PROGRAM HIGHLIGHTS

M.Tech CSE (AI&ML) offers a comprehensive curriculum, hands-on experience, research opportunities, and industry collaboration, making it an attractive program for those interested in pursuing a career in AI and ML.

• Key Focus Areas: Artificial intelligence, Machine Learning, Speech Recognition, Computer Vision, Deep learning, Neural Networks
• Scholarship to candidates having valid GATE score.
• Teaching Assistantship to be provided (as per the recommendation of departmental selection committee, at the time of admission)
• Industry Internship of two months
• Opportunity to work on ongoing in-house/sponsored projects.
• Dedicated Computing Research Lab with high-end computers including a supercomputer (>3 TFlops)
• Highly qualified and experienced faculty from accomplished research backgrounds with vast experience in the field of AI & ML
• Professional Development Grant for presenting papers at International and National Conferences

Why M.Tech CSE(AIML)?

The overall mission of ‘M.Tech in CSE (AI&ML)’ programme at Manipal University Jaipur, is to inculcate academic excellence and research aptitude in the students. Through qualified teaching professionals, the Department of CSE aims to achieve the following objectives:

• AI and ML are inherently interdisciplinary fields, create the concepts from computer science, mathematics, statistics, and other disciplines like Electrical, Electronics & Communication, networking, mechanical and civil. This course may offer a multidisciplinary curriculum that prepares students from every domain to work effectively across these different areas.
• Problem formulation from the real-life scenarios and work with the most up-to-date tools and techniques, which can be a valuable asset in their careers.
• Imparting knowledge and develop expertise into the domain of Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, and Computer Vision.
• Project-based learning to provide technological and intelligent solutions like developing a chatbot, building a recommendation system, or creating an image recognition system.
• Advanced learning in developing intelligent systems for Edge Computing and Explainable AI.
• We have a collaboration with industries and experts in the field so student can learn from their experiences and perspectives. This can also help them to expand their network and find opportunities for further learning and career advancement.
• Provides a strong foundation for entrepreneurship opportunities so candidate can create new products and services by applying innovative solution that meets the needs of the market and make a positive impact on society.
• Candidates wishing for a more advanced level of understanding in the field of AI and ML and contributing to research work can further opt for higher courses like Ph. D. and Post Doctorate in the subjects.

LAB FACILITIES

• Data Analytics lab on Python platform in association with EMC2
• Research Facilities with high power deep learning workstations with GPU RTX2020 configurations.
• Artificial Intelligence lab with GPU Nvidia Quadro P2200.
• High Performance Computing lab equipped with PARAM SHAVAK (India’s first compact supercomputer)
• Advanced Computing Lab with GPUs platform in association with NVIDIA
• Internet of Things Lab with Edge devices Raspberry Pi and Arduino, Jetson Nano kit. IoT lab supported by Texas Instruments, ARM, and Intel
• Research Cluster of Artificial Intelligence and Machine Learning for taking Innovative Projects.
• Wireless Communication lab equipped with Qualnet, WARP boards and modern sensors.
• Professional tools such as Nessus and Burpsuite Professional for performing live practical on Penetration testing.

ELIGIBILITY

B. Tech/B.E in CSE, CE, IT, ISE, AIML, EE, ECE, Mechatronics Engg or equivalent branch of Engineering/ MCA/MSc(IT)/MSc(Mathematics)/MSc(Statistics) with minimum 50% marks in aggregate in the relevant field. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

RESEARCH AREAS OF THE SCHOOL

• Health Care Analytics
• Behaviour Analytics
• AI-based Computational Engineering
• Deep Learning Neural Network
• Computer Vision in Medical Analysis using Deep Learning
• Business intelligence and big data analytics
• Societal implications of use of predictive analytics
• Neural Machine Translation to Local languages
• Gesture and Behaviour Analysis
• Handwriting Recognition
• Deep Fake detection and Image Manipulation
• Automatic Speech Recognition for Indian Languages
• Biomedical Imaging
• Game theory and mechanism design for multi-agent systems
• Multi-agent machine learning and artificial intelligence
• Question Answering System based on Natural Language Processing
• Robotic Process Automation and Artificial Intelligence
• Recommendation System and Intelligent Task Routing