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M-SC-COMPUTER-APPLICATIONS in General at Symbiosis International University
Pune, Maharashtra
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About the Specialization
What is General at Symbiosis International University Pune?
This M.Sc. Computer Applications program at Symbiosis International University (SICSR) focuses on providing advanced knowledge and practical skills in various facets of computer science and its applications. It is designed to meet the growing demand for skilled IT professionals in the dynamic Indian industry, covering emerging areas like Cloud Computing, Data Science, and Advanced Web Technologies. The program differentiates itself by integrating strong theoretical foundations with hands-on laboratory experiences and real-world projects.
Who Should Apply?
This program is ideal for engineering graduates in computer science, IT, or related fields, and also for science graduates with a strong mathematical and computing aptitude, seeking entry into high-growth tech careers. It also caters to working professionals looking to upskill in cutting-edge technologies like data analytics, cloud computing, or cybersecurity. Candidates should possess a keen interest in problem-solving and a desire to contribute to the evolving digital landscape in India.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Software Developer, Data Scientist, Cloud Engineer, Cybersecurity Analyst, or IT Consultant in India''''s leading tech firms and startups. Entry-level salaries typically range from INR 4-8 lakhs per annum, with experienced professionals earning significantly more (INR 10-25 lakhs+). The curriculum prepares students for industry-recognized certifications and enables rapid career progression within the vibrant Indian IT sector.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to practice core programming concepts learned in Data Structures, Algorithms, Python, and Java. Solve daily coding challenges on platforms to build logical thinking and efficient coding habits.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef
Career Connection
Strong fundamentals are critical for technical interviews and developing robust software solutions in placements.
Build a Strong Academic Network- (Semester 1-2)
Form study groups with peers to discuss complex concepts, review assignments, and prepare for exams collaboratively. Engage with faculty during office hours to clarify doubts and seek guidance on project ideas.
Tools & Resources
WhatsApp groups, Google Meet, Departmental forums
Career Connection
Peer learning enhances understanding, and faculty mentorship can open doors to research opportunities or project recommendations.
Develop Foundational Projects- (Semester 1-2)
Apply theoretical knowledge by building small-scale projects based on courses like DBMS, Web Technologies, and OOP. Focus on clear problem definition, basic design, and functional implementation to showcase learning.
Tools & Resources
GitHub, VS Code, MySQL/PostgreSQL, HTML/CSS/JavaScript
Career Connection
A portfolio of well-documented projects demonstrates practical skills to recruiters even at an early stage.
Intermediate Stage
Gain Real-world Internship Experience- (Semester 3)
Actively seek and participate in internships during the third semester. Focus on applying advanced concepts from Cloud Computing, Data Science, or electives. Aim for roles that offer hands-on development or analytics exposure.
Tools & Resources
Internshala, LinkedIn, College placement cell, Company career pages
Career Connection
Internships provide invaluable industry exposure, build professional networks, and often lead to pre-placement offers, significantly boosting career prospects.
Specialize through Electives and Certifications- (Semester 3)
Choose electives strategically based on career interests (e.g., Data Engineering, App Dev, Cybersecurity). Complement coursework with industry-recognized certifications (e.g., AWS Certified Cloud Practitioner, Google Data Analytics Professional Certificate) to validate specialized skills.
Tools & Resources
Coursera, Udemy, edX, NPTEL, Official cloud provider training
Career Connection
Specialized skills and certifications make candidates more attractive for niche roles in high-demand areas within the Indian tech market.
Participate in Tech Competitions and Hackathons- (Semester 3)
Join coding competitions, hackathons, or data science challenges organized by companies or college tech clubs. This helps in problem-solving under pressure, teamwork, and quickly prototyping solutions.
Tools & Resources
Kaggle, TechGig, Regional hackathons, College tech events
Career Connection
Winning or even participating in such events adds significant value to resumes and demonstrates practical skill application and innovation to potential employers.
Advanced Stage
Execute a Capstone Project/Dissertation- (Semester 4)
Dedicate extensive effort to the final semester project/dissertation, focusing on a real-world problem or a research area. Ensure the project demonstrates comprehensive skills from analysis to deployment, with strong documentation and presentation.
