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COURSE OVERVIEW

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B. Tech in Computer Science & Engineering with a specialization in Cloud Computing typically span of four years program and is designed to provide students with a comprehensive understanding of Computer Science and Engineering principles with a specific focus on Cloud Computing Technologies. Blending theoretical foundations with hands-on training, the program emphasizes real-world applications of cloud computing in diverse industries. It places a strong focus on programming, statistics, big data technologies, and domain-specific analytics, preparing students for careers in the evolving field of cloud-based solutions and services.


Program Objectives

  • Provide a strong foundation in computer science and engineering principles.
  • Develop specialized knowledge in cloud computing technologies and architectures.
  • Equip students with hands-on skills using leading cloud platforms.
  • Foster problem-solving using big data and analytics in cloud environments.
  • Prepare students for careers in industry, research, and entrepreneurship.

PROGRAM HIGHLIGHTS

Industry-Aligned Curriculum with focus on cloud platforms like Google Cloud.
Hands-on Training through labs, projects, and internships in real-world cloud environments.
Focus on Emerging Technologies such as Big Data, DevOps, IoT, and AI in the cloud.
Collaboration with Industry Partners for certifications, workshops, and placement support.
Capstone Projects & Hackathons to foster innovation and practical problem-solving skills.
Career Readiness Programs including soft skills, technical interview prep, and resume building.
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Programme Curriculum

  • Course CodeCourse NameLTPCreditsHours/week
    BTGT1701Engineering Physics31044
    BTGT1702Engineering Mathematics31044
    BTGT1801Problem Solving and Programming with C31044
    BTGT1101Communicative English30033
    BTGT1201University Elective I30033
    BTGL1701Engineering Physics Lab0031.53
    BTGL1801Problem Solving and Programming with C Lab0031.53
    Other Activities (e.g. IT Workshop, Mentoring, etc.) — Non-credit, 11 hours/week
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT1703Probability & Statistics31044
    BTGT1802Basic Electrical and Electronics Engineering31044
    BTGT1301Data Structures31044
    BTGT1302Python Programming31044
    BTGT1102Environmental Studies30003
    BTGT1202University Elective II30033
    BTGL1802Basic Electrical and Electronics Engineering Lab00212
    BTGL1301Data Structures Lab00212
    BTGL1302Python Programming Lab00212
    Other Activities (e.g. Mentoring, Physical Activity, etc.) — Non-credit, 9 hours/week
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT2701Discrete Mathematics and Graph Theory31044
    BTGT2301Design and Analysis of Algorithms31044
    BTGT2302Object Oriented Programming through Java30033
    BTGT2801Digital Logic Design30033
    University Core – III30033
    University Elective – III30033
    BTGT2303Constitution of India30003
    BTGL2301Java Programming Lab00212
    BTGL2801Digital Logic Design Lab00212
    Other Activities (Mentoring, Soft Skills, etc.) — Non-credit, 10 hours/week
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT2702Cloud Computing Foundations31044
    BTGT2901Management for Engineers30033
    BTGT2501Computer Networks30033
    BTGT2304Database Management Systems31044
    BTGT2305Operating Systems31044
    BTGT2307Computer Organization and Architecture31044
    BTGT2306Universal Human Values30003
    BTGL2302DBMS Lab00212
    BTGL2501Cloud Foundations Lab00212
    Other Activities (Mentoring, Aptitude, Internship prep, etc.) — Non-credit, 7 hours/week
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT3501Automata and Compiler Design30033
    BTGT3301Full Stack Web Development30033
    BTGT3502Cloud Data Analytics30033
    BTGT3401Faculty Elective I30033
    BTGT3601Program Elective I30033
    BTGM3501MOOC – I00030
    BTGT3302Entrepreneurship & Startup Mgmt.30000
    BTGL3301Full Stack Web Dev Lab00212
    BTGL3501Cloud Data Analytics Lab00212
    BTGI3501Internship – I Evaluation00424
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT3303Big Data Analytics31044
    BTGT3503Cloud Management and DevOps30033
    BTGT3402Faculty Elective II30033
    BTGT3602Program Elective II30033
    BTGT3603Program Elective III30033
    BTGM3502MOOC – II00030
    BTGL3502Big Data Analytics Lab00212
    BTGL3503DevOps Lab00212
    Internship-II Evaluation in VII Sem
  • Course CodeCourse NameLTPCreditsHours/week
    BTGT4501Multi Cloud and Generative AI30033
    BTGT4502Internet of Things30033
    BTGT4601Program Elective IV30033
    BTGT4602Program Elective V30033
    BTGM4501MOOC – III00030
    BTGP4301Mini Project00212
    BTGL4501Generative AI Lab00212
    BTGL4502IoT Lab00212
    BTGI4501Internship – II Evaluation00424
  • Course CodeCourse NameLTPCreditsHours/week
    BTGP4502Project Work00241224
    BTGV4501Comprehensive Viva-Voce00212

PROGRAM FEE AND SCHOLARSHIPS

One-Time FeeAdmission Fee₹ 7,000
1st YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
2nd YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
3rd YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
4th YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
Total Course Fee₹ 10,59,000

Scholarship is available for eligible students

Eligibility

Candidates must secure 50% in Physics, Chemistry and Mathematics of Intermediate or in the diploma course or must have appeared for Class 12 or equivalent examination with Physics, Chemistry, and Mathematics as major subjects from any recognized board. Candidates who have completed or qualified the final year of diploma in engineering courses are also eligible Candidates must not exceed the age of 24 years and the minimum age for applying is 17 years as on 31st December of Calendar Year.

EMPLOYABILITY AREAS

Graduates of the B. Tech in CSE (Cloud Computing) program can explore careers in:

Students of Btech CSE
  • Cloud Solution Architecture
  • Cloud Infrastructure Management
  • DevOps Engineering
  • Cloud Security & Compliance
  • Big Data & Analytics
  • Software Development & Deployment
  • AI/ML on Cloud Platforms
  • IoT and Edge Computing
  • IT Consulting & System Integration
  • Technical Support & Cloud Operations