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Program Details
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PostgraduatePROGRAMME LEVEL
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EnglishLANGUAGE
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2YEAR PROGRAM
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4SEMESTER
About the Program
The M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sanskaram University is a postgraduate program designed to advance knowledge and expertise in AI and ML technologies. The curriculum combines advanced theoretical concepts with practical applications, covering topics such as deep learning, natural language processing, computer vision, and big data analytics. Students engage in cutting-edge research, projects, and internships, gaining hands-on experience with state-of-the-art tools and techniques. Graduates are prepared for leadership roles in academia, research, and industry, driving innovation and solving complex problems with AI and ML solutions.
Eligibility
Candidate with B.Tech. from the recognized university or equivalent with CSE (AI and ML) with a minimum 50% marks in aggregate.
Fee Structure
| Program Fees (Per Annum) | 1,20,000 | |
| Security Fees (One Time, Refundable) | 10000 | |
| Prospectus (One Time, Non Refundable) | 1000 | |
| Alumni Fees (One Time, Non Refundable) | 2000 |
Program Outcomes
Advanced Knowledge and Expertise Apply advanced knowledge of AI and ML theories, algorithms, and methods to develop innovative, efficient, and scalable solutions to complex problems in diverse domains.
Problem Analysis and Research Skills Analyze complex problems related to AI/ML, conduct original research, and formulate novel approaches for solving problems using state-of-the-art techniques and tools in the AI/ML field.
Design and Development of Solutions Design, develop, and implement AI/ML models and systems, considering the constraints of performance, scalability, and ethical implications to solve real-world problems.
Modern Tools and Technologies Utilize advanced AI/ML tools, frameworks, and platforms (such as TensorFlow, PyTorch, Scikit-learn) to develop solutions for real-world problems, ensuring that these solutions are state-of-the-art and aligned with the latest industry trends.
Communication Skills Communicate complex AI/ML concepts and solutions clearly and effectively through written reports, presentations, and technical documentation to stakeholders, team members, and the broader community.
Program Educational Objectives
Advanced Knowledge in AI and ML Graduates will demonstrate advanced knowledge and expertise in artificial intelligence (AI) and machine learning (ML) principles, techniques, and tools, and will apply this knowledge to develop innovative solutions to real-world problems in academia, research, and industry.
Application of AI/ML Techniques in Diverse Domains Graduates will apply AI and ML methodologies, including deep learning, natural language processing, computer vision, and big data analytics, to address complex problems across a variety of fields such as healthcare, finance, robotics, and autonomous systems.
Leadership in Research and Development Graduates will lead and contribute to cutting-edge research in AI and ML, working on complex, interdisciplinary projects that drive technological advancements and solve industry-specific challenges.
Lifelong Learning and Industry Readiness Graduates will engage in continuous learning and stay updated with emerging trends in AI, ML, and related technologies, preparing themselves for leadership roles in both academia and industry, while contributing to the AI/ML community through publications and collaborations.
