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M-TECH in Software Engineering at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Software Engineering at SRM Institute of Science and Technology Chengalpattu?
This Software Engineering program at SRM Institute of Science and Technology focuses on equipping students with advanced knowledge and practical skills for designing, developing, and managing complex software systems. It aligns with the growing demands of the Indian IT industry for skilled professionals capable of building robust and scalable software solutions. The curriculum emphasizes both theoretical foundations and hands-on experience in cutting-edge technologies like cloud computing, machine learning, and secure software development.
Who Should Apply?
This program is ideal for engineering graduates with a background in Computer Science, IT, or related fields who aspire to become software architects, lead developers, or technical project managers. It also suits working professionals seeking to upskill in modern software development practices, cloud computing, and machine learning. Candidates with a passion for building innovative and high-quality software solutions for the Indian and global markets will thrive in this specialization.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Senior Software Engineers, DevOps Specialists, Cloud Architects, Machine Learning Engineers, or Cybersecurity Analysts in top Indian and multinational companies. Entry-level salaries typically range from INR 6-10 lakhs per annum, with experienced professionals earning significantly more in India''''s competitive tech landscape. The program prepares students for leadership roles in product development, advanced data analytics, and IT consulting.
Student Success Practices
Foundation Stage
Master Advanced Data Structures and Algorithms- (Semester 1-2)
Dedicate significant time to understanding and implementing complex data structures and algorithms covered in core subjects. Utilize online platforms like HackerRank, LeetCode, and GeeksforGeeks for consistent practice and competitive programming. This strengthens fundamental problem-solving abilities crucial for technical interviews and efficient software development.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on DSA
Career Connection
Strong DSA skills are a primary requirement for software development roles in product-based companies and tech giants, directly impacting placement success and career growth in India''''s competitive job market.
Build a Strong Software Engineering Foundation- (Semester 1-2)
Actively participate in coursework related to Advanced Software Engineering and Object-Oriented System Design. Apply theoretical concepts through mini-projects and case studies to gain practical experience. Focus on understanding software development life cycles, design patterns, and quality assurance principles by collaborating with peers on small-scale projects.
Tools & Resources
UML tools (e.g., StarUML, Visual Paradigm), GitHub for version control, Agile project management tools (e.g., Trello, Jira)
Career Connection
This foundation is essential for roles in software development, quality assurance, and project management, enabling graduates to contribute effectively to real-world software projects in the Indian IT sector.
Engage in Early Machine Learning Explorations- (Semester 1-2)
Beyond classroom learning in Machine Learning Algorithms, explore practical applications using Python libraries. Participate in Kaggle competitions or develop small ML projects to gain hands-on experience with data preprocessing, model training, and evaluation. This builds a practical understanding of AI/ML concepts and their real-world impact.
Tools & Resources
Python (Scikit-learn, TensorFlow, Keras), Jupyter Notebooks, Kaggle.com, Coursera/edX ML courses
Career Connection
Early exposure to ML provides a competitive edge for roles in AI/ML engineering, data science, and analytics, which are high-demand and high-growth areas in the Indian technology industry.
Intermediate Stage
Gain Expertise in Cloud and Distributed Systems- (Semester 3-4)
Deep dive into Cloud Computing concepts by pursuing certifications from major cloud providers like AWS, Azure, or Google Cloud. Work on projects involving deployment of applications on cloud platforms, managing virtualized environments, and understanding cloud security best practices. This prepares students for cloud-native development and infrastructure roles.
Tools & Resources
AWS Educate/Certifications, Azure Student Grants, Google Cloud Platform free tier, Docker, Kubernetes
Career Connection
Cloud skills are highly sought after for Cloud Architects, DevOps Engineers, and Solution Architects roles in India''''s rapidly expanding cloud services market, offering excellent salary and growth prospects.
Develop Specialized Skills through Electives and Projects- (Semester 3-4)
Strategically choose electives that align with personal interests and career aspirations (e.g., Cybersecurity, Big Data Analytics, Agile Methodologies). Actively engage in Project Phase I by selecting a challenging problem, conducting thorough research, and developing a robust methodology. Seek mentorship from faculty and industry professionals.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), Domain-specific IDEs and libraries, Git for collaborative development
Career Connection
Specialized skills make you a niche candidate for specific roles, while robust project experience provides tangible evidence of your problem-solving and implementation capabilities to Indian employers.
Participate in Tech Competitions and Workshops- (Semester 3-4)
Actively participate in hackathons, coding competitions, and technical workshops organized by SRMIST or external organizations. This provides exposure to industry challenges, fosters teamwork, and helps in building a professional network. Present technical papers or project outcomes in internal/external seminars and conferences.
