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Duration
2 Years
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Eligibility
Min. 55% Aggregate in B.Tech (CS/IT/ECE)
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Selection Procedure
EntranceTest+PI
Career Paths
Career Prospects
As artificial intelligence takes various industries forward; machine learning and deep learning are going to be the central forces rallying behind this revolution. The two together form the basic foundation technology operating behind AI. Thus, it would not be wrong to suggest that students with a basic/specialized training in machine learning or AI shall get a major competitive advantage in the workforce in the upcoming years. If you also have the additional knowledge of data science, your career prospects would be even brighter. Some of the job requirements in the industry can be brought down under the following categories:
- Data Scientist: The key role of a Data Scientist would be to track numbers. Being in this role, one has to have a complete understanding of the data associated with the product or services of the company.
- AI Specialist: An AI specialist is a subject matter expert and their job is to develop computers and software that would replicate a human brain.
- Machine Learning Engineer: The role of a machine learning engineer is to develop software that would be capable of running AI tools that would further assist in achieving business goals.
- Robotics Engineer: A robotic engineer’s responsibility would be to design and maintain robots as well as keep a check on their electronic systems.
Curriculum
- 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
- 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
- English for Research Paper Writing
- Big Data Analytics
- Soft Computing
- Minor Project
- Major Project
Tuition Fee
₹100000
Note
*Lab & Library fee will be charged separately
#Program Proposed from Session 2026-27
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