Tools & Resources
Relevant IDEs, Cloud platforms, Data analysis tools, Project management software, GitHub
Career Connection
A strong, well-executed capstone project is often the highlight of an interview, showcasing deep technical expertise and problem-solving abilities.
Intensive Placement Preparation- (Semester 4)
Begin rigorous preparation for placement drives, including mock interviews (technical and HR), aptitude tests, and resume building workshops. Practice communication skills and behavioral aspects required for corporate roles.
Tools & Resources
InterviewBit, Naukri, LinkedIn, College placement cell workshops, Glassdoor
Career Connection
Thorough preparation is crucial for converting placement opportunities into job offers from top companies.
Develop Professional Online Presence- (Semester 4)
Curate a professional online presence through an updated LinkedIn profile showcasing skills, projects, and certifications. Create a personal website or blog to highlight expertise and thought leadership in chosen domains.
Tools & Resources
LinkedIn, Personal portfolio websites (e.g., GitHub Pages, WordPress), Medium
Career Connection
A strong online presence helps in networking, attracts recruiters, and demonstrates proactive career management.
Program Structure and Curriculum
Eligibility:
- Graduate from any statutory university with a minimum of 50% marks (45% for SC/ST) at the qualifying examination level. Candidates appearing for the final year examination can also apply.
Duration: 2 years (4 semesters)
Credits: 90 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 070121101 | Object Oriented Analysis & Design | Core | 4 | OOAD Introduction, UML Modeling, Use Case Diagrams, Class Diagrams, Interaction Diagrams, Design Patterns |
| 070121102 | Data Structures & Algorithms | Core | 4 | Introduction to Data Structures, Arrays, Linked Lists, Trees, Graphs, Sorting Algorithms, Searching Algorithms, Algorithm Analysis |
| 070121103 | Database Management Systems | Core | 4 | DBMS Concepts, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| 070121104 | Operating Systems | Core | 4 | OS Overview, Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| 070121105 | Computer Networks | Core | 4 | Network Models, Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 070121106 | Web Technologies | Core | 4 | HTML, CSS, JavaScript Fundamentals, DOM Manipulation, Web Servers, Client-Server Architecture, AJAX |
| 070121107 | Object Oriented Analysis & Design Lab | Lab | 2 | UML Tools, Use Case Implementation, Class Diagram Design, Sequence Diagram Modeling, State Chart Diagrams |
| 070121108 | Data Structures & Algorithms Lab | Lab | 2 | Array Operations, Linked List Implementations, Tree Traversals, Graph Algorithms, Sorting Techniques |
| 070121109 | Database Management Systems Lab | Lab | 2 | SQL Queries, DDL/DML Commands, Joins, Views, Stored Procedures, Triggers |
| 070121110 | Web Technologies Lab | Lab | 2 | HTML Page Design, CSS Styling, JavaScript Interactions, Form Validation, Server-side Scripting Basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 070121201 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Design Principles, Software Testing, Project Management |
| 070121202 | Advanced Database Management System | Core | 4 | Distributed DBMS, Object-Oriented DBMS, Big Data Concepts, Data Warehousing, Data Mining |
| 070121203 | Programming with Python | Core | 4 | Python Basics, Data Structures in Python, Functions, Modules, Object-Oriented Python, File Handling, Database Connectivity |
| 070121204 | Java Programming | Core | 4 | Java Fundamentals, OOP in Java, Exception Handling, Multithreading, Collection Framework, JDBC |
| 070121205 | Advanced Web Technologies | Core | 4 | Server-Side Scripting, Frameworks (e.g., Node.js, Spring), RESTful APIs, Web Security, Cloud Deployment |
| 070121206 | Advanced Database Management System Lab | Lab | 2 | Advanced SQL, PL/SQL, NoSQL Databases (e.g., MongoDB), Data Warehousing Tools, OLAP Operations |
