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B-TECH in Information Technology at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Information Technology at SRM Institute of Science and Technology Chengalpattu?
This Information Technology (IT) program at SRM Institute of Science and Technology focuses on equipping students with cutting-edge knowledge in areas like data science, cloud computing, cybersecurity, and IoT. It integrates theoretical foundations with practical application, addressing the dynamic needs of India''''s rapidly expanding digital economy. The curriculum emphasizes problem-solving skills crucial for innovation and technological advancement.
Who Should Apply?
This program is ideal for aspiring software developers, data analysts, network engineers, and IT professionals seeking to master advanced technological concepts. Fresh graduates with a strong aptitude in Physics, Chemistry, and Mathematics (PCM), working professionals aiming to upskill in emerging technologies, and career changers transitioning into the IT sector will find this specialization highly rewarding. It caters to those passionate about creating and managing robust IT solutions.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Software Engineers, Data Scientists, Cloud Architects, Cybersecurity Analysts, and IoT Developers. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum aligns with industry demands, fostering growth trajectories in top Indian IT firms and global MNCs operating within the country.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice problem-solving using C and Java to build a strong programming foundation. Focus on understanding data structures and algorithms, as they are crucial for all advanced IT subjects. Participate in coding competitions to hone skills.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Online Java IDEs
Career Connection
Strong programming skills are foundational for software development roles and ace technical interviews across all IT companies.
Develop Strong Logical and Mathematical Acumen- (Semester 1-2)
Actively engage with discrete mathematics, linear algebra, and probability concepts. These subjects form the backbone for advanced topics like AI, Data Science, and Algorithm Design. Solve application-based problems regularly.
Tools & Resources
Khan Academy, NPTEL lectures, Textbook exercises
Career Connection
Enhances analytical thinking crucial for complex problem-solving in data science, machine learning, and research roles.
Cultivate Effective Communication Skills- (Semester 1-2)
Participate in English and Communication Skills classes actively. Engage in group discussions, presentations, and mock interviews to improve verbal and non-verbal communication. Read widely to expand vocabulary and comprehension.
Tools & Resources
Toastmasters clubs, TED Talks, BBC Learning English, College communication workshops
Career Connection
Essential for team collaboration, client interaction, and successful navigation of interviews and professional communication in the corporate world.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Apply concepts learned in DBMS, OS, Networks, and AI by developing small to medium-scale projects. Focus on practical implementation, demonstrating problem-solving and technical integration skills. Utilize open-source tools and platforms.
Tools & Resources
GitHub, SQL databases (MySQL, PostgreSQL), Python for AI/ML projects, Virtualization software
Career Connection
A robust portfolio is critical for showcasing practical skills to recruiters, significantly boosting internship and placement prospects.
Explore and Specialize through Electives- (Semester 3-5)
Carefully choose professional and open electives based on career interests (e.g., Data Science, Cybersecurity, Cloud). Dive deep into these chosen areas through certifications and self-study, going beyond classroom learning.
Tools & Resources
Coursera, Udemy, NPTEL for specialized courses, Industry certifications (AWS, Azure, Google Cloud, CompTIA)
Career Connection
Specialized knowledge makes you a valuable asset, leading to targeted job roles and better compensation in niche areas of IT.
Engage in Industry Interactions and Workshops- (Semester 3-5)
Attend industry workshops, seminars, and guest lectures to understand current trends and technologies. Network with professionals and faculty to gain insights into real-world challenges and career opportunities.
Tools & Resources
LinkedIn, College career fairs, Industry meetups, Tech conferences
Career Connection
Opens doors to internships, mentorships, and potential job referrals, providing a competitive edge in the job market.
Advanced Stage
Undertake Impactful Major Projects and Internships- (Semester 6-8)
Focus on impactful industrial training or a major project that addresses a real-world problem. Seek internships that provide hands-on experience in your chosen specialization, demonstrating leadership and problem-solving at scale.
Tools & Resources
Industry partners of SRMIST, Professional networks, Project management tools (Jira, Trello)
Career Connection
High-quality projects and internships are direct pathways to full-time employment and offer invaluable practical exposure.
Prepare Rigorously for Placements- (Semester 6-8)
Start dedicated placement preparation, focusing on aptitude, logical reasoning, and technical skills (DSA, OS, DBMS, CN, OOPs). Practice mock interviews, group discussions, and resume building with career services.
