B.Tech. in Computer Science and Engineering With Specialization in Quantum Computing

Duration4 Years

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Course Fee12.9 Lakhs

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B.Tech. in Computer Science and Engineering With Specialization in Quantum Computing

10+2 or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Computer Science (IT). At least 50% marks in the above three subjects taken together.

The Candidate must have passed English as a subject in 10+2 Examination. Merit in University Entrance Exam (Q-CARE), IITJEE (Mains), State Level Entrance Exams shall be given preference. In addition, candidates will have to successfully complete Goenka Aptitude Test for Admission (GATA) and appear for a personal interview.

 

Program Specialisation

Key Highlights

  • Designed in alignment with the National Quantum Mission and Global Quantum Computing Initiatives.
  • In-depth learning of quantum computing, quantum algorithms, and quantum security.
  • Growing global demand for a skilled quantum workforce to drive research, innovation, and industry adoption.
  • Hands-on exposure on quantum programming tools and simulators.
  • Industry-aligned curriculum focused on Quantum Computing.
  • Opportunities for innovation and project-based learning.

Innovation Opportunities

Explore cutting-edge innovation through hands-on projects in quantum algorithms, cryptography, and next-generation computing, enabling the development of solutions to problems beyond the reach of classical systems.

Program Specific Outcomes (PSO)
PSO 01

Apply core computer science and quantum computing principles to solve complex problems.

PSO 02

Design and implement quantum algorithms using modern technologies and tools.

PSO 03

Innovate and adapt to emerging quantum technologies through research and continuous learning.

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Programme Outcomes (PO)

To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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To design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

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To use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

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To create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

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To apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

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To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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TTo communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

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To demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

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To recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

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Curriculum Details

Course Code Course Title L T P Credits
MAT1720 Matrix Methods and Linear Algebra 3 1 0 4
COM1515 Modern English Language 0 0 4 2
PHY1009/PHY1009L Elements of Modern Physics/Elements of Modern Physics Lab 3 0 2 4
CSE1008/ CSE1008L Programming and Problem Solving using C/ Programming and Problem Solving using C Lab 3 0 2 4
EGV1001 Engineering Visualization and Project Realization 0 0 4 2
VAC001 Design Thinking 2 0 0 2
EGR1501 Induction Program 0 0 0 0
Total Credits 18

Course Code Course Title L T P Credits
MAT1120/MAT1120L Probability and Statistics using Python/Probability and Statistics using Python Lab 3 0 2 4
PHY1008/PHY1008L Quantum Mechanics/Quantum Mechanics Lab 3 0 2 4
ELE1001/ELE1001L Fundamentals of Electrical and Electronics Engineering/ Fundamentals of Electrical and Electronics Engineering Lab 3 0 2 4
CSE1009/CSE1009L Data Structures /Data Structures Lab 3 0 2 4
COM1521 Communication Skills and Ability Enhancement 0 0 4 2
LAW3710 Constitution of India 3 0 0 0
CSI1301 Basics of AI and its real world Applications 2 0 0 2
VAC004 Introduction to Indian Knowledge System 2 0 0 2
Total Credits 22

Course Code Course Title L T P Credits
MAT1723/MAT1723L Discrete Mathematics using Python/ Discrete Mathematics using Python Lab 3 0 2 4
CSE2036/CSE2036L Programming using Java/Programming using Java Lab 3 0 2 4
ELX2705 Digital Logic Design 2 0 0 2
COM2521 Academic Writing 0 0 4 2
CSE2034/CSE2034L Introduction to Design and Analysis of Algorithms/ Introduction to Design and Analysis of Algorithms Lab 3 0 2 4
UHV2701 Universal Human Values 3 0 0 3
IDP2501/IDP2502 Developing a Business Model/Research & Design 0 1 4 3
Total Credits 22

Course Code Course Title L T P Credits
CSE3009/CSE3009L Operating Systems and its applications / Operating Systems and its applications Lab 2 0 2 3
CSE2711 Computer Organization and Architecture 3 1 0 4
CSE2037/CSE2037L Basics of Data Communication and Computer Networks/ Basics of Data Communication and Computer Networks Lab 3 0 2 4
CSE2713 Formal Langauge and Automata Theory 3 1 0 4
CSE2038/CSE2038L Introduction to Software Engineering/ Introduction to Software Engineering Lab 3 0 2 4
COM2525 Work Place Communication 0 0 4 2
IDP2503/IDP2504 Translating Business Model/ Data Analysis & Publication 0 1 4 3
VAC003 Environmental Studies 2 0 0 2
Total Credits 26

Course Code Course Title L T P Credits
CSE3022/CSE3022L DBMS with NoSQL/DBMS with NoSQL Lab 3 0 2 4
CSE3023/CSE3023L Cryptography and Network Security/ Cryptography and Network Security Lab 2 0 2 3
ELX3008/ELX3008L Microprocessor and Microcontrollers/ Microprocessor and Microcontrollers Lab 2 0 2 3
Professional Elective-I 3 1 0 4
CSE3708 Basics of Compiler Design 3 1 0 4
CSE2039/CSE2039L Artificial Intelligence and its Applications/Artificial Intelligence and its Applications Lab 3 0 2 4
Total Credits 22

Course Code Course Title L T P Credits
CSE3013/CSE3013L Web Application Development/Web Application Development Lab 3 0 2 4
Professional Elective-II 3 1 0 4
Professional Elective-III 3 0 2 4
Open Elective-I 3 0 0 3
CSE2016/CSE2016L Embedded Systems/Embedded Systems Lab 3 0 2 4
Total Credits 19

Course Code Course Title L T P Credits
CSE4004/CSE4004L Cloud Computing/Cloud Computing Lab 3 0 2 4
CSE2501 Internet of Things 3 0 0 3
Professional Elective-IV 3 0 2 4
Open Elective II 3 0 0 3
EGR4501 Project Phase-I 0 0 0 4
EGR4502 Summer Internship 0 0 0 2
Total Credits 20

Course Code Course Title L T P Credits
Professional Elective-V 3 0 2 4
Open Elective III 3 0 0 3
EGR4503 Project Phase-II 0 0 0 10
Total Credits 17

Specialisation Quantum Computing
Course Code Course Title L T P Credits
PQT2701 Foundations of Quantum Technologies 3 0 0 3
PQT2002 Quantum Computing Essentials 2 0 2 3
PQT3001 Quantum Algorithms and Programming 3 0 2 4
PQT3002 Quantum Communication and Cryptography 3 0 2 4
PQT3003 Quantum Machine Learning 3 0 2 4
Total Credits 18
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Career Path

career-path

Graduates can pursue roles in the rapidly growing field of quantum computing. Students may work as Quantum Hardware Engineers, Quantum Software Developers, Quantum Cloud Engineers, or Quantum Compiler Engineers, contributing to the development of advanced quantum technologies and applications. They can also explore opportunities in areas such as quantum simulation, quantum machine learning, and optimization to address complex real-world problems across various industries. In addition, graduates may choose to pursue higher studies or entrepreneurial ventures.

Fee Structure

Yearly
1st Year 2nd Year 3rd Year 4th Year
₹3,60,000 ₹3,10,000 ₹3,10,000 ₹3,10,000
Semester Wise
1st Sem 2nd Sem 3rd Sem 4th Sem 5th Sem 6th Sem 7th Sem 8th Sem
₹2,05,000 ₹1,55,000 ₹1,55,000 ₹1,55,000 ₹1,55,000 ₹1,55,000 ₹1,55,000 ₹1,55,000
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