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M.Tech Computer Science & Engineering (Cloud Computing Specialization)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)
Indian Institute of Information Technology Dharwad (IIIT Dharwad)
Duration

2 Years

Type

PG

Mode

Online

₹3,54,000

Total Program Fees

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Program Overview

The M.Tech in Computer Science & Engineering with a specialisation in Cloud Computing is a two-year postgraduate programme designed for working professionals seeking advanced expertise in cloud technologies. The programme integrates cloud architecture, distributed systems, virtualisation, DevOps, security, big data and edge computing with research-oriented and project-based learning.

Program Highlights

Earn an M.Tech in Computer Science & Engineering with a specialisation in Cloud Computing from IIIT Dharwad.
Build advanced capabilities across cloud architecture, virtualisation, containerisation, DevOps, distributed systems and cloud security.
Gain practical exposure through cloud deployment labs, simulations, research assignments and a comprehensive capstone project.
Work with industry-relevant platforms and tools such as AWS, Microsoft Azure, Docker, Kubernetes, Terraform and Apache Spark.
Participate in structured campus immersions featuring faculty interaction, peer learning, hands-on sessions and exposure to IIIT Dharwad’s academic ecosystem.

Curriculum

Semester I
  • Applied Mathematics for Computer Science
  • Unit 1: Linear Algebra
  • Unit 2: Optimization
  • Unit 3: Probability and Stochastic Process
  • Advanced Data Structures and Algorithms
  • Unit 1: Growth Functions
  • Unit 2: Trees
  • Unit 3: Graph Algorithms
  • Unit 4: Algorithm Design Strategies
  • Unit 5: Complexity Classes
  • Programming Paradigms Lab
  • Unit 1: Procedural Programming
  • Unit 2: Object-Oriented Programming
  • Unit 3: Functional Programming
  • Unit 4: Concurrent and Parallel Execution
  • Unit 5: Declarative and Logic Programming
  • Unit 6: Scripting and Automation
  • Introduction to AI/ML
  • Unit 1: Introduction to AI
  • Unit 2: Problem Solving Using Search
  • Unit 3: Knowledge Representation
  • Unit 4: Introduction to Machine Learning
  • Unit 5: Supervised Learning
  • Unit 6: Unsupervised Learning
  • Introduction to Cybersecurity
  • Unit 1: Introduction to Cybersecurity
  • Unit 2: Identity and Access Management
  • Unit 3: Standards and Regulations
  • Introduction to Cloud Computing
  • Unit 1: Introduction to Cloud Computing
  • Unit 2: Cloud Service Models and Deployment Models
  • Introduction to Research
  • Unit 1: Introduction
  • Unit 2: Literature Review
  • Unit 3: Research Exploration
  • Unit 4: Patenting and Publications
  • Unit 5: Presentation
  • Report and Thesis Writing
  • Unit 6: Conclusions and Future Scope
  • Unit 7: Principles and Ethics in Research
  • Project 1
Semester II
  • Advanced Computing Lab
  • Unit 1: Advanced Programming and Performance Engineering
  • Unit 2: Parallel Computing Platforms
  • Unit 3: Distributed Computing Frameworks
  • Unit 4: GPU and Accelerated Computing
  • Unit 5: Cloud and Container-Based Computing
  • Unit 6: AI/ML Pipeline Engineering
  • Literature Review and Seminar
  • Electives (1/2/3/4 credits)
  • Project-II
Semester III
  • Project-III
  • Electives (1/2/3/4 credits)
Semester IV
  • Project-IV
  • Electives (1/2/3 credits)
Cloud Computing Specializations
  • Introduction to Cloud Computing
  • Unit 1: Introduction to Cloud Computing
  • Unit 2: Cloud Service Models and Deployment Models
  • Distributed and Parallel Systems
  • Unit 1: Introduction and System Models
  • Unit 2: Communication and Coordination
  • Unit 3: Synchronisation and Distributed Algorithms
  • Unit 4: Consistency
  • Replication and Fault Tolerance
  • Unit 5: Parallel Programming and Performance
  • Security in Cloud Computing
  • Unit 1: Introduction to Cloud Security
  • Unit 2: Identity
  • Access and Trust Management
  • Unit 3: Data Security and Privacy in Cloud
  • Unit 4: Infrastructure
  • Virtualisation and Container Security
  • Unit 5: Compliance
  • Risk and Emerging Trends
  • High-Performance Computer Architecture
  • Unit 1: Performance Fundamentals
  • Unit 2: Pipelining and Instruction-Level Parallelism
  • Unit 3: Memory Hierarchy and Cache Optimisation
  • Unit 4: Multicore Architectures and Memory Consistency
  • Site Reliability Engineering in Cloud Computing
  • Unit 1: Introduction to SRE and Cloud Operations
  • Unit 2: Reliability Metrics and Error Budgets
  • Unit 3: Designing Reliable Cloud Systems
  • Unit 4: Observability and Incident Management
  • Unit 5: Automation
  • Toil Reduction and Case Studies
  • Big Data Systems
  • Unit 1: Introduction to Big Data Systems
  • Unit 2: Distributed Storage Systems
  • Unit 3: Batch Data Processing Frameworks
  • Unit 4: Stream Processing and Real-Time Analytics
  • Unit 5: Advanced Topics and System Optimisation
  • Edge AI
  • Unit 1: Introduction to Edge AI
  • Unit 2: AI Models for Edge Devices
  • Unit 3: Model Optimisation and Acceleration
  • Unit 4: Edge–Cloud Collaboration and Systems
  • Unit 5: Applications
  • Platforms and Emerging Trends