Tools & Resources
Placement cell resources, Online aptitude tests, Mock interview platforms, InterviewBit
Career Connection
Strategic preparation significantly improves chances of securing desired job offers with leading companies and achieving higher salary packages.
Cultivate a Strong Professional Network- (Semester 6-8)
Maintain connections with alumni, faculty, and industry professionals. Attend industry events, contribute to open-source projects, and utilize platforms like LinkedIn to expand your professional circle for future career guidance and opportunities.
Tools & Resources
LinkedIn, Alumni association events, Professional conferences
Career Connection
A strong network provides lifelong career support, mentorship, and opens doors to unforeseen opportunities and collaborations.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Chemistry, and Mathematics (PCM) with at least 50% aggregate marks. Admission through SRMJEEE / JEE Main scores. Mathematics in 10+2 is mandatory.
Duration: 8 semesters / 4 years
Credits: 180 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18FD101 / 21FD101 | DISCRETE MATHEMATICS | Foundation | 4 | Sets, Relations, Functions, Logic and Proofs, Counting and Probability, Graph Theory, Algebraic Structures |
| 21IT101 | PROBLEM SOLVING AND PROGRAMMING IN C | Core | 4 | C Fundamentals, Control Structures, Arrays and Strings, Functions and Pointers, Structures, Unions, Files |
| 21IT102 | DIGITAL SYSTEMS | Core | 3 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| 21IT103 | INTRODUCTION TO INFORMATION TECHNOLOGY | Core | 3 | IT Fundamentals, Computer Hardware, Software Concepts, Networking Basics, Cyber Security Basics |
| 21LE101 | ENGLISH | Foundation | 3 | Grammar and Vocabulary, Reading Comprehension, Writing Skills, Oral Communication, Presentation Skills |
| 21GE101 | PROFESSIONAL ETHICS AND HUMAN VALUES | Foundation | 2 | Ethics Principles, Human Values, Professionalism, Environmental Ethics, Global Issues |
| 21IT1L1 | PROBLEM SOLVING AND PROGRAMMING IN C LAB | Core | 1 | C Program Implementation, Debugging Techniques, Conditional Statements, Loop Structures, Array and String Operations |
| 21IT1L2 | DIGITAL SYSTEMS LAB | Core | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Verification of Digital Circuits |
| 21GE102 | ENVIRONMENTAL SCIENCE AND ENGINEERING | Foundation | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Sustainable Development, Environmental Protection Acts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18FD102 / 21FD102 | LINEAR ALGEBRA AND NUMERICAL METHODS | Foundation | 4 | Matrices and Determinants, Vector Spaces, Linear Transformations, Eigenvalues and Eigenvectors, Numerical Methods |
| 21IT201 | OBJECT-ORIENTED PROGRAMMING WITH JAVA | Core | 4 | OOP Concepts, Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling, I/O |
| 21IT202 | DATA STRUCTURES AND ALGORITHMS | Core | 3 | Basic Data Structures, Array and Linked Lists, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21IT203 | COMPUTER ARCHITECTURE | Core | 3 | Processor Organization, Control Unit Design, Memory Hierarchy, Input/Output Organization, Pipelining |
| 21IT204 | BASICS OF ELECTRICAL AND ELECTRONICS ENGINEERING | Core | 3 | DC and AC Circuits, Network Theorems, Semiconductor Devices, Analog Electronics, Digital Electronics Basics |
| 21LE201 | COMMUNICATION SKILLS | Foundation | 2 | Verbal Communication, Non-Verbal Communication, Presentation Techniques, Group Discussions, Interview Skills |
| 21IT2L1 | OBJECT-ORIENTED PROGRAMMING WITH JAVA LAB | Core | 1 | Java Program Implementation, Class and Object Design, Inheritance and Interfaces, Polymorphism Concepts, GUI Programming |
| 21IT2L2 | DATA STRUCTURES AND ALGORITHMS LAB | Core | 1 | Array and List Operations, Tree and Graph Traversals, Implementation of Sorting Algorithms, Implementation of Searching Algorithms |
| 21IT2L3 | BASICS OF ELECTRICAL AND ELECTRONICS ENGINEERING LAB | Core | 1 | Basic Circuit Experimentation, Diode and Transistor Characteristics, Rectifier Circuits, Logic Gate Verification |
