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B-SC in Computer Science at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Computer Science at SRM Institute of Science and Technology Chengalpattu?
This B.Sc. Computer Science program at SRM Institute of Science and Technology, Chengalpattu, focuses on building a strong foundation in core computational principles and modern technologies. It emphasizes practical skills crucial for the rapidly evolving Indian IT industry, preparing students for dynamic roles in software development, data analytics, and emerging tech. The curriculum is designed to balance theoretical knowledge with hands-on experience and real-world application.
Who Should Apply?
This program is ideal for high school graduates with a keen interest in logic, problem-solving, and technology, seeking entry into the diverse field of computer science. It also caters to individuals aiming for software engineering, data science, or cyber security careers. Students from a science background with mathematics or computer science are particularly well-suited for this rigorous and rewarding curriculum, fostering innovative and analytical minds.
Why Choose This Course?
Graduates of this program can expect to secure roles as software developers, data analysts, web developers, or junior AI engineers in top Indian IT firms and startups. Entry-level salaries typically range from INR 3.5 to 6 LPA, with significant growth potential as they gain experience. The program aligns with industry demand for skilled professionals, offering pathways to specialized certifications in areas like cloud computing or ethical hacking, boosting career trajectories.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time daily to practice C/C++ programming concepts by solving problems on platforms like HackerRank, GeeksforGeeks, and CodeChef. Understand data structures deeply, as they form the backbone of efficient algorithms. Participate in coding challenges to build logic and speed, ensuring a solid base for advanced topics.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, Visual Studio Code, GNU GCC Compiler
Career Connection
Strong programming fundamentals are non-negotiable for entry-level software development and competitive programming roles during placements in Indian IT companies.
Build a Strong Academic Base- (Semester 1-2)
Focus on understanding core subjects like Discrete Mathematics, Digital Fundamentals, and Computer Organization thoroughly. Attend all lectures, engage in peer study groups, and clarify doubts promptly with faculty. Consistent academic performance sets a strong base for advanced topics and demonstrates dedication to learning.
Tools & Resources
Textbooks, Lecture Notes, Academic Support Sessions, Online Tutorials (NPTEL for conceptual clarity)
Career Connection
A solid academic foundation is often assessed during technical interviews and is crucial for excelling in higher-level courses, specialized fields, and future research opportunities.
Develop Effective Study Habits- (Semester 1-2)
Cultivate disciplined study routines, including regular revisions and mock tests. Practice time management and stress reduction techniques to optimize learning. Join student clubs related to computer science to foster collaborative learning and teamwork, enhancing your overall academic experience.
Tools & Resources
Notion, Google Calendar for scheduling, SRMIST Student Clubs (e.g., CSI student chapter)
Career Connection
Good study habits translate to better project management skills, professional discipline, and critical thinking, which are all valuable traits in any IT role in India.
Intermediate Stage
Engage in Practical Application & Mini Projects- (Semester 3-5)
Actively apply theoretical knowledge by developing mini-projects in Java, Python, and web technologies. Focus on creating functional applications for real-world problems. Explore open-source projects on GitHub and contribute to them to gain practical experience and showcase your coding abilities.
Tools & Resources
GitHub, VS Code, Java IDE (Eclipse/IntelliJ), Python (Anaconda), Web Frameworks (e.g., Flask, Django)
Career Connection
Practical project experience is highly valued by recruiters in India, demonstrating problem-solving abilities, hands-on skills, and a proactive learning attitude.
Seek Industry Exposure & Internships- (Semester 4-5 (Summer breaks))
Proactively search for internships during semester breaks at startups or established IT companies. Even short-term internships provide invaluable exposure to industry workflows, tools, and best practices. Network with professionals through platforms like LinkedIn to discover opportunities and build connections.
Tools & Resources
LinkedIn, Internshala, Company Career Pages, SRMIST Placement Cell
Career Connection
Internships often convert into pre-placement offers (PPOs) or provide crucial experience for full-time job applications, significantly improving your placement prospects.
Specialize in Emerging Technologies- (Semester 4-5)
Begin exploring specialized areas like Data Analytics, AI, or IoT based on your interest. Take online courses from platforms like Coursera or NPTEL, or participate in workshops to build expertise beyond the curriculum. Work on advanced projects in your chosen area of specialization to deepen your knowledge.
Tools & Resources
Coursera, NPTEL, Kaggle for datasets, Specialized Libraries (e.g., TensorFlow, Scikit-learn)
Career Connection
Specialization makes you a more attractive candidate for niche roles and high-demand areas in the Indian tech market, commanding better salary packages and growth.
Advanced Stage
Focus on Capstone Project & Portfolio Building- (Semester 6)
Dedicate significant effort to the final year project, aiming for a robust, innovative solution to a real-world problem. Document your project thoroughly, including design, implementation, and results. Build a strong online portfolio showcasing all your projects, coding challenges, and skills.
