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B-TECH in Computer Science And Engineering With Cloud Computing at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Computer Science and Engineering with Cloud Computing at SRM Institute of Science and Technology Chengalpattu?
This B.Tech Computer Science and Engineering with Cloud Computing program at SRM Institute of Science and Technology focuses on building expertise in designing, deploying, and managing cloud-based solutions. Addressing India''''s burgeoning digital economy, it equips students with skills in leading cloud platforms, virtualization, and distributed systems. The curriculum emphasizes industry-relevant technologies crucial for the Indian IT sector''''s rapid cloud adoption.
Who Should Apply?
This program is ideal for aspiring software engineers and IT professionals keen on a career in cloud architecture, DevOps, or cloud security. Fresh graduates with a strong aptitude for computing and problem-solving, as well as working professionals aiming to upskill for cloud-specific roles, will find it beneficial. It caters to those looking to leverage cloud technologies to solve complex business challenges in various Indian industries.
Why Choose This Course?
Graduates of this program can expect promising career paths as Cloud Architects, DevOps Engineers, Cloud Security Specialists, and Cloud Developers within India''''s top IT firms and startups. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program prepares students for industry-recognized certifications like AWS Certified Solutions Architect or Azure Administrator Associate, enhancing their growth trajectory.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Python- (Semester 1-2)
Dedicate time in Semesters 1-2 to solidify Python programming skills by solving a variety of problems. Focus on data structures and algorithms (DSA) early, as it forms the bedrock for advanced computing. Actively participate in coding contests and peer programming sessions.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, SRMIST coding clubs
Career Connection
Strong DSA and programming skills are non-negotiable for placements in top tech companies, especially for software development roles. This builds logical thinking crucial for cloud automation scripts.
Build a Robust Academic Base in Core CS- (Semester 1-2)
Focus on understanding core Computer Science subjects like Operating Systems, Database Management Systems, and Computer Networks thoroughly. These foundational concepts are directly applicable to understanding cloud infrastructure and distributed systems. Form study groups to discuss complex topics and clarify doubts.
Tools & Resources
Textbooks and course materials, NPTEL courses, MIT OpenCourseware, Peer study groups
Career Connection
A strong theoretical foundation allows for deeper understanding of how cloud services work internally, which is critical for architects and advanced cloud roles, not just basic users.
Engage in Early Project Development- (Semester 1-2)
Start building small projects from the first year itself, even simple applications using Python or Java. This practical application of learned concepts helps in reinforcing knowledge and identifying areas for improvement. Utilize open-source resources and online tutorials for guidance.
Tools & Resources
GitHub, VS Code, Stack Overflow, Official documentation for languages/frameworks
Career Connection
Early project experience adds valuable entries to your resume, showcases practical skills, and prepares you for hackathons and advanced project work, enhancing internship and placement prospects.
Intermediate Stage
Deep Dive into Cloud Platform Fundamentals- (Semester 3-5)
From Semester 3 onwards, actively engage with the core cloud computing courses. Pursue introductory certifications from major cloud providers (AWS Cloud Practitioner, Azure Fundamentals) alongside coursework. Get hands-on experience with free tier accounts to understand IaaS, PaaS, and SaaS offerings.
Tools & Resources
AWS Free Tier, Azure Free Account, Google Cloud Free Tier, Official certification guides
Career Connection
Demonstrating practical experience with cloud platforms through certifications makes you highly marketable for entry-level cloud engineering and solutions architect roles in India.
Develop Specialization-Specific Projects and Internships- (Semester 3-5)
Focus on building projects specifically related to cloud architecture, DevOps, or cloud security. Seek internships at companies (startups or MNCs) with significant cloud operations. This practical exposure translates classroom knowledge into real-world skills and builds professional networks.
Tools & Resources
LinkedIn for internship search, College placement cell, Industry mentorship programs, Cloud-specific project templates
Career Connection
Meaningful internships and specialized projects provide a competitive edge, often leading to pre-placement offers or direct roles in cloud-focused teams within Indian tech companies.
Participate in Cloud-Focused Competitions and Hackathons- (Semester 3-5)
Engage in cloud-specific hackathons, coding challenges, or innovation contests organized by institutions or industry players. These platforms provide opportunities to apply advanced cloud concepts, work in teams, and gain exposure to emerging cloud technologies and problem statements.
