B. Tech Computer Science & Technology (DevOps)

Duration
4 Years
Eligibility

Eligibility Norms for Admission to B. Tech Programs:

Passed 10+2 examination with Physics/ Mathematics Compulsory along with Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.



Eligibility Norms for Admission to B. Tech Programs (Lateral):

Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in relevant branch of Engineering and Technology as mentioned in the AICTE APH 2024-25.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)

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DevOps is a methodology that has evolved from the experience and best practices of managing the development, testing, and support processes in a software development project life cycle. These practices help organizations in managing the development, tools deployment, integrated testing, and assistance with increased productivity and speed. At the same time, they bring the critical elements of continuous integration and continuous deployment under the DevOps engineer’s exclusive responsibility.

B. Tech Computer Science & Technology (DevOps)

Programme Overview

DevOps is a methodology that has evolved from the experience and best practices of managing the development, testing, and support processes in a software development project life cycle. These practices help organizations in managing the development, tools deployment, integrated testing, and assistance with increased productivity and speed. At the same time, they bring the critical elements of continuous integration and continuous deployment under the DevOps engineer’s exclusive responsibility. 

Course Curriculum

  • 01Calculus and Differential Equations - MAT2301
  • 02English for Technical Communication - ENG1900
  • 03Optoelectronics and Quantum Physics - PHY2501
  • 04Optoelectronics and Quantum Physics Lab - PHY2504
  • 05Engineering Graphics - MEC1006
  • 06Digital Design - ECE2022
  • 07Digital Design Lab - ECE2052
  • 08Introduction to Design Thinking - DES1146
  • 09Computational Thinking using Python - CSE1500
  • 10Industry Readiness Program – I - PPS1025
  • 01Calculus and Differential Equations - MAT2301
  • 02English for Technical Communication - ENG1900
  • 03Chemistry of Smart Materials - CHE2501
  • 04Chemistry of Smart Materials Lab - CHE2502
  • 05Foundations of Integrated Engineering - CIV1200
  • 06Basics of Electrical and Electronics Engineering - EEE1200
  • 07Basics of Electrical and Electronics Engineering Lab - EEE1250
  • 08Indian Constitution - LAW7601
  • 09Computational Thinking using Python - CSE1500
  • 10Industry Readiness Program – I - PPS1025
  • 01Probability and Statistics - MAT2402
  • 02Advanced English - ENG2501
  • 03Chemistry of Smart Materials - CHE2501
  • 04Chemistry of Smart Materials Lab - CHE2502
  • 05Foundations of Integrated Engineering - CIV1200
  • 06Basics of Electrical and Electronics Engineering - EEE1200
  • 07Basics of Electrical and Electronics Engineering Lab - EEE1250
  • 08Indian Constitution - LAW7601
  • 09Problem Solving using C - CSE2000
  • 10Problem Solving using C Lab - CSE2001
  • 11Industry Readiness Program – II - PPS1026
  • 12Design Workshop - ECE1511
  • 13Environmental Studies - CHE7601
  • 01Probability and Statistics - MAT2402
  • 02Advanced English - ENG2501
  • 03Optoelectronics and Quantum Physics - PHY2501
  • 04Optoelectronics and Quantum Physics Lab - PHY2504
  • 05Engineering Graphics - MEC1006
  • 06Digital Design - ECE2022
  • 07Digital Design Lab - ECE2052
  • 08Introduction to Design Thinking - DES1146
  • 09Problem Solving using C - CSE2000
  • 10Problem Solving using C Lab - CSE2001
  • 11Industry Readiness Program – II - PPS1026
  • 12Design Workshop - ECE1511
  • 13Environmental Studies - CHE7601
  • 01Linear Algebra and Vector Calculus - MAT2303
  • 02Data Communication and Computer Networks - CSE2251
  • 03Data Communication and Computer Networks Lab - CSE2252
  • 04Data Structures - CSE2253
  • 05Data Structures Lab - CSE2254
  • 06Object Oriented Programming Using Java - CSE2255
  • 07Object Oriented Programming Using Java Lab - CSE2256
  • 08Computer Organization and Architecture - CSE2257
  • 09DevOps Foundations - CDV2000
  • 10Software Design and Development - CSE2071
  • 11Universal Human Values and Ethics - CIV7601
  • 12Introduction to Aptitude - APT4002
  • 01Discrete Mathematics - MAT2404
  • 02Web Technologies - CSE2258
  • 03Web Technologies Lab - CSE2259
  • 04Database Management Systems - CSE2260
  • 05Database Management Systems Lab - CSE2261
  • 06DevOps Tools Internals - CDV2501
  • 07DevOps Tools Internals Lab - CDV2502
  • 08Analysis of Algorithms - CSE2062
  • 09Analysis of Algorithms Lab - CSE2063
  • 10Essentials of AI - CSE2064
  • 11Essentials of AI Lab - CSE2065
  • 12Essentials of Finance - FIN1002
  • 13Aptitude Training – Intermediate - APT4004
  • 01Theory of Computation - CSE2066
  • 02Agile Structures and Frameworks - CDV2001
  • 03Operating Systems - CSE2069
  • 04Operating Systems Lab - CSE2070
  • 05Software Testing - CDV2503
  • 06Software Testing Lab - CDV2504
  • 07Professional Elective – I - CSEXXXX
  • 08Internship - CSE7000
  • 09Logical and Critical Thinking - APT4006
  • 01Continuous Integration and Continuous Delivery (CI/CD) Pipelines - CDV2508
  • 02Continuous Integration and Continuous Delivery (CI/CD) Pipelines Lab - CDV2509
  • 03Edge Computing and DevOps - CDV2510
  • 04Competitive Programming and Problem Solving - CSE2274
  • 05Professional Elective – II - CSEXXXX
  • 06Professional Elective – III - CSEXXXX
  • 07Open Elective – I - XXXXXXX
  • 08Aptitude for Employability - APT4005
  • 01Professional Elective – IV - CSEXXXX
  • 02Professional Elective – V - CSEXXXX
  • 03Professional Elective – VI - CSEXXXX
  • 04Open Elective – II - XXXXXXX
  • 05Preparedness for Interview - PPS3018
  • 06Mini Project - CSE7100
  • 01Capstone Project – CSE7300

