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MCA in Cloud Computing at Akash Global College of Management and Science
Bengaluru, Karnataka
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About the Specialization
What is Cloud Computing at Akash Global College of Management and Science Bengaluru?
This Cloud Computing program at Akash Global College of Management and Science focuses on equipping students with expertise in designing, deploying, and managing cloud-based solutions. Addressing the exponential growth of cloud services in the Indian IT sector, the program emphasizes practical skills for building scalable, secure, and efficient cloud infrastructure. It delves into modern cloud architectures and service models crucial for India''''s digital transformation.
Who Should Apply?
This program is ideal for BCA, B.Sc. in Computer Science/IT, or B.E./B.Tech graduates aspiring to build a career in the rapidly expanding cloud domain. It also caters to working professionals seeking to upskill in cloud technologies or career changers aiming to transition into high-demand roles like Cloud Architects or DevOps Engineers within the Indian tech landscape.
Why Choose This Course?
Graduates of this program can expect promising career paths as Cloud Developers, Cloud Administrators, Cloud Security Engineers, or DevOps Specialists in India. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The program aligns with industry certifications from major cloud providers, boosting growth trajectories in leading Indian and multinational companies.
Student Success Practices
Foundation Stage
Strengthen Core Programming & Data Structures- (Semester 1-2)
Dedicate significant time in Semesters 1-2 to master fundamental programming languages like Python and Java, alongside core data structures and algorithms. Participate in coding challenges regularly to enhance problem-solving skills.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses for Data Structures
Career Connection
A strong foundation is critical for interviews at product-based companies and forms the basis for complex cloud application development.
Build a Solid Understanding of Database & OS Concepts- (Semester 1-2)
Focus on understanding the internal workings of Operating Systems and Database Management Systems. Practical exercises in SQL and command-line interfaces are crucial to grasp how applications interact with infrastructure.
Tools & Resources
MySQL Workbench, Postman for API testing, Linux commands practice
Career Connection
These are foundational for managing cloud resources, troubleshooting infrastructure, and database administration roles in the cloud.
Cultivate Effective Communication and Teamwork- (Semester 1-2)
Actively engage in group assignments, presentations, and communication skill-building workshops. Peer learning through study groups can solidify understanding and improve collaborative abilities.
Tools & Resources
Grammarly, Microsoft Teams/Google Meet for group projects, Toastmasters (if available)
Career Connection
Essential for collaborating in agile development teams and effectively presenting technical solutions to stakeholders in any IT role.
Intermediate Stage
Engage in Cloud-Specific Projects and Certifications- (Semester 3-4)
Beyond coursework, start small projects utilizing free tiers of AWS, Azure, or GCP. Aim for associate-level cloud certifications (e.g., AWS Cloud Practitioner, Azure Fundamentals) to validate foundational cloud knowledge.
Tools & Resources
AWS Free Tier, Azure Free Account, Google Cloud Free Tier, online certification training platforms
Career Connection
Practical project experience and certifications are highly valued by recruiters for entry-level cloud engineering and architecture roles.
Explore DevOps Tools and Practices- (Semester 3-4)
Familiarize yourself with key DevOps tools introduced in the syllabus like Docker, Kubernetes, and CI/CD pipelines (Jenkins, GitLab CI). Understand infrastructure as code concepts by experimenting with Terraform or Ansible.
Tools & Resources
Docker Desktop, Minikube, GitHub Actions, Ansible documentation
Career Connection
DevOps skills are critical for automating deployments and operations in cloud environments, leading to roles as DevOps Engineer or SRE.
Network with Industry Professionals and Alumni- (Semester 3-4)
Attend industry workshops, webinars, and college alumni events focused on cloud computing. Leverage platforms like LinkedIn to connect with professionals working in your desired cloud roles.
Tools & Resources
LinkedIn, Meetup groups for cloud technologies, College career fairs
Career Connection
Networking opens doors to internship opportunities, mentorship, and insights into industry trends, significantly aiding job search.
Advanced Stage
Undertake a Comprehensive Industry Project/Internship- (Semester 4)
Focus on selecting an industry project or internship during Semester 4 that allows you to apply theoretical cloud knowledge to a real-world problem, ideally leveraging multiple cloud services and DevOps practices.
Tools & Resources
Cloud provider SDKs, Version control systems (Git), Project management tools
Career Connection
A strong capstone project or internship is a key differentiator in placement drives, showcasing practical skills and problem-solving abilities to potential employers.
Master Cloud-Native Application Development- (Semester 4)
Dive deep into developing applications designed specifically for cloud platforms, including serverless functions, microservices, and containerized deployments. Understand the benefits and challenges of each approach.
Tools & Resources
AWS Serverless Application Model (SAM), Azure Functions Core Tools, Kubernetes documentation
Career Connection
This skill set is highly sought after for Cloud Developer roles, enabling the creation of scalable and resilient cloud applications.
Prepare Rigorously for Placements and Interviews- (Semester 4)
Engage in mock interviews, revise core computer science concepts, and practice technical questions specific to cloud computing and DevOps. Refine your resume and cover letter to highlight your specialization.
Tools & Resources
Glassdoor, Indeed, InterviewBit, company-specific interview prep guides
Career Connection
Thorough preparation directly translates into higher chances of securing desired roles in leading cloud service providers and IT companies.
Program Structure and Curriculum
Eligibility:
- BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. OR Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge courses as per the norms of the concerned University).
