.png&w=1920&q=75)
M-TECH in Soft Engineering at JSS Science and Technology University
Mysuru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Soft Engineering at JSS Science and Technology University Mysuru?
This M.Tech in Software Engineering program at JSS Science and Technology University (SJCE), Mysuru, is meticulously designed to equip students with advanced theoretical knowledge and practical skills essential for navigating the complex landscape of modern software development. The curriculum focuses on critical areas such as secure software engineering, architecture, quality assurance, and project management. In the context of India''''s booming digital economy and its position as a global IT hub, the program addresses the urgent demand for highly skilled software professionals who can innovate, design, and deliver robust and scalable software solutions for diverse industries, from fintech to healthcare and e-commerce, driving technological advancements within the nation.
Who Should Apply?
This program is an excellent choice for ambitious engineering graduates, particularly those holding a B.E. or B.Tech degree in Computer Science, Information Science, Electronics, or related disciplines, who aspire to specialize in the intricate domain of software development. It provides a robust foundation for freshers aiming to enter roles as software architects, senior developers, or quality assurance leads. Furthermore, it is highly beneficial for experienced software professionals looking to upskill, transition into specialized areas like AI in software, cloud-native development, or blockchain, or assume leadership and managerial positions within leading Indian and multinational technology firms. The program welcomes those with a strong analytical mindset and a passion for building cutting-edge software.
Why Choose This Course?
Graduates of this M.Tech program are well-positioned for dynamic and rewarding career paths in India''''s vibrant IT sector. Potential roles include Software Architect, Lead Developer, DevOps Engineer, Software Quality Manager, Project Manager, or Cybersecurity Analyst specializing in software. Entry-level salaries for M.Tech graduates in India typically range from INR 6-10 Lakhs per annum, with experienced professionals and those in specialized roles commanding INR 15-30+ Lakhs. The curriculum is often aligned with skills required for industry-recognized professional certifications such as Project Management Professional (PMP), Certified ScrumMaster (CSM), AWS Certified Solutions Architect, and various cybersecurity certifications, enhancing their professional credibility and growth trajectories.
Student Success Practices
Foundation Stage
Strengthen Core Programming & Data Structures- (Semester 1-2)
Dedicate consistent effort to mastering object-oriented programming principles, advanced data structures, and algorithmic problem-solving. Regularly practice coding on competitive programming platforms and attend supplementary workshops to solidify foundational knowledge.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python/Java IDEs, Book: Cracking the Coding Interview
Career Connection
This practice is crucial for excelling in technical interviews at top-tier product-based companies and building the analytical thinking necessary for designing efficient software solutions.
Develop Software Engineering Fundamentals- (Semester 1-2)
Actively engage in lab sessions and mini-projects to apply theoretical concepts of software engineering, including UML modeling, design patterns, and various testing methodologies. Learn to use industry-standard tools for software development lifecycle management.
Tools & Resources
Enterprise Architect (UML), JUnit/TestNG, Selenium, Git/GitHub, Book: Head First Design Patterns
Career Connection
Building strong fundamentals in these areas is essential for securing roles in software development, quality assurance, and project management, ensuring a solid entry into the IT industry.
Cultivate Research & Communication Skills- (Semester 1-2)
Focus on common courses like Research Methodology and IPR, paying close attention to scientific writing, summarization of research papers, and effective presentation of technical findings. Participate in academic discussions to refine verbal communication.
Tools & Resources
Google Scholar, IEEE Xplore, Grammarly, Microsoft PowerPoint/Canva, Academic journals
Career Connection
These skills are vital for higher studies, R&D positions, and effectively communicating complex technical ideas to diverse audiences in professional settings, both written and oral.
Intermediate Stage
Specialize with Electives & Practical Projects- (Semester 3)
Strategically choose elective subjects that align with your career aspirations (e.g., Cloud Computing, Machine Learning, Agile). Immediately apply the concepts learned in these electives to academic projects, hackathons, or personal development initiatives.
