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MSC in Software Technology at Sacred Heart College (Autonomous)
Ernakulam, Kerala
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About the Specialization
What is Software Technology at Sacred Heart College (Autonomous) Ernakulam?
This MSc Software Technology program at Sacred Heart College, Ernakulam, focuses on advanced software development, data management, and network technologies. It is highly relevant to India''''s burgeoning IT sector, addressing the demand for skilled professionals in cutting-edge areas like cloud computing and data science. The program emphasizes both theoretical foundations and practical application, preparing graduates for key roles in the industry.
Who Should Apply?
This program is ideal for fresh graduates with a Bachelor''''s degree in Computer Science, BCA, or IT seeking entry into the software development, data analytics, or cloud engineering fields. It also suits working professionals aiming to upskill in modern software technologies or career changers transitioning into the IT industry, provided they meet the academic prerequisites.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Software Developers, Data Engineers, Cloud Architects, or System Analysts. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The program aligns with industry certifications in cloud platforms and data technologies, fostering strong growth trajectories in leading Indian companies and MNCs.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice core programming concepts (Data Structures, Algorithms, OOP using Java) through daily coding challenges and competitive programming platforms to build a strong logical foundation.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, Official Java Documentation
Career Connection
Essential for cracking technical interviews and building efficient, scalable software solutions in any IT company.
Active Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics and solve problems together. Engage in small collaborative projects to simulate real-world team environments and enhance communication skills.
Tools & Resources
Microsoft Teams, Google Meet, Departmental Labs, Google Docs
Career Connection
Develops communication and teamwork skills highly valued in professional software development, preparing for collaborative industry projects.
Build a Foundational Technical Portfolio- (Semester 1-2)
Start developing personal projects (e.g., small Java applications, basic web pages with database integration) to apply theoretical knowledge. Utilize version control to track progress and showcase work.
Tools & Resources
GitHub, VS Code/IntelliJ IDEA, MySQL/PostgreSQL, Basic Web Development Frameworks
Career Connection
Provides tangible evidence of practical skills and initiative, strengthening your resume for early career opportunities and internships.
Intermediate Stage
Deep Dive into Elective Specializations- (Semester 3)
Strategically select elective subjects aligned with future career goals (e.g., AI, Cloud, Cybersecurity). Go beyond the syllabus by exploring related advanced topics, research papers, and online courses.
Tools & Resources
Coursera, Udemy, NPTEL, IEEE Xplore, ACM Digital Library, Open-source Tools
Career Connection
Cultivates niche expertise that makes you a more competitive candidate for specialized roles in high-demand areas of the Indian tech industry.
Engage in Industry-Oriented Mini-Projects & Internships- (Semester 3)
Seek out and actively participate in mini-projects or short-term internships, ideally with local tech companies or startups. This provides exposure to real-world software development challenges and practices.
Tools & Resources
College Placement Cell, LinkedIn, Internshala, Faculty Advisors
Career Connection
Builds practical industry experience, develops a professional network, and helps refine career aspirations based on actual work environments.
Participate in Tech Challenges & Hackathons- (Semester 3)
Actively engage in hackathons and technical competitions organized by the college or external tech organizations. This hones problem-solving under pressure and fosters rapid prototyping skills.
Tools & Resources
Major League Hacking (MLH), Local Tech Community Meetups, College Tech Fests, Kaggle
Career Connection
Showcases innovation, teamwork, and ability to quickly learn and apply new technologies, which are critical for tech recruitment processes.
Advanced Stage
Intensive Placement Preparation- (Semester 4)
Systematically prepare for campus placements by solving aptitude questions, undergoing mock technical and HR interviews, and revisiting all core computer science subjects. Tailor applications to specific company requirements.
Tools & Resources
College Placement Office, IndiaBix, Glassdoor, Interview Prep Guides, Alumni Network
Career Connection
Crucial for securing desirable job offers from leading IT firms and startups in India immediately after graduation.
Develop a High-Impact Capstone Project- (Semester 4)
Dedicate substantial effort to the final semester project. Choose a challenging, innovative problem, aim for a production-ready prototype, and thoroughly document the process. Integrate advanced concepts learned.
Tools & Resources
Jira, Asana, GitHub, AWS/Azure/GCP, Relevant Frameworks/Libraries
Career Connection
A standout project is a significant asset on your resume and serves as a powerful demonstration of your comprehensive skills and problem-solving abilities to potential employers.