Duration: 4 semesters / 2 years
Credits: 100 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MCA101 | Discrete Mathematics and Numerical Methods | Core | 4 | Logic and Set Theory, Relations and Functions, Graph Theory, Recurrence Relations, Numerical Methods for Equations |
| MCA102 | Data Structures and Algorithms | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees and Graphs, Sorting and Searching Algorithms, Hashing Techniques, Algorithm Analysis |
| MCA103 | Computer Organization and Architecture | Core | 4 | Digital Logic Circuits, Data Representation, CPU Organization, Memory System Hierarchy, Input/Output Organization |
| MCA104 | Programming with Python | Core | 4 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming with Python, File Handling and Exception Handling |
| MCA105L | Data Structures and Algorithms Lab | Lab | 2 | Implementation of Linear Data Structures, Implementation of Non-Linear Data Structures, Sorting Algorithms Practice, Searching Algorithms Practice, Algorithm Efficiency Analysis |
| MCA106L | Programming with Python Lab | Lab | 2 | Basic Python Programming Exercises, Python Data Structures Implementation, Function and Module Creation, Object-Oriented Programming Concepts in Python, File Operations and Error Handling |
| MCA107F | Foundation Course in Mathematical & Statistical Foundations | Foundation/Bridge (Conditional) | 2 | Basic Algebra, Calculus Fundamentals, Probability Theory, Statistical Methods, Discrete Probability Distributions |
| MCA108C | Communication Skills | Ability Enhancement Course | 2 | Written Communication, Oral Communication and Presentation, Interpersonal and Team Skills, Group Discussion Techniques, Professional Etiquette |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MCA201 | Operating Systems | Core | 4 | Operating System Concepts, Process Management and Scheduling, Memory Management Techniques, File Systems and I/O Systems, Deadlocks and Concurrency Control |
| MCA202 | Object Oriented Programming with Java | Core | 4 | Java Fundamentals and Syntax, Classes, Objects, Inheritance, Polymorphism and Abstraction, Exception Handling and Multithreading, GUI Programming with AWT/Swing |
| MCA203 | Database Management Systems | Core | 4 | DBMS Concepts and Architecture, ER Model and Relational Model, SQL Query Language, Normalization and Dependency Theory, Transaction Management and Concurrency Control |
| MCA204 | Computer Networks | Core | 4 | Network Topologies and Models (OSI, TCP/IP), Data Link Layer Protocols, Network Layer - IP Addressing, Routing, Transport Layer - TCP, UDP, Application Layer Protocols (DNS, HTTP, FTP) |
| MCA205L | Object Oriented Programming with Java Lab | Lab | 2 | Java Program Development, Implementation of OOP Concepts, Exception Handling in Java, Multithreading Applications, Basic GUI Applications |
| MCA206L | Database Management Systems Lab | Lab | 2 | SQL Data Definition and Manipulation, Advanced SQL Queries, Stored Procedures and Functions, Trigger Implementation, Database Design Exercises |
| MCA207RM | Research Methodology & IPR | Core | 2 | Fundamentals of Research, Research Design and Methods, Data Collection and Analysis, Report Writing and Presentation, Intellectual Property Rights |
| MCA208SE | Software Engineering | Core | 2 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MCA301 | Web Technologies | Core | 4 | HTML, CSS, and JavaScript Fundamentals, Client-Server Architecture, Web Servers and Deployment, Dynamic Web Content Generation, AJAX and JSON |
| MCA302 | Artificial Intelligence & Machine Learning | Core | 4 | Introduction to AI and ML, Search Algorithms and Game Theory, Knowledge Representation, Supervised and Unsupervised Learning, Neural Networks and Deep Learning Basics |
| MCA303 | Big Data Analytics | Core | 4 | Big Data Concepts and Characteristics, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Data Processing, Data Warehousing and OLAP, Data Mining Techniques |
| MCA304L | Web Technologies Lab | Lab | 2 | HTML and CSS Page Design, JavaScript Client-Side Scripting, Dynamic Web Page Creation, Server-Side Scripting Integration, Database Connectivity for Web Apps |
| MCA305S | Soft Skills | Skill Enhancement Course | 2 | Professional Communication, Interpersonal Skills and Teamwork, Time and Stress Management, Interview and Presentation Skills, Corporate Etiquette and Ethics |
| MCA321CC | Cloud Architecture & Services | Elective (Cloud Computing) | 4 | Cloud Computing Fundamentals, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Infrastructure and Platforms |
| MCA322CC | Cloud Security | Elective (Cloud Computing) | 4 | Cloud Security Challenges and Concerns, Data Security and Privacy in Cloud, Identity and Access Management, Compliance and Governance in Cloud, Threat Models and Countermeasures |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MCA401 | Industry Project / Internship | Project | 12 | Problem Identification and Scope Definition, Literature Review and Research, System Design and Architecture, Implementation and Testing, Project Report Writing and Presentation |
| MCA402 | Human Computer Interaction | Core | 4 | HCI Fundamentals and Principles, Usability and User Experience Design, Interaction Design Paradigms, User-Centered Design Methods, HCI Evaluation Techniques |
| MCA403 | Mobile Application Development | Core | 4 | Mobile Operating System Architectures (Android/iOS), Mobile UI/UX Design Principles, Data Storage and Networking in Mobile Apps, Sensor Integration and Location Services, Mobile Application Deployment |
| MCA421CC | Cloud Application Development | Elective (Cloud Computing) | 4 | Cloud Native Application Development, Serverless Computing (AWS Lambda, Azure Functions), Containerization with Docker and Kubernetes, Microservices Architecture, Cloud Platform APIs and SDKs |
| MCA422CC | DevOps in Cloud | Elective (Cloud Computing) | 4 | DevOps Principles and Practices, Continuous Integration/Continuous Delivery (CI/CD), Infrastructure as Code (IaC) with Terraform/Ansible, Monitoring, Logging, and Alerting, Automation and Orchestration in Cloud |