Tools & Resources
Devpost, Major cloud provider hackathon events, SRMIST tech fests and innovation cells
Career Connection
Success in competitions highlights problem-solving abilities, teamwork, and cloud expertise, making you a standout candidate for advanced engineering roles and scholarships.
Advanced Stage
Pursue Advanced Cloud Certifications and Specializations- (Semester 6-8)
In the final semesters, aim for associate or professional level certifications (e.g., AWS Solutions Architect Associate, Azure Developer Associate, Kubernetes Administrator). Focus on specific areas like Cloud Security, DevOps, or Big Data on Cloud, aligning with your career interests. This deepens expertise and credibility.
Tools & Resources
Udemy, Coursera, A Cloud Guru for advanced courses, Official documentation and practice exams, Mentors specializing in your chosen cloud domain
Career Connection
Advanced certifications are highly valued by Indian and global companies, opening doors to senior roles, better compensation, and expert positions in specialized cloud domains.
Undertake a Comprehensive Major Project- (Semester 7-8)
Dedicate significant effort to your final year major project, integrating multiple cloud technologies and best practices learned. Aim for an innovative solution to a real-world problem, potentially collaborating with industry. Focus on scalability, security, and cost-efficiency in your design.
Tools & Resources
Cloud provider SDKs and APIs, Open-source cloud tools (Terraform, Ansible), Version control systems (Git), Industry publications and research papers
Career Connection
A well-executed major project serves as a powerful portfolio piece, showcasing your ability to design and implement complex cloud solutions, directly enhancing placement opportunities for high-impact roles.
Engage in Continuous Learning and Networking- (Semester 6-8)
Stay updated with the rapidly evolving cloud landscape by following industry blogs, attending webinars, and participating in cloud meetups or conferences (physical or virtual). Network with professionals and alumni in the cloud domain to gain insights and explore career opportunities in India and globally.
Tools & Resources
LinkedIn, Cloud provider blogs, Meetup.com, Industry events like AWS Summits, Microsoft Ignite
Career Connection
Networking opens doors to hidden job markets, mentorship, and keeps you relevant, which is crucial for long-term career growth in the dynamic Indian IT and cloud sector.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 or its equivalent with a minimum of 50% aggregate in Physics, Chemistry, and Mathematics (PCM). Candidates must also have a valid score in SRMJEE (UG) or JEE Main.
Duration: 4 years / 8 semesters
Credits: 168 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21LEH101J | Communicative English | Humanities and Social Sciences | 3 | Grammar and Vocabulary, Reading Comprehension, Written Communication, Oral Communication, Presentation Skills |
| 21MAB101J | Calculus and Linear Algebra | Basic Science | 4 | Matrices and Vector Spaces, Differential Calculus, Integral Calculus, Multivariable Calculus, Differential Equations |
| 21PHY101J | Engineering Physics | Basic Science | 3 | Quantum Physics, Solid State Physics, Optics, Lasers and Fiber Optics, Nanomaterials |
| 21CYB101J | Engineering Chemistry | Basic Science | 3 | Electrochemistry, Corrosion and its Control, Polymer Chemistry, Water Treatment, Fuels and Combustion |
| 21CST101J | Problem Solving using Python | Engineering Sciences | 3 | Python Fundamentals, Data Types and Operators, Control Flow, Functions and Modules, Data Structures |
| 21CSL101J | Problem Solving using Python Lab | Engineering Sciences Lab | 1.5 | Hands-on Python Programming, Algorithmic Problem Solving, Debugging Techniques, Data Structure Implementation, File Handling |
| 21LEL101J | Basic Engineering Graphics | Engineering Sciences Lab | 2 | Engineering Drawing Conventions, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD |
| 21PHL101J | Physics and Chemistry Lab | Basic Science Lab | 1.5 | Optics Experiments, Electrical Measurements, Viscosity Measurements, Titration Techniques, Conductivity Experiments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAH201J | Probability and Statistics | Basic Science | 4 | Probability Distributions, Random Variables, Hypothesis Testing, Regression and Correlation, ANOVA |