Programme Educational Objectives

After four years of successful completion of the program, the graduates shall be:

PEO 01: Graduates will demonstrate their knowledge in science and engineering as problem solvers and researchers.

PEO 02: Graduates will exhibit skills in cutting-edge technologies to solve societal needs in multidisciplinary areas.

PEO 03: Graduates will develop an attitude towards lifelong learning and ethics to emerge as socially committed entrepreneurs.

PEO 04: Graduates will develop as a freelancing consultant to the computer science and technology-DevOps Industry.

Programme Outcomes (POs)

On successful completion of the Program, the students shall be able to:

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: Design/development of solutions: 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.

PO 4: Conduct investigations of complex problems: 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.

PO 5: Modern tool usage: 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.

PO 6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

PO 7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO 9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: 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.

PO 11: Project management and finance: Demonstrate knowledge 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.

PO 12: Life-long learning: 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.

Programme Specific Outcomes

On successful completion of the Program, the students shall be able to:

PSO 01: [Problem Analysis]: Identify, formulate, research literature, and analyse complex engineering problems related to software development & project management methodologies, Computing, DevOps tools and practices for substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PSO 02: [Design/development of Solutions]: Design solutions for complex engineering problems related to software development & project management methodologies, Computing, DevOps tools and practices 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.

PSO 03: [Modern Tool usage]: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities related to software development & project management methodologies.

Student handbook

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USP

  • Industry-Focused Curriculum covering CI/CD pipelines, cloud computing, containerization (Docker & Kubernetes), and automation tools.
  • State-of-the-Art DevOps Labs equipped with Jenkins, Ansible, Terraform, AWS, and other cutting-edge technologies.
  • Expert Faculty & Industry Mentorship providing hands-on training and real-world insights.
  • Hands-On Learning through live projects, hackathons, and real-time deployment scenarios.
  • Global Internship & Study Abroad Opportunities for international exposure and career advancement.
  • Strong Industry Collaborations with leading tech companies for internships, certifications, and research projects.
  • DevOps & Cloud Certifications including AWS, Azure, Google Cloud, and Kubernetes for enhanced employability.
  • Excellent Placement Records with top recruiters in cloud computing, automation, and DevOps engineering.

Career Opportunities

  • Core DevOps Roles

    DevOps Engineer: Design and implement CI/CD pipelines, automate deployment processes, and manage cloud infrastructure.

    Site Reliability Engineer (SRE): Ensure reliability, performance, and uptime through software-driven monitoring, incident response, and capacity planning.

    Cloud Engineer: Build and maintain cloud-based systems and infrastructure for scalable applications.

    Build and Release Engineer: Manage source code, automate builds, and oversee version control systems.

    Infrastructure Automation Specialist: Automate IT operations and infrastructure provisioning using Infrastructure as Code (IaC) principles.

  • Industry-Specific Roles

    DevOps Consultant: Provide organizations with strategies to adopt DevOps practices and optimize workflows.

    Cloud DevOps Specialist: Implement and manage DevOps for cloud-native apps, focusing on hybrid cloud and microservices.

    Containerization Expert: Specialize in managing containerized environments for software development and deployment using tools like Docker and Kubernetes.

    Monitoring and Logging Engineer: Develop and maintain monitoring solutions for application and infrastructure performance using tools like Prometheus, Grafana, and ELK Stack.

    Cybersecurity Analyst (DevOps Focus): Secure DevOps pipelines and cloud infrastructure by implementing DevSecOps practices using tools like HashiCorp Vault, SonarQube, and Aqua Security.

  • Emerging and Specialized Roles

    AI Ops Specialist: Use AI/ML tools to automate and optimize DevOps workflows and incident management with tools like Datadog, Moogsoft, and Splunk.

    Serverless Architect: Design and deploy serverless applications for cost-efficiency and scalability using platforms like AWS Lambda and Azure Functions.

    Microservices Developer: Design and deploy microservices architectures within DevOps frameworks using tools like Spring Boot, Istio, and Envoy.

    IoT DevOps Engineer: Manage the integration, deployment, and monitoring of IoT solutions with DevOps practices.

  • Academic and Research Roles

    DevOps Research Scientist: Investigate advanced DevOps methodologies, automation tools, and AI/ML integration.

    Lecturer/Professor in DevOps: Teach DevOps technologies and methodologies in universities or technical institutes.

  • Entrepreneurship

    Startup Founder (DevOps Focus): Launch DevOps-centric startups offering services like cloud consulting, automation solutions, or SaaS products.

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