B.Sc. in AI, Machine Learning and Robotics Course at S-Vyasa University, Bangalore

B.Sc in AI & Machine Learning (Robotics) at S-VYASA University, Bengaluru/Bangalore

S-VYASA University

B.Sc in AI & Machine Learning (Robotics)

Science (B.Sc)

Shortlisted by 44+ Students

Location: Bengaluru/Bangalore

Duration: 3 YEAR

Regular / Offline

Average Fees: ₹ 3.30 Lakhs

Highlights B.Sc. in Artificial Intelligence, Machine Learning, and Robotics at S-VYASA University—a program crafted for curious minds eager to explore intelligent technologies. This course offers a strong interdisciplinary foundation, blending computer science, engineering, and mathematics to equip you with in-demand skills. From real-world projects and robotics systems to NLP and IoT, you'll get hands-on with the tools that drive innovation today. With research opportunities and internships built into the curriculum, you’ll graduate with both technical expertise and industry exposure. At S-VYASA, we help you turn your passion for AI and ML into a powerful, future-ready career.

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Frequently Asked Questions

BACHELOR OF SCIENCE IN ARTIFIIAL INTELLIEGNCE ,MACHINE LEARAING&ROBOTICS

Welcome to the forefront of technological innovation with the Bachelor of Science (B.Sc.) program at S-VYASA, specializing in Artificial Intelligence (AI), Machine Learning (ML). This groundbreaking program is designed to propel students into the dynamic world of cutting-edge technologies, providing a comprehensive foundation in AI, ML, and Robotics.

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 Learn 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.

Course Duration- 3 years

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