Programs
B.Tech AIML with Quantum Technologies, offered in collaboration with TCS iON at S-VYASA Deemed to be University, Global City Campus, is a forward-looking programme designed to prepare graduates not just as degree holders, but as industry-ready professionals equipped for the future of intelligent technologies.
With the support of TCS iON and an industry-led curriculum, students gain exposure to hands-on projects, real-world industry case studies, mentorship from technology experts, global certifications in AI, Data Science, Cloud Computing, and emerging technologies, along with foundational knowledge of Quantum Computing and its applications.
The programme curriculum includes emerging technologies and future-ready skills aligned with the evolving demands of the technology industry. Students will learn to build intelligent applications using Machine Learning and Deep Learning, develop AI-driven solutions for real-world industry problems, work with data analytics, cloud platforms, and automation tools, and design systems that support smart decision-making and digital transformation.
The programme integrates academic learning through the university, technology learning through IBM, and industry honour courses delivered by SMEs through the TCS iON LMS. These powerful learning dimensions ensure that students gain academic knowledge, industry expertise, and real-world technology exposure.
The programme uniquely combines Artificial Intelligence and Machine Learning with Quantum Technologies and Quantum Computing. This prepares students for next-generation computing, where quantum systems are expected to accelerate AI capabilities.
To ensure transparent and technology-driven learning evaluation, students learn through a modern Learning Management System powered by TCS iON. This enables interactive digital learning, technology labs and simulations, continuous assessments, and online proctored examinations.
The programme ensures accurate measurement of student competency and learning outcomes through the TCS iON digital learning ecosystem. Students undergo continuous assessments, online proctored examinations, and skill milestone evaluations.
Students graduate with a B.Tech degree, industry honour course certifications, a technology project portfolio, and industry exposure to AI and Quantum Technologies. This creates multi-layered credentials that improve employability and career readiness.
Design, develop, and implement intelligent applications using machine learning, deep learning, and AI frameworks to solve real-world technology challenges.
Build, train, and optimise machine learning models that enable systems to learn from data, predict outcomes, and support intelligent automation.
Work with the fundamentals of quantum computing, quantum algorithms, and emerging quantum technologies to support next-generation computing solutions.
Analyse complex datasets, identify patterns, build predictive models, and transform raw data into actionable insights for business and technology applications.
Design AI-driven systems and intelligent digital solutions that integrate data, automation, cloud platforms, and decision-making technologies.
Develop and deploy AI and machine learning solutions on cloud platforms, enabling scalable, secure, and efficient intelligent applications.
Create smart automation systems using AI, data analytics, and digital tools to improve operational efficiency and support business transformation.
Contribute to cutting-edge research in AI, Machine Learning, Quantum Computing, and emerging technologies, supporting innovation across academic, industrial, and technology-driven projects.
Quantum Computing is emerging as one of the most powerful technology fields of the future, with the ability to solve complex problems that traditional computers cannot handle efficiently.
By choosing B.Tech AIML with Quantum Technologies at S-VYASA Deemed to be University, students gain the opportunity to build strong foundations in Artificial Intelligence, Machine Learning, Data Science, and Quantum Computing. The programme prepares them with future-ready skills, industry exposure, and practical learning experiences that can help them pursue promising careers in next-generation technology domains.