Tools & Resources
AWS/Azure Free Tier accounts, TensorFlow/PyTorch, Jira/Trello for Agile projects, Relevant programming libraries and frameworks
Career Connection
This targeted approach helps build a specialized profile, making you a more attractive candidate for specific roles like Cloud Engineer, ML Engineer, or Agile Project Lead, enhancing your employability.
Seek Industry Internship- (Semester 3)
Actively pursue and secure an internship in a reputed IT company or startup. Focus on gaining real-world experience by contributing to live projects, understanding organizational workflows, and converting theoretical knowledge into practical, implementable solutions.
Tools & Resources
LinkedIn Jobs, Internshala, College placement cell, Company career portals, Professional resume builders
Career Connection
Internships provide invaluable industry exposure, build professional networks, often lead to pre-placement offers, and significantly strengthen your resume for final placements, making you industry-ready.
Engage in Industry-Relevant Certifications- (Semester 3)
Identify and pursue professional certifications that complement your chosen specialization and academic learning. Examples include AWS Certified Developer, Microsoft Certified: Azure Developer Associate, or Certified ScrumMaster, depending on your focus area.
Tools & Resources
Official certification guides, Online learning platforms (Coursera, Udemy, edX), Practice exams and mock tests
Career Connection
Certifications validate your practical skills and commitment to continuous learning to potential employers, significantly enhancing your employability and demonstrating a proactive approach to career development.
Advanced Stage
Focus on Capstone Project & Thesis- (Semester 4)
Dedicate substantial effort to your final year project. Select a challenging and innovative problem, conduct thorough research, design and implement a robust solution, and meticulously document the entire process in a high-quality thesis. Aim for publishable results.
Tools & Resources
Research databases (ACM, Springer), Project management software, Version control (Git), LaTeX for thesis writing
Career Connection
A strong capstone project showcases your problem-solving abilities, in-depth knowledge, and capability to deliver a significant technical contribution, which is critical for R&D roles and advanced technical positions.
Intensive Placement Preparation- (Semester 4)
Participate in mock interviews, group discussions, and aptitude tests organized by the college placement cell. Develop a compelling resume and portfolio highlighting your projects, internships, and specialized skills. Network actively with industry professionals and alumni.
Tools & Resources
InterviewBit, Pramp (for mock interviews), LinkedIn, College placement cell resources, Resume/portfolio websites
Career Connection
This focused preparation directly translates into securing desirable full-time job offers upon graduation, ensuring a smooth transition from academia to the professional IT workforce.
Develop Professional & Leadership Skills- (Semester 4)
Beyond technical expertise, actively work on enhancing soft skills such as effective communication, teamwork, and leadership. Participate in seminars, workshops, and student clubs, and seek mentorship to develop a well-rounded professional persona.
Tools & Resources
Toastmasters International, Online communication courses, Leadership development workshops, Peer feedback groups
Career Connection
These essential professional skills are crucial for career progression, fostering effective collaboration, and enabling you to assume leadership and managerial roles within the dynamic Indian IT industry.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 4 semesters / 2 years
Credits: 88 Credits
Assessment: Internal: 50% (Continuous Internal Evaluation), External: 50% (Semester End Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MSE11 | Object-Oriented Software Engineering | Core | 4 | Introduction to OO Concepts, UML and Modeling, Object-Oriented Analysis, Object-Oriented Design, Design Patterns |
| 21MSE12 | Software Architecture | Core | 4 | Architecture drivers and concerns, Architectural Views and Styles, Design Patterns in Architecture, Quality Attributes in Software, Architecture Evaluation |
| 21MSE13 | Secure Software Engineering | Core | 4 | Security Fundamentals and Principles, Threat Modeling and Risk Management, Secure Software Design, Secure Coding Practices, Security Testing and Assurance |