Tools & Resources
Devpost, Major League Hacking (MLH), Institution''''s research groups and clubs, Local tech meetups
Career Connection
Participation showcases your practical skills, innovation, and ability to work under pressure, significantly boosting your resume for internships and full-time positions in India''''s tech ecosystem.
Advanced Stage
Excel in Final Year Project and Research- (Semester 4)
Dedicate comprehensive effort to Project Phase II, focusing on developing a high-quality, impactful solution. Aim for publication in reputable conferences or journals if the project has research novelty. Document your work meticulously in a thesis and prepare for a strong viva-voce defense, demonstrating mastery of your chosen domain and research capabilities.
Tools & Resources
LaTeX for thesis writing, Plagiarism checkers, Grammarly, Conference submission platforms
Career Connection
A successful and well-documented final project is a key differentiator, providing a strong portfolio piece and showcasing advanced problem-solving, implementation, and research skills to potential employers.
Intensive Placement and Interview Preparation- (Semester 4)
Begin intensive preparation for campus placements well in advance. Practice aptitude tests, technical coding rounds, group discussions, and HR interviews. Leverage SRMIST''''s dedicated placement training resources, alumni network, and mock interview sessions. Tailor your resume and cover letter to specific job roles and company requirements.
Tools & Resources
SRMIST Placement Cell workshops, Online aptitude test platforms (e.g., Indiabix), Mock interview platforms, LinkedIn for networking
Career Connection
Focused and comprehensive preparation directly leads to securing desirable job offers in leading tech companies and startups across India, ensuring a smooth and successful transition into your professional career.
Build a Professional Network and Personal Brand- (Semester 3-4 (ongoing))
Actively network with alumni, faculty, and industry professionals through LinkedIn, conferences, and career fairs. Maintain an updated online portfolio (e.g., GitHub, personal website) showcasing your projects and skills. Engage in open-source contributions to demonstrate practical expertise and collaborative abilities, making you visible to recruiters.
Tools & Resources
LinkedIn, GitHub, Personal portfolio website builders (e.g., Squarespace, WordPress), Professional meetups and industry events
Career Connection
A strong professional network opens doors to referrals, mentorship, and unadvertised job opportunities, fostering long-term career growth and industry visibility in the dynamic Indian IT sector.
Program Structure and Curriculum
Eligibility:
- B.Tech / B.E in relevant discipline with valid GATE score or B.Tech / B.E / MCA / M.Sc. in relevant discipline with minimum of 60% or 6.5 CGPA from a recognized University or equivalent. Specific relevant disciplines typically include Computer Science, Information Technology, Software Engineering, ECE, EEE.
Duration: 2 years (4 semesters)
Credits: 60 Credits
Assessment: Internal: 50% (Theory), 70% (Laboratory/Project), External: 50% (Theory), 30% (Laboratory/Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PSEC21001 | Advanced Data Structures and Algorithms | Core | 3 | Mathematical Preliminaries for Algorithm Analysis, Advanced Data Structures (Heaps, AVL Trees, B-Trees), Graph Algorithms (Shortest Paths, Minimum Spanning Trees), Network Flow Algorithms, Dynamic Programming Techniques |
| PSEC21002 | Advanced Software Engineering | Core | 3 | Software Process Models and Agile Methodologies, Requirements Engineering and Management, Software Design Principles and Patterns, Software Testing Strategies and Techniques, Software Project Planning and Management |
| PSEC21003 | Machine Learning Algorithms | Core | 3 | Introduction to Machine Learning Paradigms, Supervised Learning (Regression, Classification Models), Unsupervised Learning (Clustering, Dimensionality Reduction), Neural Networks and Deep Learning Fundamentals, Model Evaluation, Validation, and Hyperparameter Tuning |
| PSEC21004 | Object Oriented System Design | Core | 3 | Object-Oriented Concepts and Principles, Unified Modeling Language (UML) Diagrams, Design Patterns (Creational, Structural, Behavioral), Architectural Design and Best Practices, Case Studies in Object-Oriented Analysis and Design |
| PSEC21005 | Advanced Data Structures and Algorithms Lab | Lab | 2 | Implementation of Trees, Heaps, and Hashing, Graph Traversal and Shortest Path Algorithms, Dynamic Programming Applications, Network Flow Algorithm Implementation, Divide and Conquer Algorithm Solutions |