| 21CSH201J | Data Structures and Algorithms | Program Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21ECH201J | Digital Logic and Design | Engineering Sciences | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters |
| 21CSH202J | Object Oriented Programming using Java | Program Core | 3 | Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading, Collections Framework |
| 21CSH203J | Computer Organization and Architecture | Program Core | 3 | CPU Organization, Memory Hierarchy, I/O Organization, Pipelining, Instruction Set Architectures |
| 21CSL201J | Data Structures and Algorithms Lab | Program Core Lab | 1.5 | Implementation of Data Structures, Algorithm Analysis, Graph Traversal Algorithms, Dynamic Programming, Problem Solving with DSA |
| 21CSL202J | Object Oriented Programming using Java Lab | Program Core Lab | 1.5 | Java Programming Practice, GUI Development, Database Connectivity, Web Application Basics, Project Development |
| 21ECL201J | Digital Logic and Design Lab | Engineering Sciences Lab | 1.5 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Flip-Flops and Counters, HDL Simulation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAH301J | Discrete Mathematics | Basic Science | 3 | Set Theory and Logic, Combinatorics, Graph Theory, Recurrence Relations, Algebraic Structures |
| 21CSH301J | Operating Systems | Program Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks and Concurrency |
| 21CSH302J | Database Management Systems | Program Core | 3 | Relational Model, SQL Queries, Database Design, Transaction Management, NoSQL Databases |
| 21CSH303J | Computer Networks | Program Core | 3 | OSI and TCP/IP Models, Network Topologies, Routing Protocols, Transport Layer Protocols, Network Security Basics |
| 21CST301J | Principles of Cloud Computing | Specialization Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security Fundamentals |
| 21CSL301J | Operating Systems Lab | Program Core Lab | 1.5 | Shell Scripting, Process Creation and Management, Synchronization, Memory Allocation, File System Calls |
| 21CSL302J | Database Management Systems Lab | Program Core Lab | 1.5 | SQL Querying, Database Schema Design, Triggers and Procedures, Database Connectivity, Data Manipulation |
| 21CSL303J | Cloud Computing Fundamentals Lab | Specialization Core Lab | 1.5 | Cloud Platform Exploration (AWS/Azure/GCP), Virtual Machine Provisioning, Storage Services, Networking in Cloud, Basic Cloud Services Deployment |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CSH401J | Software Engineering | Program Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Testing and Maintenance, Agile Methodologies |
| 21CSH402J | Theory of Computation | Program Core | 3 | Finite Automata, Context-Free Grammars, Turing Machines, Decidability and Undecidability, Complexity Classes |
| 21CST401J | Cloud Architecture and Deployment | Specialization Core | 4 | Cloud Architecture Design, Containerization (Docker, Kubernetes), Microservices Architecture, Infrastructure as Code (Terraform), Serverless Computing |
| 21CST402J | Distributed Systems | Specialization Core | 3 | Concurrency Control, Distributed Consensus, Fault Tolerance, Distributed File Systems, Remote Procedure Calls |
| 21CSL401J | Software Engineering Lab | Program Core Lab | 1.5 | UML Modeling, Version Control Systems, Test Case Generation, Requirement Traceability, Project Management Tools |
| 21CSL402J | Cloud Architecture and Deployment Lab | Specialization Core Lab | 2 | Docker and Kubernetes Deployment, IaC with Terraform/CloudFormation, Serverless Function Development, Microservice Deployment, CI/CD Pipeline Setup |
| 21CSH4XXJ | Open Elective - I | Open Elective | 3 | Various topics depending on student choice |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CSH501J | Artificial Intelligence | Program Core | 3 | Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing, Expert Systems |
| 21CST501J | Cloud Security and Compliance | Specialization Core | 3 | Cloud Security Threats, Identity and Access Management, Data Encryption in Cloud, Network Security in Cloud, Cloud Compliance and Governance |
| 21CST502J | Cloud Data Management | Specialization Core | 3 | Cloud Storage Architectures, NoSQL Databases in Cloud, Big Data Processing on Cloud, Data Lakes and Warehousing, Data Migration Strategies |
