B.Tech Quantum Computing Overview
Empower your future with intelligence integrated everywhere.
The B.Tech in Computer Science and Engineering with Specialisation in Quantum Computing is a future-focused undergraduate programme designed to prepare students for the next major revolution in computing technology.
The programme combines the strong foundations of classical computer science with emerging quantum concepts, enabling learners to understand, develop, and apply advanced computational models for solving complex real-world problems.
Our specially curated curriculum aligns with the core Computer Science and Engineering framework while introducing students to quantum technologies and equipping them with practical skills in quantum algorithms, programming, cryptography, machine learning, high-performance computing, and simulations.
At S-VYASA Global City Campus, students pursuing Quantum Computing benefit from an academic environment focused on emerging technologies, practical learning, and innovation. The programme provides opportunities to develop technical skills in quantum programming, simulation, cryptography, and advanced computing through hands-on projects and application-based learning.
The School of Engineering and Technology supports the programme through an interdisciplinary approach that brings together Computer Science, Mathematics, Physics, Artificial Intelligence, and Cybersecurity. This learning environment helps students build the technical and analytical skills required to work with quantum computing and other emerging computational technologies.
B.Tech Quantum Computing Eligibility
- Candidates must have passed 10+2 examination or equivalent from a recognized board.
- They should have studied Physics and Mathematics as compulsory subjects along with Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational Subject, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship.
- Minimum Marks Requirement:
- Candidates must have secured a minimum of 55% marks. OR
- Candidates who have passed a D.Voc. streams with a minimum of 55% marks in the same or allied sector are also eligible.
B.Tech Quantum Computing Program Highlights
Industry-Relevant Curriculum
The programme blends core Computer Science and Engineering subjects with specialised quantum computing concepts to help students stay aligned with emerging industry and research needs.
Strong Foundation in Quantum Technologies
Students gain conceptual and practical understanding of quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, and quantum simulation.
Hands-on Learning with Quantum Platforms
Learners are introduced to quantum programming environments and simulation tools and hybrid computing frameworks for practical experimentation.
Interdisciplinary Learning Approach
The curriculum integrates Computer Science, Physics, Mathematics, Artificial Intelligence, and Cybersecurity to build a holistic understanding of quantum-enabled technologies.
Advanced Lab and Research Exposure
Students receive exposure to simulation-based learning, computational labs, quantum-focused experiments, and research-driven problem-solving.
Focus on Innovation and Projects
The programme encourages students to participate in projects, hackathons, research activities, and innovation challenges related to quantum computing and emerging technologies.
B.Tech Quantum Computing Career Outcome
Quantum Software Developer:
Build intelligent quantum-based software solutions that solve complex problems beyond the limits of traditional computing.
Quantum Programmer:
Develop and test quantum programs using advanced tools, algorithms, and simulation platforms.
Quantum Application Developer:
Create practical quantum applications for industries such as cybersecurity, finance, healthcare, and artificial intelligence.
Quantum Simulation Engineer:
Design simulations that model quantum systems and support research in advanced computing and scientific innovation.
Quantum Algorithm Engineer:
Develop powerful quantum algorithms to solve high-level computational, optimization, and data processing challenges.
Quantum Computing Researcher:
Explore next-generation computing models and contribute to breakthroughs in quantum technologies and applied research.
Post-Quantum Security Specialist:
Protect digital systems by developing security solutions that can withstand future quantum-based cyber threats.
Quantum Cryptography Analyst:
Work on advanced encryption methods and secure communication systems powered by quantum principles.
Quantum Machine Learning Engineer:
Combine quantum computing and machine learning to build faster, smarter, and more efficient AI-driven solutions.
High-Performance Computing Engineer:
Manage advanced computing systems that support large-scale simulations, complex calculations, and research applications.
Scientific Computing Specialist:
Apply computational methods to solve real-world scientific, engineering, and technology-driven problems.
Research and Development Engineer:
Drive innovation by working on emerging technologies, prototypes, and future-ready quantum computing solutions.
At S-VYASA University, students gain access to a multidisciplinary learning ecosystem that encourages technical development, research, and innovation. The Quantum Computing programme enables learners to strengthen their foundations in computer science while exploring emerging technologies and their applications across industries.
Step into the future of computing with B.Tech in Computer Science and Engineering – Specialisation in Quantum Computing at S-VYASA Deemed to be University.
Build strong foundations in Computer Science, explore next-generation quantum technologies, and prepare for careers in one of the most transformative fields of the future.
FAQs on B.Tech Quantum Computing
This programme combines core Computer Science and Engineering with Quantum Computing concepts. Students learn quantum algorithms, programming, cryptography, machine learning, and simulations while building a strong foundation in emerging computing technologies.
Yes. Quantum Computing is an emerging field with growing applications in AI, cybersecurity, finance, healthcare, and scientific research. This programme prepares students with future-ready skills for evolving technology careers.
Graduates can explore opportunities in quantum software development, quantum programming, research, cybersecurity, AI, high-performance computing, and other technology-driven industries as quantum adoption continues to grow.
Salaries vary based on job role, employer, skills, and experience. Professionals with expertise in Quantum Computing and Computer Science often benefit from opportunities in research organisations, technology companies, startups, and advanced computing roles.
Graduates can pursue careers as Quantum Software Developers, Quantum Programmers, Quantum Algorithm Engineers, Quantum Machine Learning Engineers, Quantum Cryptography Analysts, High-Performance Computing Engineers, and Research Engineers.
The curriculum covers Computer Science fundamentals, quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, simulations, Artificial Intelligence, cybersecurity, mathematics, and high-performance computing.
A strong foundation in mathematics, programming, problem-solving, computer science, and logical thinking is valuable. This programme helps students develop these skills while introducing Quantum Computing concepts and applications.
Candidates who have completed 10+2 with Physics and Mathematics as compulsory subjects and secured at least 55% marks are eligible. Candidates with relevant D.Voc. qualifications meeting the eligibility criteria may also apply.
Yes. The programme provides knowledge of quantum programming, algorithms, and software development, preparing students for entry-level roles such as Quantum Software Developer and related positions in emerging technology domains.
Yes. As industries invest in next-generation computing, demand for professionals with Quantum Computing skills is expected to grow. Combined with a Computer Science foundation, this specialisation prepares graduates for future technology opportunities.