| PSEC21006 | Machine Learning Algorithms Lab | Lab | 2 | Python for Machine Learning and Data Preprocessing, Implementing Supervised Learning Algorithms, Applying Unsupervised Learning Techniques, Neural Network Implementation with Frameworks, Model Evaluation, Visualization, and Interpretation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PSEC21007 | Cloud Computing | Core | 3 | Cloud Computing Paradigms and Service Models (IaaS, PaaS, SaaS), Virtualization Technologies and Containerization, Cloud Deployment Models (Public, Private, Hybrid), Cloud Security Challenges and Solutions, Distributed Systems and Cloud Architecture Design |
| PSEC21008 | Information Security | Core | 3 | Introduction to Cryptography and Network Security, Authentication, Authorization, and Access Control, Security Protocols (SSL/TLS, IPSec), Cyber Forensics and Incident Response, Software and Web Application Security |
| PSEC21009 | Software Architecture | Core | 3 | Fundamentals of Software Architecture Design, Architectural Styles and Patterns, Quality Attributes in Software Architecture, Architectural Description Languages, Software Product Lines and System-of-Systems Architectures |
| PSEC21010 | Research Methodology and IPR | Core | 3 | Introduction to Research Methodology and Design, Hypothesis Formulation and Experimental Design, Data Collection, Analysis, and Interpretation, Technical Writing, Ethical Considerations, and Publication, Intellectual Property Rights, Patents, and Copyrights |
| PSEC21011 | Cloud Computing Lab | Lab | 2 | Setting up Cloud Environments (AWS/Azure/GCP), Deployment and Management of Virtual Machines, Implementing Storage and Database Services in Cloud, Developing and Deploying Serverless Applications, Cloud Resource Monitoring and Cost Optimization |
| PSEC21012 | Software Architecture Lab | Lab | 2 | UML for Architectural Modeling and Documentation, Implementing Architectural Patterns (e.g., MVC, Microservices), Analyzing and Addressing Quality Attributes, Architectural Design for Scalability and Reliability, Tools for Architectural Design and Analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PSEC21E01 | Software Project Management | Elective | 3 | Software Project Planning and Estimation, Project Scheduling, Tracking, and Control, Risk Management in Software Projects, Resource Management and Team Organization, Software Project Closure and Post-Mortem Analysis |
| PSEC21E02 | Software Reliability | Elective | 3 | Software Reliability Concepts and Metrics, Software Reliability Models and Prediction, Fault Tolerance and Error Recovery, Reliability Growth Models, Software Quality and Reliability Assurance |
| PSEC21E03 | Software Quality Assurance | Elective | 3 | Quality Concepts and Software Quality Standards (ISO, CMMI), Software Quality Assurance Activities and Audits, Software Testing Levels and Techniques, Quality Metrics and Measurement, Process Improvement and Configuration Management |
| PSEC21E04 | Agile Methodologies | Elective | 3 | Agile Principles and Manifesto, Scrum Framework (Roles, Events, Artifacts), Extreme Programming (XP) Practices, Kanban and Lean Software Development, Scaling Agile and DevOps Integration |
| PSEC21E05 | Human Computer Interaction | Elective | 3 | HCI Fundamentals and Design Principles, User Interface Design and Usability, Usability Evaluation Methods, Interaction Styles and Paradigms, Cognitive Psychology in HCI |
| PSEC21E06 | Software Metrics | Elective | 3 | Introduction to Software Measurement, Size-Oriented Metrics and Function-Oriented Metrics, Quality Metrics (Defect Density, Reliability), Metrics for Project and Process Management, Cost Estimation Models (COCOMO) |
| PSEC21E07 | Secure Software Engineering | Elective | 3 | Software Security Principles and Best Practices, Threat Modeling and Risk Assessment, Secure Coding Practices and Common Vulnerabilities, Security Testing (Static and Dynamic Analysis), Security in Software Development Lifecycle |
| PSEC21E08 | Requirement Engineering | Elective | 3 | Requirements Elicitation Techniques, Requirements Analysis and Modeling, Requirements Specification and Documentation, Requirements Validation and Verification, Requirements Management and Traceability |
| PSEC21E09 | Formal Methods in Software Engineering | Elective | 3 | Introduction to Formal Methods and Logic, Set Theory and Predicate Logic in Software, Formal Specification Languages (Z, VDM), Model Checking and Theorem Proving, Formal Verification Techniques and Tools |
| PSEC21E10 | Web Engineering | Elective | 3 | Web Application Architectures and Design, Web Design and Development Methodologies, Client-Side and Server-Side Scripting, Web Security and Performance Optimization, Web Services and APIs (RESTful, SOAP) |
| PSEC21E11 | Software Testing and Quality | Elective | 3 | Software Testing Fundamentals and Principles, Black Box and White Box Testing Techniques, Test Automation and Test Management Tools, Performance Testing and Security Testing, Quality Assurance in Software Development Life Cycle |
