B.Sc. Artificial Intelligence, Machine Learning & Robotics

Eligibility

• PUC / HSc / CBSE / ICSE Sciences Stream with Computer Science / Mathematics / Statistics

• All State Boards overall 55%

• CBSE / ICSE overall 50%

Program Highlights

• Interdisciplinary Curriculum:
  A comprehensive curriculum covering foundational principles in Artificial Intelligence, Machine Learning, and Robotics, integrating knowledge from computer science, mathematics, and engineering.
• Practical Learning:
  Emphasis on hands-on projects and practical applications to provide students with real-world problem-solving experience.
• Specialized Courses:
  Specialized courses in key areas such as machine learning algorithms, computer vision, natural language processing, robotic systems, and IoT.
• Industry-Relevant Tools:
  Exposure to industry-standard tools and technologies used in AI, ML, and Robotics development.
• Research Opportunities:
  Opportunities for students to engage in research projects, working on cutting-edge topics alongside faculty members.
• Internship Placements:
  Collaborations with industry partners to facilitate internships, allowing students to gain practical experience and insights into the professional environment.

Career Outcome

• Machine Learning Engineer:
  Design and implement machine learning models for various applications.
• Robotics Developer:
  Develop and program robotic systems for automation, manufacturing, or other specialized applications.

• Data Scientist:
  Analyze and interpret large datasets to derive insights and support data-driven decision-making.

• AI Researcher:
  Contribute to AI research, exploring new algorithms, methodologies, and applications.
• Automation Specialist:
  Implement automation solutions using AI and Robotics technologies to enhance operational efficiency.
• Computer Vision Engineer:
  Specialize in computer vision applications, such as image recognition and video analysis.
• Natural Language Processing Specialist:
  Work on applications involving understanding and processing human language, such as chatbots and language translation.
• IoT Solutions Architect:
  Design and implement Internet of Things (IoT) solutions leveraging AI and ML technologies.
• Machine Learning Consultant:
  Provide consultancy services to organizations on implementing machine learning solutions.
• Research Scientist:
  Engage in scientific research to advance knowledge in the fields of AI, ML, and Robotics.

Graduates of the B.Sc. Artificial Intelligence, Machine Learning & Robotics program at S-VYASA are well-equipped to pursue dynamic and high-demand roles at the intersection of technology and innovation. With the expertise of S-VYASA, you’ll be prepared for a successful and impactful career in the evolving field of AI, machine learning, and robotics.