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B.Tech Computer Science and Engineering with Specialisation in Cloud Computing

program-details

The B.Tech. in Computer Science and Engineering (Cloud Computing) is designed to equip students with the knowledge and skills required to develop, deploy, and manage applications on cloud platforms. The Programme focuses on cloud infrastructure, virtualization, distributed computing, containerization, cloud security, DevOps, and scalable application development. Students gain hands-on experience through modern tools such as AWS, Azure, Google Cloud Platform, Docker, Kubernetes, and cloud automation frameworks.

Industry Immersion

The Programme integrates strong industry exposure through:

  • Internships / Industry Training with leading IT companies and cloud service providers.
  • Live Projects and Capstone Projects in collaboration with industry partners.
  • Workshops and Masterclasses conducted by professionals from AWS, Microsoft Azure, and Google Cloud.
  • Hands-on Training using real cloud platforms and virtualization environments.
  • Industry Certifications Support, such as:
    1. AWS Cloud Practitioner
    2. Azure Fundamentals
    3. Google Cloud Associate Engineer
    4. VMware Certifications
    5. RedHat Certifications

eligibility criteria

Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together 
OR
Passed 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 prepare Level playing field and desired learning outcomes of the programme)

Admission criteria

Merit in Scholarship Test, subject to fulfilling eligibility criteria.

Duration

4 Years

fees

Details

Amount

Programme Fees (per Semester)

75000

Examination Fees

3000

International Programme Fees (per Year)

Not Applicable

Modes of Payment

Slab >=60% - 74.99% >=75% - 89.99% >=90% & Above
Fee ₹70000 ₹65000 ₹60000

Students can avail these slots depending on the marks they have scored. Each slot reflects a different academic range, helping students understand where they stand and what benefits they qualify for.

Programme Outcomes

  • Apply knowledge of mathematics, science, engineering fundamentals, and cloud computing principles to solve complex engineering problems.
  • Identify, review, and analyze cloud-related problems using research-based methods
  • Design solutions for modern cloud-based systems and scalable infrastructures.
  • Use research methods, data interpretation, and experimentation to analyze cloud systems.
  • Apply modern cloud technologies, virtualization tools, and engineering IT tools effectively.
  • Assess societal, legal, and security impacts of cloud technologies.

Programme Specific Outcomes

  • Ability to design, deploy, configure, and manage cloud infrastructures using platforms like AWS, Azure, and Google Cloud.
  • Demonstrate proficiency in virtualization, containerization, DevOps pipelines, CI/CD tools, and cloud automation frameworks.
  • Develop secure, scalable applications using serverless computing, microservices, and cloud-native architectures.

Salient Features

  • Curriculum aligned with industry needs in cloud computing and DevOps.
  • Hands-on training using AWS, Azure, Google Cloud, VMware, Docker, and Kubernetes.
  • Opportunity to earn industry-recognized cloud certifications.
  • Exposure to real-world cloud environments, datacenters, and virtualization labs.
  • Project-based learning, internships, and industry-led workshops.
  • Focus on cloud security, distributed computing, edge computing, and serverless technologies.
  • Access to advanced facilities like cloud labs, virtualization clusters, and DevOps labs.
  • Strong placement support through collaboration with leading IT and cloud companies.

How To Apply