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S-VYASA University (Deemed-to-be-University)
B.Tech Artificial Intelligence & Machine Learning
Engineering (B.E. / B.Tech)
Shortlisted by 686+ Students
Location: Bengaluru/Bangalore
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 10.80 Lakhs
Highlights Begin an extraordinary journey into the realms of Artificial Intelligence (AI) and Machine Learning (ML) with our Bachelor of Technology (BTech) program in Computer Science at S-VYASA University. We don’t just teach; we guide you towards a future where innovation meets intelligence. Explore a comprehensive curriculum that includes advanced topics in AI, ML, data science, and neural networks.
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B.Tech in Artificial Intelligence & Machine Learning
Begin an extraordinary journey into the realms of Artificial Intelligence (AI) and Machine Learning (ML) with our Bachelor of Technology (BTech) program in Computer Science at S-VYASA University. We don’t just teach; we guide you towards a future where innovation meets intelligence. Explore a comprehensive curriculum that includes advanced topics in AI, ML, data science, and neural networks. Engage in cutting-edge research projects, collaborate with leading experts, and gain hands-on experience through internships and practical labs. At S-VYASA, you'll be equipped with the knowledge and skills to shape the future of technology and drive breakthroughs in AI and ML.
Bachelor of Technology (BTech) focuses on Knowledge, Skills, and Abilities that students are expected to attain by the time they complete the programme. The Programme Outcomes are designed to reflect the goals of the programme and ensure that learners are well-prepared for the demands of the industry.
PROGRAM HIGHLIGHTS
Specialisation Curriculum:
The programme offers a well-rounded curriculum covering core subjects such as core engineering, programming, data structures, algorithms, database management systems, computer networks, software engineering, and web development. There are 6 (six) specialisations under Major and Minor options for students to choose from within the BTech Programme.
Hands-on Learning:
Hands-on learning is a crucial aspect of BTech programmes. Learners participate in laboratory sessions, workshops, and practical and experiential training to apply theoretical knowledge to real-world engineering problems. They gain practical skills in designing, building, testing, and analyzing engineering systems, components, and prototypes.
Global and Indian Certification and Teaching:
The programme is integrated with Global Certifications from HETIC School of Digital Leadership, Paris, and taught by skilled faculty and renowned educators from IITs, IIMs, NITs and Global Universities.
Industry-Relevant Skills through industry certifications:
The programme focuses on equipping students with the latest tools, technologies, and methodologies used in the IT industry, ensuring they are ready to meet the demands of the rapidly evolving technology landscape. The Programme will have certifications such as Google, Python Institute, MongoDB, Salesforce, Institute of Business Analytics, C++ Institute, AWS, IBM, Microsoft, and more…
Industry and Academia Collaboration:
Masterclasses, workshops and immersions from renowned academicians from IITs, IIMs, NITs, prestigious Indian and Global Universities AND industry experts in various domains from fortune 500 global companies such as Google, Amazon, World Bank, Honeywell, Accenture, Capgemini, etc.
Professional Development:
Includes components focused on professional development, including workshops, seminars, and training sessions on communication skills, teamwork, leadership, ethics, and entrepreneurship. These initiatives prepare students for successful careers in engineering by enhancing their soft skills, professionalism, and adaptability.
Global Perspective:
We offer international exchange programmes, study abroad opportunities, or collaborative research projects with Indian and international universities and organisations. These experiences expose students to diverse cultures, perspectives, and engineering practices, fostering a global outlook and preparing them for success in a multicultural workforce.
Fees Structure
| SEM 1 | SEM 2 | SEM 3 | SEM 4 | SEM 5 | SEM 6 | SEM 7 | SEM 8 | TOTAL (Post Stipend Deduction) |
| 1,50,000 | 1,50,000 | 1,50,000 | 1,50,000 | 1,50,000 | 1,50,000 | 1,50,000 | 1,50,000 | 10.80L * |
Admission Confirmation Fees for all the courses- INR 26000 ( inclusive in the tuition fees)
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