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M-TECH in Cloud Computing at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Cloud Computing at SRM Institute of Science and Technology Chengalpattu?
This M.Tech Cloud Computing program at SRM Institute of Science and Technology focuses on modern cloud infrastructure, services, and deployment models. It addresses the rapidly growing demand for skilled cloud professionals in India''''s digital transformation journey, emphasizing practical skills in architecture, security, and big data on cloud platforms. The program aims to create industry-ready cloud architects and engineers.
Who Should Apply?
This program is ideal for engineering graduates (CSE, IT, ECE) and MCA/M.Sc (CS/IT) holders seeking advanced expertise in cloud technologies. It caters to fresh graduates aspiring for entry into the cloud domain and working professionals looking to upskill in areas like DevOps, cloud security, and big data analytics, enhancing their career trajectories in the Indian IT sector.
Why Choose This Course?
Graduates of this program can expect promising career paths as Cloud Architects, DevOps Engineers, Cloud Security Analysts, or Big Data on Cloud Specialists in leading Indian and global companies. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly higher. The curriculum aligns with certifications from AWS, Azure, and GCP, boosting career growth.
Student Success Practices
Foundation Stage
Master Core Cloud and Networking Fundamentals- (Semester 1-2)
Dedicate significant time to understanding core concepts of cloud computing (virtualization, service models) and advanced computer networks. Utilize online courses from Coursera/edX (e.g., Google Cloud Fundamentals, AWS Cloud Practitioner Essentials) and practice with network simulators.
Tools & Resources
AWS Free Tier, Azure Free Account, Google Cloud Free Tier, Cisco Packet Tracer, Wireshark, Coursera, edX
Career Connection
Strong fundamentals are critical for passing entry-level cloud certifications and acing technical interviews for roles like Cloud Support Associate or Junior Cloud Engineer.
Build Hands-on Lab Expertise- (Semester 1-2)
Actively participate in all lab sessions for Advanced Data Structures, Cloud Computing, Big Data, and DevOps. Go beyond assignments by exploring additional features, deploying different services, and troubleshooting common issues on cloud platforms. Document your learning and experiments.
Tools & Resources
Official cloud provider documentation (AWS, Azure, GCP), GitHub for code versioning, Cloud sandboxes/development environments
Career Connection
Practical experience is highly valued. Demonstrating proficiency in deploying and managing cloud resources directly impacts project opportunities and job readiness.
Engage in Technical Seminars and Peer Learning- (Semester 1-2)
Utilize the technical seminar to research emerging cloud trends, present findings, and improve public speaking. Form study groups with peers to discuss complex topics, solve problems collaboratively, and share knowledge. Attend department workshops and tech talks.
Tools & Resources
IEEE Xplore, ACM Digital Library, Department seminar series, Microsoft Teams, Discord
Career Connection
Enhances communication skills, research abilities, and fosters a collaborative mindset, all crucial for team-based engineering roles in the cloud industry.
Intermediate Stage
Deep Dive into Cloud Architecture & DevOps Practices- (Semester 3)
Focus on advanced cloud architectures, microservices, serverless computing, and robust DevOps principles. Get certified in a specific cloud platform (e.g., AWS Solutions Architect Associate, Azure Developer Associate) and contribute to open-source projects related to cloud automation or infrastructure as code.
Tools & Resources
Terraform, Ansible, Kubernetes, Docker, Jenkins, Official cloud certification study guides
Career Connection
Specialization in architecture and DevOps is highly sought after, leading to roles like Cloud Architect, Site Reliability Engineer, or Senior DevOps Engineer. Certifications validate expertise for employers.
Undertake Industry-Relevant Projects- (Semester 3)
Actively engage in Project Phase I by choosing a problem with real-world application, ideally in collaboration with an industry mentor or solving an existing challenge. Focus on implementing scalable, secure, and cost-effective cloud solutions.
Tools & Resources
GitHub for project collaboration, Jira/Trello for project management, Cloud provider services for deployment, Research papers
Career Connection
A strong project portfolio demonstrates problem-solving skills, practical implementation capability, and understanding of industry needs, crucial for interviews and portfolio showcasing.
Network with Industry Professionals- (Semester 3)
Attend webinars, conferences, and industry meetups related to cloud computing and DevOps (e.g., AWS Summit, Google Cloud Next India, local tech meetups). Connect with professionals on LinkedIn, seek mentorship, and understand current industry trends and hiring needs.
Tools & Resources
LinkedIn, Eventbrite, Industry-specific forums and communities, SRMIST alumni network
Career Connection
Networking opens doors to internship opportunities, valuable career advice, and potential job referrals, expanding professional horizons in the competitive Indian job market.
Advanced Stage
Execute a Capstone Cloud Project- (Semester 4)
For Project Phase II, develop a comprehensive, production-ready cloud solution. Document all phases meticulously, including design choices, implementation details, testing strategies, and deployment mechanisms. Aim for a solution that solves a complex problem and demonstrates deep expertise.
Tools & Resources
Advanced cloud services (e.g., serverless functions, AI/ML), CI/CD pipelines, Security best practices, Technical writing tools (LaTeX)
Career Connection
This capstone project serves as a cornerstone of your resume, showcasing your ability to deliver end-to-end cloud solutions and often directly leading to job offers or entrepreneurial ventures.
Intensive Placement Preparation- (Semester 4)
Engage in mock interviews, aptitude test practice, and resume building workshops offered by the college''''s placement cell. Focus on behavioral questions, technical rounds covering core cloud concepts, data structures, algorithms, and system design, along with soft skills development.