Build Professional Network & Personal Brand- (Semester 4)
Actively connect with industry professionals, alumni, and recruiters on platforms like LinkedIn. Attend career fairs and industry specific webinars. Cultivate a strong online presence showcasing your expertise and projects.
Tools & Resources
LinkedIn, Professional Networking Events, Tech Conferences, Personal Blog/Portfolio Website
Career Connection
Expands career opportunities, provides mentorship, and helps you stay abreast of industry trends, facilitating long-term career growth in the dynamic Indian tech market.
Program Structure and Curriculum
Eligibility:
- B.Sc. Computer Science / BCA / B.Sc. Information Technology with not less than 55% marks.
Duration: 4 semesters / 2 years
Credits: 80 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MSTS1C01 | Discrete Mathematical Structures | Core | 4 | Logic and Proofs, Set Theory and Relations, Functions and Counting, Graph Theory, Trees, Algebraic Structures |
| MSTS1C02 | Advanced Data Structures and Algorithms | Core | 4 | Algorithm Analysis, Trees and Heaps, Hashing Techniques, Graph Algorithms, Sorting and Searching, Advanced Data Structures |
| MSTS1C03 | Advanced Computer Networks | Core | 4 | Network Models and Protocols, Physical and Data Link Layers, Network Layer Protocols, Transport Layer Services, Application Layer Protocols, Network Security Basics |
| MSTS1C04 | Computer Architecture and Parallel Processing | Core | 4 | Computer System Organization, CPU Design and Instruction Sets, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing, Multiprocessors and Cache Coherence |
| MSTS1P01 | Lab I (Data Structures & Algorithms) | Lab | 2 | Implementation of Linear Data Structures, Implementation of Non-Linear Data Structures, Sorting Algorithms Implementation, Searching Algorithms Implementation, Graph Traversal Algorithms |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MSTS2C05 | Operating Systems and Kernel Programming | Core | 4 | Operating System Concepts, Process Management, Memory Management, File Systems and I/O, Distributed Operating Systems, Introduction to Kernel Programming |
| MSTS2C06 | Object Oriented Programming with Java | Core | 4 | OOP Concepts and Java Basics, Classes, Objects, Inheritance, Polymorphism and Interfaces, Exception Handling, Multithreading and Concurrency, GUI Programming with Swing/AWT |
| MSTS2C07 | Database Management Systems | Core | 4 | DBMS Architecture and Concepts, Relational Model and SQL, ER Modeling and Normalization, Query Processing and Optimization, Transaction Management, Concurrency Control and Recovery |
| MSTS2C08 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design Concepts, Software Testing Strategies, Software Project Management, Software Quality Assurance |
| MSTS2P02 | Lab II (Java & DBMS) | Lab | 2 | Java Programming Exercises, JDBC Connectivity, SQL Queries and Operations, Database Schema Design, Building Simple Database Applications |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MSTS3C09 | Design and Analysis of Algorithms | Core | 4 | Algorithm Design Paradigms, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Backtracking and Branch & Bound, NP-Completeness and Approximation Algorithms |
| MSTS3C10 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| MSTS3C11 | Web Technologies | Core | 4 | HTML5 and CSS3, JavaScript and DOM, XML and AJAX, Server-Side Scripting Concepts, Web Services and APIs, Web Security Fundamentals |
| MSTS3L01 | Lab III (Web Technologies) | Lab | 3 | Client-Side Web Development, Server-Side Scripting, Database Integration with Web Applications, Building Dynamic Web Pages, Web Application Deployment |
| MSTS3E01.1 | Data Warehousing and Mining | Elective | 2 | Data Warehouse Architecture, OLAP Operations, Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Techniques |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MSTS4C12 | Cloud Computing | Core | 4 | Cloud Computing Paradigms, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security and Privacy, Big Data in Cloud |
| MSTS4E02.6 | Internet of Things | Elective | 4 | IoT Architecture and Design, Sensors, Actuators, and Devices, IoT Communication Protocols, IoT Platforms and Cloud Integration, IoT Data Analytics, IoT Security and Applications |
| MSTS4P03 | Lab IV (Advanced Programming) | Lab | 2 | Advanced Programming Concepts, Cloud Application Development, Big Data Processing Techniques, IoT Device Programming, Machine Learning Implementations |
| MSTS4PJ01 | Project Work | Project | 8 | Project Planning and Management, System Analysis and Design, Software Development Life Cycle, Testing and Quality Assurance, Documentation and Presentation, Real-World Problem Solving |