| 21GE201 | INDIAN CONSTITUTION | Foundation | 2 | Constitutional Framework, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Government, Electoral Process |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18FD201 / 21FD201 | PROBABILITY AND STATISTICS | Foundation | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| 21IT301 | DATABASE MANAGEMENT SYSTEMS | Core | 3 | Database Concepts, Relational Model, Structured Query Language (SQL), Normalization, Transaction Management |
| 21IT302 | OPERATING SYSTEMS | Core | 3 | OS Overview and Types, Process Management, Memory Management, File Systems, I/O Management |
| 21IT303 | DESIGN AND ANALYSIS OF ALGORITHMS | Core | 3 | Algorithmic Analysis Techniques, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 21IT304 | COMPUTER NETWORKS | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| 21IT3L1 | DATABASE MANAGEMENT SYSTEMS LAB | Core | 1 | SQL Queries, Database Design, Stored Procedures, Triggers and Views, Data Manipulation Language |
| 21IT3L2 | OPERATING SYSTEMS LAB | Core | 1 | Shell Programming, Process Management Commands, Memory Allocation Algorithms, System Calls, CPU Scheduling Algorithms |
| 21IT3L3 | DESIGN AND ANALYSIS OF ALGORITHMS LAB | Core | 1 | Algorithm Implementation, Complexity Analysis, Searching and Sorting, Graph Algorithms Implementation |
| 21IT3L4 | COMPUTER NETWORKS LAB | Core | 1 | Network Simulation Tools, Socket Programming, Protocol Implementation, Network Configuration |
| 21IT305 | UNIVERSAL HUMAN VALUES 2: UNDERSTANDING HARMONY | Foundation | 3 | Self-exploration and Self-awareness, Human-Human Relationship, Family and Society Harmony, Nature and Existence, Holistic Understanding |
| Professional Elective I | Professional Elective I | Elective | 3 | Topics vary based on chosen elective |
| Open Elective I | Open Elective I | Elective | 2 | Topics vary based on chosen elective |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IT401 | SOFTWARE ENGINEERING | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Project Management |
| 21IT402 | WEB PROGRAMMING | Core | 3 | HTML, CSS, JavaScript, Client-Server Architecture, Server-Side Programming, Web Security Fundamentals, Web Frameworks |
| 21IT403 | ARTIFICIAL INTELLIGENCE | Core | 3 | AI Foundations, Search Algorithms, Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing |
| 21IT404 | PRINCIPLES OF COMPILER DESIGN | Core | 3 | Compiler Structure, Lexical Analysis, Syntax Analysis, Semantic Analysis, Code Optimization and Generation |
| 21IT4L1 | SOFTWARE ENGINEERING LAB | Core | 1 | Requirements Gathering Tools, UML Diagrams, Testing Strategies, Project Planning Tools |
| 21IT4L2 | WEB PROGRAMMING LAB | Core | 1 | Frontend Development, Backend Development, Database Integration, API Development |
| 21IT4L3 | ARTIFICIAL INTELLIGENCE LAB | Core | 1 | AI Search Algorithms, Logic Programming, Machine Learning Model Implementation |
| 21IT4L4 | ADVANCED DATA STRUCTURES AND ALGORITHMS LAB | Core | 1 | Advanced Tree Structures, Graph Algorithms, Hashing Techniques, Dynamic Programming |
| Professional Elective II | Professional Elective II | Elective | 3 | Topics vary based on chosen elective |
| Open Elective II | Open Elective II | Elective | 3 | Topics vary based on chosen elective |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IT501 | CLOUD COMPUTING | Core | 3 | Cloud Architecture and Deployment Models, Virtualization Technologies, Cloud Services (IaaS, PaaS, SaaS), Cloud Security and Management, Serverless Computing |
| 21IT502 | DATA SCIENCE | Core | 3 | Data Collection and Cleaning, Exploratory Data Analysis, Statistical Modeling, Machine Learning Algorithms, Data Visualization |
| 21IT503 | SOFTWARE TESTING AND QUALITY ASSURANCE | Core | 3 | Testing Fundamentals, Test Case Design, Black-box and White-box Testing, Quality Assurance Standards, Automated Testing |