| 21MSE14 | Advanced Algorithms | Core | 4 | Algorithm Analysis Techniques, Graph Algorithms and their applications, Dynamic Programming, Greedy Algorithms, NP-Completeness and Approximation Algorithms |
| 21MSE1P1 | Software Engineering Lab | Lab | 2 | UML Modeling Tools, Design Patterns Implementation, Configuration Management Systems, Requirements Management Tools, Software Project Planning Tools |
| 21MSE1P2 | Advanced Algorithms Lab | Lab | 2 | Implementation of Graph Algorithms, Dynamic Programming Solutions, Greedy Algorithm Implementations, Data Structure Applications, Performance Analysis of Algorithms |
| 21MSE1C | Research Methodology & IPR | Common Course | 2 | Research Design and Methods, Data Collection and Analysis, Intellectual Property Rights, Patent Filing and Trademarks, Research Ethics and Plagiarism |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MSE21 | Software Quality Assurance and Testing | Core | 4 | SQA Fundamentals and Principles, Software Testing Techniques, Test Management and Automation, Quality Standards and Metrics, Defect Management |
| 21MSE22 | Software Project Management | Core | 4 | Project Planning and Estimation, Risk Management in Projects, Project Scheduling and Tracking, Configuration Management, Team Management and Communication |
| 21MSE2E1.x | Program Elective 1 (Choose one from the list) | Elective | 4 | Formal Methods in Software Engineering (Formal Specification, Z Notation, Model Checking), Agile Software Development (Scrum, XP, Kanban, Agile Project Management), Machine Learning for Software Engineering (ML Basics, Supervised Learning, ML in Testing), IoT Systems Design (IoT Architecture, Sensors, Protocols, IoT Platforms) |
| 21MSE2E2.x | Program Elective 2 (Choose one from the list) | Elective | 4 | Human-Computer Interaction (HCI Principles, Usability, User-Centered Design), Software Metrics and Reliability (Measurement Theory, Product/Process Metrics, Reliability Models), Cloud Computing (Cloud Models, Virtualization, Cloud Security, Cloud Services), Blockchain Technology (Blockchain Fundamentals, Cryptography, Smart Contracts, DApps) |
| 21MSE2P1 | Software Testing Lab | Lab | 2 | Manual Testing Techniques, Automated Testing Tools (e.g., Selenium), Test Case Design and Execution, Defect Tracking and Reporting, Performance and Security Testing basics |
| 21MSE2P2 | Mini Project | Project | 2 | Problem Definition and Scope, System Design and Architecture, Implementation and Integration, Testing and Validation, Project Report and Presentation |
| 21MSE2C | Research Publications & Presentation Skills | Common Course | 2 | Scientific Writing and Formatting, Plagiarism and Referencing, Effective Presentation Techniques, Data Visualization and Storytelling, Publishing Ethics and Impact |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MSE31 | Software Design Patterns | Core | 4 | Creational Design Patterns, Structural Design Patterns, Behavioral Design Patterns, Anti-Patterns and Refactoring, Pattern Application and Case Studies |
| 21MSE3E3.x | Program Elective 3 (Choose one from the list) | Elective | 4 | Requirements Engineering (Elicitation, Analysis, Specification, Validation), Advanced Databases (Distributed, NoSQL, Data Warehousing, Data Mining), Deep Learning (Neural Networks, CNNs, RNNs, NLP with Deep Learning), Big Data Analytics (Hadoop, Spark, Data Stream Processing, Visualization) |
| 21MSE3E4.x | Program Elective 4 (Choose one from the list) | Elective | 4 | Software Engineering Economics (Cost Estimation, Economic Principles, Risk Analysis), Cyber Physical Systems (CPS Architecture, Sensors, Actuators, Real-time Systems), Natural Language Processing (Text Preprocessing, Semantic Analysis, Machine Translation), Game Theory (Strategic Games, Nash Equilibrium, Cooperative Games) |
| 21MSE3I | Internship | Practical | 8 | Industry Exposure and Experience, Application of Theoretical Knowledge, Problem Solving in Real-world Settings, Professional Communication and Teamwork, Report Writing and Presentation |
| 21MSE3R | Project Work - I | Project | 8 | Literature Survey and Problem Identification, Research Gap Analysis, Methodology Design and Planning, Initial System Design, Preliminary Report Submission |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MSE4R | Project Work - II | Project | 20 | System Implementation and Development, Testing, Debugging, and Validation, Performance Analysis and Evaluation, Thesis Writing and Documentation, Final Presentation and Defense |