Learning Outcomes

1
Design and deploy secure, scalable and cost-effective cloud architectures for diverse organisational requirements.
2
Apply DevOps practices, CI/CD pipelines, container orchestration and automation to streamline software delivery.
3
Integrate identity management, encryption, governance and compliance frameworks into cloud environments.
4
Optimise cloud infrastructure for performance, reliability, availability and cost efficiency.
5
Develop innovative cloud-native solutions using serverless computing, edge technologies and hybrid cloud systems.

Eligibility Criteria

Educational Qualification : Any Graduate with a background in B.Tech / B.E., M.Sc., or M.C.A.
Academic Performance:
General / OBC category
Minimum CGPA/CPI: 6.5 on a 10-point scale, or Minimum aggregate percentage: 60%.
SC / ST / PwD category
Minimum CGPA/CPI: 6.0 on a 10-point scale, or Minimum aggregate percentage: 55%.

Fees & Financing

Program Fee

Year 1

₹1,77,000

Year 2

₹1,77,000

Yearly Sum

Year 1

₹1,77,000

Year 2

₹1,77,000

Total Program Fees

2 years · all components included

₹3,54,000

💰 EMI Options Available

Starting from ₹14,750/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute of Information Technology Dharwad (IIIT Dharwad)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)

IIIT Dharwad is an Institute of National Importance known for technology education research and industry collaboration. Located in the Hubballi-Dharwad innovation hub it promotes interdisciplinary learning creativity and responsible innovation. The institute develops globally competent technology professionals equipped to address evolving societal and digital challenges.

View University Profile

Frequently Asked Questions

Why should I choose the Cloud Computing specialization at IIIT Dharwad?
The M.Tech in Cloud Computing at IIIT Dharwad focuses on building expertise in designing, deploying, and managing scalable and secure cloud systems. The program emphasizes hands-on projects, practical cloud architectures, and exposure to global best practices, preparing graduates to lead cloud-driven initiatives in enterprises and startups.
How is this program different from traditional cloud courses?
Unlike typical certification courses, this M.Tech CSE in Cloud Computing combines a research-oriented approach, hands-on labs, and real-world projects. Students also experience a 7-day on-campus immersion, interact with faculty and industry leaders, and work on capstone projects that simulate enterprise-scale cloud challenges.
Who can benefit from this program?
This program is ideal for IT professionals and software engineers seeking advanced cloud expertise, DevOps and infrastructure engineers aiming for leadership roles, graduates aspiring to pursue research or R&D in cloud-native architectures, and professionals wanting to drive cloud adoption, automation, and scalable solutions in organizations.
Do I need prior cloud experience or certifications to apply?
No prior cloud certifications are required. Applicants should have a B.E./B.Tech in Computer Science, IT, or related disciplines. Relevant professional experience in IT, software development, or systems administration is recommended but not mandatory.
How does project-based learning enhance my skills?
The capstone project allows students to apply theoretical knowledge to real-world cloud challenges, including designing scalable architectures, implementing secure systems, and optimizing cloud resources, preparing them to tackle enterprise-level problems.

Program Details

Duration 2 Years
Mode Online
Fees ₹3,54,000

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