| 070121207 | Programming with Python Lab | Lab | 2 | Python Scripting, Data Analysis Libraries (Numpy, Pandas), Web Scraping, GUI Programming, API Integration |
| 070121208 | Java Programming Lab | Lab | 2 | Core Java Programs, GUI Applications (Swing/JavaFX), Database Connectivity, Web Application Development |
| 070121209 | Advanced Web Technologies Lab | Lab | 2 | Frontend Frameworks (React/Angular), Backend Frameworks (Node.js/Django), API Development, Deployment Strategies |
| 070121210 | Research Methodology & Statistical Tools | Core | 4 | Research Design, Data Collection Methods, Statistical Inference, Hypothesis Testing, SPSS/R for Data Analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 070121301 | Cloud Computing | Core | 4 | Cloud Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, AWS/Azure Basics |
| 070121302 | Data Science & Big Data Analytics | Core | 4 | Data Science Life Cycle, Big Data Technologies (Hadoop, Spark), Machine Learning Algorithms, Data Visualization, Predictive Analytics |
| 070121303A | NoSQL Databases (Elective Option 1 - Group A) | Elective | 4 | CAP Theorem, Document Databases, Key-Value Stores, Column-Family Databases, Graph Databases, MongoDB |
| 070121303B | Enterprise Application Development (Elective Option 1 - Group B) | Elective | 4 | Enterprise Architectures, MVC Frameworks, Spring Boot, Microservices, Security Aspects |
| 070121303C | Cyber Security (Elective Option 1 - Group C) | Elective | 4 | Network Security, Cryptography, Web Security, Intrusion Detection Systems, Security Policies |
| 070121304A | Data Warehousing & Data Mining (Elective Option 2 - Group A) | Elective | 4 | Data Warehouse Architecture, ETL Process, OLAP Operations, Data Mining Techniques, Association Rules, Classification |
| 070121304B | Mobile Application Development (Elective Option 2 - Group B) | Elective | 4 | Android/iOS Architecture, UI/UX Design Principles, Activity Lifecycle, Data Storage, API Integration |
| 070121304C | Digital Forensics (Elective Option 2 - Group C) | Elective | 4 | Forensic Process, Data Acquisition, File System Analysis, Network Forensics, Mobile Forensics |
| 070121305 | Cloud Computing Lab | Lab | 2 | AWS/Azure Services, VM Creation, Storage Services, Network Configuration, Serverless Computing |
| 070121306 | Data Science & Big Data Analytics Lab | Lab | 2 | Python for Data Science, Hadoop Ecosystem, Spark Programming, Machine Learning Model Implementation, Data Visualization Tools |
| 070121307 | Internship | Project | 4 | Industry Project, Problem Identification, Solution Design, Implementation, Report Writing, Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 070121401 | Project Based Learning (PBL) / Dissertation | Project | 10 | Problem Identification, Literature Review, System Design, Implementation, Testing and Evaluation, Project Report and Presentation |
| 070121402A | Machine Learning (Elective Option 3 - Group A) | Elective | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation, Scikit-learn |
| 070121402B | DevOps (Elective Option 3 - Group B) | Elective | 4 | CI/CD Pipelines, Version Control (Git), Containerization (Docker), Orchestration (Kubernetes), Automation |
| 070121402C | Ethical Hacking (Elective Option 3 - Group C) | Elective | 4 | Penetration Testing Phases, Reconnaissance, Scanning Techniques, Exploitation, Post-Exploitation, Reporting |
| 070121403A | Business Intelligence (Elective Option 4 - Group A) | Elective | 4 | BI Concepts, Data Visualization, Dashboards and Reporting, Decision Support Systems, ETL Tools |
| 070121403B | Internet of Things (IoT) (Elective Option 4 - Group B) | Elective | 4 | IoT Architecture, Sensors & Actuators, Communication Protocols, IoT Platforms, Edge Computing |
| 070121403C | Information Security Governance, Risk & Compliance (Elective Option 4 - Group C) | Elective | 4 | ISMS (Information Security Management System), Risk Management, Compliance Frameworks (ISO 27001), Security Auditing, Business Continuity Planning |
