M.Tech. (Master of Technology) in Artificial Intelligence and Machine Learning
M.Tech. (Master of Technology) in Artificial Intelligence and Machine Learning is a postgraduate degree program that focuses on various machine learning algorithms and techniques for building predictive models from data. Topics may include supervised learning, unsupervised learning, reinforcement learning, neural networks, and deep learning. This course provides an introduction to the principles, methodologies, and applications of artificial intelligence. Students learn about technologies and platforms for processing, analyzing, and deriving insights from large-scale datasets.
| Eligibility Criterion | Bachelor degree in Engineering/Technology or equivalent or a Master degree in Science/MDU Entrance examination |
| Programme | Branch/ Specialization | Duration (Years) | No. of Seats | One time Charges including Registration | Yearly Fee (All India Quota) | Yearly Fee (UK Domicile) |
| Master of Technology (M.Tech.) | Artificial Intelligence and Machine Learning | 2 | 20 | Rs.-16000/- | Rs.-100000/- | Rs.75000/- |
| SCHOLARSHIP PROGRAMS (Only One will be applicable) | ||||
| Sr. No. | Particulars | Category | % | Applicable |
| 1 | Single Girl Child | 10% | all years | |
| 2 | Merit Based | 75-<80% | 20% | * |
| 3 | >=80-<90% | 30% | * | |
| 4 | >=90-<95% | 50% | * | |
| 5 | >=95-<100% | 70% | * | |
| 6 | For Hill States (J&K, Ladakh, Assam, Arunachal Pradesh, Manipur, Mizoram, Meghalaya, Sikkim, Tripura, HP, Darjeeling, Kalimpong (West Bengal)) | 15% | all years | |
| 7 | Martyrs/Defence Scholarship | 20% | all years | |
| 8 | Sport Quota Scholarship | State | 25% | all years |
| 9 | National | 35% | all years | |
| 10 | International | 50% | all years | |
| 11 | Disabled Student Scholarship | 40% | all years | |
| 12 | Siblings Scholarship | 25% | ** | |
| 13 | Early Bird till 8th June | 40% | * | |
| * | From 2nd year scholarship will be offered only on 75% attendance in previous year with no back paper and no misconduct. | |||
| ** | applicable on those courses whose fees will be less compared to other siblings | |||
