systems development.
- With a curriculum covering neural networks, natural language processing, robotics, and AI ethics, students gain practical experience in building AI models and developing intelligent algorithms.
Eligibility
Passed Bachelor’s Degree or equivalent. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
Duration
2 Years Full-Time (4 Semesters)
Tuition Fees
Rs. 70000 /- Per Semester
*Fees such as Admission, Caution Money, Examination, Hostel, and Transport fees are extra
Program Details
MSc in AI & ML is a 2-year postgraduate program focusing on advanced AI concepts, predictive analytics, and deep learning techniques.
Disciplined Approach – Includes regular AI model development projects, hackathons, and research-based assignments.
Qualitative Approach – Features real-world AI applications, industry collaborations, and hands-on deep learning labs.
Program Outcome
Master AI & ML Algorithms
Develop expertise in computer vision, NLP, and AI-driven automation.
Build Real-World AI Applications
Learn to design AI-powered systems for healthcare, finance, and robotics.
Understand Ethical AI & Data Privacy
Gain insights into responsible AI development and bias-free algorithms.
Developing AI for Real-World Applications
Work on AI-driven solutions for healthcare, finance, cybersecurity, robotics, and autonomous systems.
Harnessing AI with Emerging Technologies
Leverage AI integration with IoT, blockchain, quantum computing, and edge AI.
Encouraging Research & Innovation
Engage in AI research, publications, and patent-driven innovations to push the boundaries of AI technology.
Industry-Ready AI Expertise
Prepare for high-demand careers as AI engineers, research scientists, AI architects, and data scientists in global tech industries
Course at a Glance
Core Subjects: Math for AI, Adv. DSA, Deep Learning, NLP, Computer Vision, RL, AI Security, Ethical AI, Cloud & Edge AI, AI Robotics & IoT.
Specialized Areas: AI in Healthcare, Finance, Smart Cities, Quantum AI, Business Intelligence
Skill Training: AI Lab Internships, Capstone Projects, Hackathons, Research & Innovations, Industry Collaborations.
Outcome: Expertise in AI-driven solutions for cutting-edge research, automation, and industry applications.