Tools & Resources
Placement cell resources, Online coding platforms (LeetCode, HackerRank), Interview prep books, Communication skill development workshops
Career Connection
This focused preparation is crucial for securing coveted positions in top-tier cloud companies and IT service providers during campus placements, ensuring a smooth transition into the professional world.
Continuous Learning and Specialization- (Semester 4 and beyond)
Even during the final semester, keep abreast of the latest advancements in cloud computing, such as quantum cloud, serverless advancements, or new security paradigms. Consider pursuing niche specializations or advanced certifications that align with your career goals.
Tools & Resources
Industry blogs, Research journals, Advanced cloud documentation, Specialized certification programs (e.g., AWS Specialty, Kubernetes Certified)
Career Connection
The cloud industry evolves rapidly. Continuous learning ensures long-term career growth, relevance, and opportunities for leadership roles in emerging cloud technologies.
Program Structure and Curriculum
Eligibility:
- B.E/ B.Tech in CSE/IT/Software Engineering/EEE/ECE/EIE/ICE/CSBS/CS and Applications/AI/AI and Data Science/IoT/ICT or equivalent; or M.Sc in CS/IT/Data Science/Computer Technology/Software Engineering/AI and ML/AI and DS/Cloud Computing; or MCA. Minimum 60% or 6.5 CGPA in qualifying degree. Final year students are eligible to apply.
Duration: 2 years / 4 semesters
Credits: 72 Credits
Assessment: Internal: 40% (Theory), 60% (Practical), External: 60% (Theory), 40% (Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CCT21101 | Advanced Data Structures and Algorithms | Core | 3 | Algorithmic analysis, Advanced data structures (trees, graphs, heaps), Hashing techniques, Graph Algorithms, Dynamic Programming |
| CCT21102 | Cloud Computing Concepts and Architecture | Core | 3 | Cloud characteristics, Service models (IaaS, PaaS, SaaS), Deployment models, Virtualization technologies, Cloud architecture design |
| CCT21103 | Advanced Computer Networks | Core | 3 | Network architectures, TCP/IP protocol suite, Routing and congestion control, Wireless and mobile networks, Network security principles |
| CCT21104 | Research Methodology and IPR | Core | 3 | Research design and methods, Data collection and analysis, Technical report writing, Intellectual Property Rights (IPR), Patents and copyrights |
| CCT21105 | Advanced Data Structures and Algorithms Lab | Lab | 2 | Implementation of trees and graphs, Dynamic programming solutions, Hashing and sorting algorithms, Algorithm efficiency analysis, Problem-solving using data structures |
| CCT21106 | Cloud Computing Lab | Lab | 2 | Virtual machine provisioning, Cloud service deployment (IaaS, PaaS), Cloud platform APIs, Containerization with Docker, Basic cloud resource management |
| CCT21107 | Technical Seminar | Core | 1 | Literature review techniques, Technical presentation skills, Report preparation, Topic selection and research, Critical analysis of technical papers |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CCT21201 | Big Data Analytics for Cloud | Core | 3 | Big Data characteristics and challenges, Hadoop ecosystem (HDFS, MapReduce), Apache Spark for data processing, NoSQL databases, Data analytics on cloud platforms |
| CCT21202 | Cloud Security and Privacy | Core | 3 | Cloud security threats and vulnerabilities, Data privacy and compliance, Identity and Access Management (IAM), Encryption in cloud, Cloud security best practices |
| CCT21203 | DevOps and Cloud Operations | Core | 3 | DevOps principles and culture, Continuous Integration/Continuous Deployment (CI/CD), Container orchestration (Kubernetes), Infrastructure as Code (IaC), Monitoring and logging in cloud |
| CCT21E E1 | Elective I | Elective | 3 | Distributed Computing paradigms, Network Function Virtualization, Software Defined Networking concepts, Blockchain Technology applications, Edge and Fog Computing |
| CCT21E E2 | Elective II | Elective | 3 | High Performance Computing, Service Oriented Architecture, Deep Learning for Cloud Applications, Cloud Security advanced topics, Cloud Automation |
| CCT21204 | Big Data Analytics for Cloud Lab | Lab | 2 | Hadoop and Spark implementation, NoSQL database operations, Data ingestion and processing on cloud, Big Data visualization tools, Cloud-based data pipeline creation |
| CCT21205 | Cloud Security and DevOps Lab | Lab | 2 | IAM configuration and policy management, CI/CD pipeline implementation (Jenkins/GitLab), Kubernetes cluster deployment, Cloud monitoring and alerting, Infrastructure as Code tools (Terraform) |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CCT21301 | Advanced Cloud Architectures and Design Patterns | Core | 3 | Microservices architecture, Serverless computing paradigms, Multi-cloud and hybrid cloud strategies, Containerization and orchestration, Cloud native design patterns |
| CCT21302 | Cloud Migration and Modernization | Core | 3 | Cloud migration strategies (Rehost, Replatform, Rearchitect), Application modernization techniques, Cloud adoption frameworks, Cost optimization in cloud migration, Data migration best practices |
| CCT21E E3 | Elective III | Elective | 3 | Quantum Computing Principles, Advanced Internet of Things, Virtual Reality and Augmented Reality, Computer Vision applications, Natural Language Processing for cloud |
| CCT21E E4 | Elective IV | Elective | 3 | Ethical Hacking and Penetration Testing, Cyber Forensics in cloud, Advanced Cryptography, Data Privacy and Anonymity, Information Retrieval systems |
| CCT21303 | Project Phase I | Project | 6 | Problem identification and definition, Extensive literature survey, Methodology design and planning, Initial system design and implementation, Technical report documentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CCT21401 | Project Phase II | Project | 12 | Advanced system implementation and development, Testing, debugging, and validation, Performance analysis and optimization, Thesis writing and documentation, Project defense and viva-voce |