| 21IT5L1 | CLOUD COMPUTING LAB | Core | 1 | Cloud Platform Setup, Virtual Machine Management, Cloud Storage Services, Deploying Cloud Applications |
| 21IT5L2 | DATA SCIENCE LAB | Core | 1 | Data Manipulation with Pandas, Statistical Analysis with Python, Data Visualization Libraries, Machine Learning Model Implementation |
| 21IT5L3 | SOFTWARE TESTING AND QUALITY ASSURANCE LAB | Core | 1 | Test Plan Creation, Automated Testing Tools (e.g., Selenium), Defect Tracking Systems, Performance Testing |
| Professional Elective III | Professional Elective III | Elective | 3 | Topics vary based on chosen elective |
| Professional Elective IV | Professional Elective IV | Elective | 3 | Topics vary based on chosen elective |
| Open Elective III | Open Elective III | Elective | 3 | Topics vary based on chosen elective |
| 21IT5P1 | PROFESSIONAL PROJECT I (MINOR PROJECT) | Project | 2 | Project Planning and Management, System Design and Architecture, Implementation and Integration, Testing and Debugging, Documentation and Presentation |
| Value Added Course - 1 | Value Added Course - 1 | Value Added | 1 | Skill Enhancement, Industry Relevant Technologies, Practical Application, Personal Development |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IT601 | DATA WAREHOUSING AND DATA MINING | Core | 3 | Data Warehousing Concepts, OLAP Operations, Data Mining Techniques, Association Rule Mining, Classification and Clustering |
| 21IT602 | CYBER SECURITY | Core | 3 | Cryptography and Network Security, Web Application Security, Malware Analysis, Incident Response, Security Policies |
| 21IT603 | INTERNET OF THINGS | Core | 3 | IoT Architecture, Sensors, Actuators, Microcontrollers, IoT Communication Protocols, Cloud Integration for IoT, IoT Security and Privacy |
| 21IT6L1 | DATA WAREHOUSING AND DATA MINING LAB | Core | 1 | ETL Tools, Data Cube Operations, Classification Algorithm Implementation, Clustering Algorithm Implementation |
| 21IT6L2 | CYBER SECURITY LAB | Core | 1 | Cryptographic Algorithm Implementation, Network Scanning Tools, Penetration Testing Basics, Firewall and IDS Configuration |
| 21IT6L3 | INTERNET OF THINGS LAB | Core | 1 | Sensor Interfacing, Microcontroller Programming, IoT Device Connectivity, IoT Platform Integration |
| Professional Elective V | Professional Elective V | Elective | 3 | Topics vary based on chosen elective |
| Professional Elective VI | Professional Elective VI | Elective | 3 | Topics vary based on chosen elective |
| Open Elective IV | Open Elective IV | Elective | 3 | Topics vary based on chosen elective |
| 21IT6P1 | PROFESSIONAL PROJECT II (MINOR PROJECT) | Project | 2 | Advanced Project Management, Solution Design and Implementation, System Integration, Testing and Validation, Technical Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IT701 | MOBILE APPLICATION DEVELOPMENT | Core | 3 | Android/iOS Architecture, UI/UX Design for Mobile, Mobile App Components, Data Storage and Retrieval, API Integration and Testing |
| 21IT7L1 | MOBILE APPLICATION DEVELOPMENT LAB | Core | 1 | App Development Environments (Android Studio), UI Layouts and Widgets, Event Handling and Activities, Database Integration in Apps |
| 21IT7P1 | INDUSTRIAL TRAINING / PROJECT | Project | 6 | Industry Exposure, Problem Identification and Solving, Project Implementation and Testing, Technical Report Writing, Presentation and Viva-voce |
| Professional Elective VII | Professional Elective VII | Elective | 3 | Topics vary based on chosen elective |
| Professional Elective VIII | Professional Elective VIII | Elective | 3 | Topics vary based on chosen elective |
| Open Elective V | Open Elective V | Elective | 3 | Topics vary based on chosen elective |
| Open Elective VI | Open Elective VI | Elective | 3 | Topics vary based on chosen elective |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IT8P1 | PROJECT WORK | Project | 10 | Research Problem Identification, Detailed Literature Review, System Design and Architecture, Implementation, Testing, and Evaluation, Thesis Writing and Presentation |