| PSEC21E12 | Software Configuration Management | Elective | 3 | SCM Concepts and Principles, Configuration Identification and Version Control Systems (Git, SVN), Change Management and Release Management, Configuration Auditing and Status Accounting, SCM Tools and Best Practices |
| PSEC21E13 | Service Oriented Architecture | Elective | 3 | SOA Principles and Concepts, Web Services (SOAP, WSDL, UDDI), RESTful Services and Microservices Architecture, Service Design, Composition, and Orchestration, SOA Security, Governance, and Best Practices |
| PSEC21E14 | Big Data Analytics | Elective | 3 | Introduction to Big Data Ecosystem and Challenges, Hadoop Ecosystem (HDFS, MapReduce, YARN), NoSQL Databases (MongoDB, Cassandra), Stream Processing (Spark Streaming, Flink), Big Data Visualization and Tools |
| PSEC21E15 | Data Mining and Data Warehousing | Elective | 3 | Data Warehousing Concepts (OLAP, ETL, Schemas), Data Mining Techniques (Classification, Clustering), Association Rule Mining, Web Data Mining and Text Mining, Big Data Mining Tools and Applications |
| PSEC21E16 | Internet of Things | Elective | 3 | IoT Architecture and Communication Protocols, IoT Devices, Sensors, and Actuators, IoT Data Analytics and Cloud Integration, IoT Security and Privacy Concerns, Applications of IoT in various domains |
| PSEC21E17 | Block Chain Technologies | Elective | 3 | Blockchain Fundamentals and Cryptographic Primitives, Distributed Ledger Technologies (DLT), Consensus Mechanisms (PoW, PoS, DPoS), Smart Contracts and Decentralized Applications (DApps), Blockchain Platforms (Ethereum, Hyperledger) and Use Cases |
| PSEC21E18 | Digital Forensics | Elective | 3 | Introduction to Digital Forensics and Investigation Process, Forensic Data Acquisition and Preservation, Operating System and File System Forensics, Network and Mobile Device Forensics, Legal and Ethical Issues in Digital Forensics |
| PSEC21E19 | Cyber Physical Systems | Elective | 3 | CPS Architecture and Components, Sensing, Actuation, and Control Systems, Real-time Operating Systems and Embedded Programming, CPS Security and Privacy Challenges, Applications of CPS (Smart Grids, Autonomous Systems) |
| PSEC21E20 | Virtual and Augmented Reality | Elective | 3 | VR/AR Fundamentals and Technologies, 3D Graphics and Rendering for VR/AR, Interaction Techniques in Virtual and Augmented Environments, VR/AR Hardware and Software Platforms, Applications and Ethical Considerations of VR/AR |
| PSEC21E21 | Deep Learning Techniques | Elective | 3 | Neural Network Architectures and Backpropagation, Convolutional Neural Networks (CNNs) for Image Processing, Recurrent Neural Networks (RNNs) for Sequence Data, Generative Adversarial Networks (GANs), Deep Learning Frameworks (TensorFlow, PyTorch) and Applications |
| PSEC21E22 | Quantum Computing | Elective | 3 | Quantum Mechanics Fundamentals and Qubits, Quantum Gates and Circuits, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Error Correction, Quantum Hardware Architectures and Future Prospects |
| PSEC21E23 | Computer Vision | Elective | 3 | Image Formation and Filtering Techniques, Feature Detection and Matching, Object Recognition and Tracking, Image Segmentation and Scene Understanding, Deep Learning for Computer Vision Applications |
| PSEC21E24 | Natural Language Processing | Elective | 3 | NLP Fundamentals (Tokenization, POS Tagging), Text Representation (Word Embeddings, Vector Space Models), Language Models and Generative AI, Machine Translation and Sentiment Analysis, Text Classification and Information Extraction |
| PSEC21E25 | Social Network Analysis | Elective | 3 | Graph Theory Fundamentals for Social Networks, Network Structure and Properties (Degree, Density), Centrality Measures (Betweenness, Closeness, Eigenvector), Community Detection and Link Prediction, Applications of SNA in various fields |
| PSEC21PE1 | Project Phase I | Project | 2 | Problem Identification and Scope Definition, Extensive Literature Review and Gap Analysis, Methodology Design and Planning, Preliminary Design and Prototyping, Interim Report Preparation and Presentation |
| PSEC21TS1 | Technical Seminar | Core | 2 | Selection of Advanced Research Topics, In-depth Study of Research Papers, Public Speaking and Presentation Skills Development, Technical Report Writing and Documentation, Critique and Analysis of Technical Information |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PSEC21PE2 | Project Phase II | Project | 16 | System Implementation and Development, Comprehensive Testing and Validation, Performance Analysis and Optimization, Final Documentation, Thesis Submission, and Plagiarism Check, Viva Voce Examination and Defense |