| 21CSE5XXJ | Program Elective - I | Program Elective | 3 | Advanced topics in CSE |
| 21CSL501J | Cloud Security Lab | Specialization Core Lab | 1.5 | IAM Configuration, Security Group Management, VPC Configuration, Encryption Key Management, Compliance Tools Exploration |
| 21CSL502J | Cloud Data Management Lab | Specialization Core Lab | 1.5 | Cloud Database Deployment, Big Data Analytics Tools (e.g., Spark), Data Ingestion and Processing, Data Lake Implementation, Object Storage Management |
| 21CSH5XXJ | Open Elective - II | Open Elective | 3 | Various topics depending on student choice |
| 21PJT501J | Minor Project - I | Project | 2 | Problem Identification, Requirement Analysis, Design and Implementation, Testing and Evaluation, Documentation and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CST601J | Cloud Native Applications | Specialization Core | 3 | Microservices Design Patterns, Serverless Architectures, API Gateway Management, Service Mesh, Observability in Cloud Native |
| 21CST602J | DevOps for Cloud | Specialization Core | 3 | CI/CD Pipelines, Configuration Management, Monitoring and Logging, Automation Tools (Ansible, Jenkins), Site Reliability Engineering (SRE) |
| 21CSE6XXJ | Program Elective - II | Program Elective | 3 | Advanced topics in CSE |
| 21CSE6XYJ | Program Elective - III (Cloud Related) | Specialization Elective | 3 | Edge Computing, Quantum Computing in Cloud, Blockchain in Cloud, Cloud Economics, Multi-Cloud Management |
| 21CSL601J | Cloud Native Applications Lab | Specialization Core Lab | 1.5 | Microservices Development, Serverless Function Deployment, Container Orchestration with K8s, API Management, CI/CD for Cloud Native |
| 21CSL602J | DevOps for Cloud Lab | Specialization Core Lab | 1.5 | Automated Testing, Infrastructure Provisioning, Monitoring Dashboard Setup, Log Analysis, Configuration Automation |
| 21CST699J | Industrial Internship / Project Work (Phase I) | Project / Internship | 3 | Industry Problem Identification, Technology Stack Selection, Initial Design and Prototyping, Team Collaboration, Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CST701J | Cloud Migration and Modernization | Specialization Core | 3 | Migration Strategies (Rehost, Replatform, Refactor), Application Modernization, Cost Optimization in Cloud, Cloud Governance and Management, Business Continuity and Disaster Recovery |
| 21CST702J | Advanced Cloud Platforms (AWS/Azure/GCP Deep Dive) | Specialization Core | 3 | Advanced Compute Services, Specialized Database Services, Networking and Content Delivery, Security and Identity Services, Cost Management Tools |
| 21CSE7XXJ | Program Elective - IV (Cloud Related) | Specialization Elective | 3 | Cloud Analytics, Serverless Architectures Deep Dive, Cloud Gaming, Hybrid Cloud Solutions, Cloud for IoT |
| 21CSE7XYJ | Program Elective - V (Cloud Related) | Specialization Elective | 3 | Data Engineering on Cloud, Machine Learning on Cloud, Cloud Forensics, Cloud-based ERP Solutions, Sustainability in Cloud Computing |
| 21CSL701J | Cloud Migration Lab | Specialization Core Lab | 1.5 | Workload Migration Tools, Database Migration Services, Application Refactoring, Cost Monitoring, DR Setup |
| 21PJT799J | Major Project | Project | 6 | Comprehensive System Design, Full-stack Cloud Development, Advanced Deployment Strategies, Performance Optimization, Project Documentation and Defense |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CST801J | Cloud Service Brokerage and Management | Specialization Core | 3 | Cloud Brokerage Models, Service Level Agreements, Cloud Financial Management, Vendor Lock-in Strategies, Future Trends in Cloud |
| 21CSE8XXJ | Program Elective - VI (Cloud Related) | Specialization Elective | 3 | Quantum Cryptography, Cyber-Physical Systems, Digital Twins in Cloud, Robotics Process Automation (RPA), Ethical Hacking for Cloud |
| 21PJT899J | Project Work (Continuation) / Internship | Project / Internship | 6 | Advanced Implementation, Performance Tuning, Final Product Deployment, Market Analysis and Business Case, Comprehensive Report and Presentation |
| 21PDG801J | Professional Development and Ethics | Humanities and Social Sciences | 2 | Professional Communication, Ethics in Engineering, Intellectual Property Rights, Entrepreneurship Basics, Career Planning |
