B.Tech in Computer Science and Engineering Specialisation in Quantum Computing
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.
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.
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.
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.
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.
