At Jaipur National University offers a Two-year Post-graduate M.Tech CSE with Specialization in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.
Learning Perspective
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
| Key Information | |
|---|---|
| Duration | 2 Years |
| Eligibility | Min. 55% Aggregate in B.Tech (CS/IT/ECE) |
| Selection Procedure | Entrance Test + Personal Interview |
| Scholarship | As per University norms |
| Tuition Fee | 100,000 |
| Caution Money | 2,000 |
| Note | *Lab & Library fee will be charged separately#Program Proposed from Session 2024-25 |
Programme Structure
01 Semester
- Mathematical Foundations for Machine Learning
- Advanced Algorithms and Analysis
- Machine Learning Techniques
- Artificial Intelligence and Knowledge Representation
- Machine Learning Techniques Lab
- Artificial Intelligence and Knowledge Representation Lab
- Mathematical Foundations for Machine Learning
- Advanced Algorithms and Analysis
- Machine Learning Techniques
- Artificial Intelligence and Knowledge Representation
- Elective I
- Matrix Computation Optimization
- System Engineering and Project Management
- Digital Image Analysis
- Information Retrieval and Web Mining
02 Semester
- Optimization Techniques
- Data Warehousing and Pattern Mining
- Deep Learning Techniques
- Natural Language Computing
- Data Warehousing and Pattern Mining Lab
- Deep Learning Techniques Lab
- Elective II
- Graph Theory and Applications
- Edge and Fog Computing
- Block chain
03 Semester
- English for Research Paper Writing
- Big Data Analytics
- Soft Computing
- Minor Project
04 Semester
- Major Project