Tools & Resources
GitHub, Personal Website/Portfolio Builder (e.g., Hashnode, WordPress), Project Management Tools
Career Connection
A well-executed capstone project and comprehensive portfolio are critical differentiators during placements, demonstrating your capability to deliver end-to-end solutions and practical expertise.
Intensify Placement Preparation- (Semester 5-6)
Start rigorous preparation for placements, including extensive practice of aptitude, logical reasoning, verbal ability, and technical interview questions (DSA, OOPs, DBMS, OS, Networking). Participate in mock interviews and group discussions to hone your communication and problem-solving skills.
Tools & Resources
PrepInsta, GeeksforGeeks Interview Section, LeetCode, Company-specific Test Platforms
Career Connection
Direct and significant impact on securing placements in desired companies and roles, especially in the highly competitive Indian IT recruitment landscape.
Network and Seek Mentorship- (Semester 5-6)
Expand your professional network by attending industry events, webinars, and alumni meetups. Connect with mentors who can guide your career path, offer insights into different roles, and provide valuable advice for career progression in India. Leverage the SRMIST alumni network for opportunities.
Tools & Resources
LinkedIn, Industry Conferences (virtual/physical), SRMIST Alumni Network
Career Connection
Networking opens doors to referrals, hidden job opportunities, and long-term career guidance, which are crucial for navigating and advancing in the Indian job market.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 (or equivalent) with Physics, Chemistry, and Mathematics/Computer Science as subjects.
Duration: 3 years / 6 semesters
Credits: 130 Credits
Assessment: Internal: 50% (for theory courses), External: 50% (for theory courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ULC1501 | Communicative English | Core | 3 | Basic Grammar, Reading Comprehension, Writing Skills, Oral Communication, Vocabulary Building |
| UCY1501 | Environmental Science | Core | 3 | Natural Resources, Ecosystems, Biodiversity, Environmental Pollution, Social Issues and Environment |
| UCS1501 | Programming in C | Core | 3 | C Fundamentals, Control Structures, Arrays & Strings, Functions, Pointers, Structures & Unions |
| UCS1502 | Digital Fundamentals | Core | 3 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| UCS1503 | Discrete Mathematics | Core | 4 | Logic, Set Theory, Relations & Functions, Graph Theory, Combinatorics |
| UCS1504 | Programming in C Lab | Lab | 2 | C Programming Practice, Debugging, Problem Solving using C |
| UCS1505 | Digital Fundamentals Lab | Lab | 2 | Logic Gates Experiments, Combinational Circuits Implementation, Sequential Circuits Implementation |
| UVC1501 | Value Education | Mandatory Non-Credit Course | 0 | Human Values, Ethics, Personality Development, Social Responsibility |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ULC1502 | Advanced English | Core | 3 | Advanced Grammar, Report Writing, Presentation Skills, Group Discussions, Soft Skills |
| UCC1501 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching |
| UCC1502 | Object Oriented Programming with C++ | Core | 3 | OOP Concepts, Classes & Objects, Inheritance, Polymorphism, Virtual Functions, Templates |
| UCC1503 | Computer Organization and Architecture | Core | 3 | Basic Computer Architecture, CPU Design, Memory Organization, I/O Organization, Pipelining |
| UCC1504 | Operating Systems | Core | 3 | OS Concepts, Process Management, Memory Management, File Systems, I/O Systems |
| UCC1505 | Data Structures Lab | Lab | 2 | Implementation of Data Structures, Algorithm Analysis, Dynamic Memory Allocation |
| UCC1506 | Object Oriented Programming with C++ Lab | Lab | 2 | C++ Program Development, OOP concepts implementation, Debugging C++ applications |
| UCC1507 | Hardware and Operating Systems Lab | Lab | 2 | PC Assembly, OS Installation, Shell Scripting, Linux Commands |
| UVC1502 | Physical Education | Mandatory Non-Credit Course | 0 | Fitness, Sports, Healthy Lifestyle, Yoga, Recreational Activities |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ULC1503 | Professional Skills for Employability | Core | 3 | Communication Skills, Interview Skills, Resume Writing, Corporate Etiquette, Aptitude Training |
| UCC1508 | Database Management Systems | Core | 3 | DBMS Concepts, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| UCC1509 | Java Programming | Core | 3 | Java Fundamentals, OOP in Java, Exception Handling, Multithreading, AWT/Swing |
| UCC1510 | Computer Networks | Core | 3 | Network Topologies, OSI/TCP-IP Models, Network Protocols, Network Devices, Network Security Basics |
| UCC1511 | Software Engineering | Core | 3 | SDLC, Requirement Engineering, Software Design, Software Testing, Project Management, Agile Methodologies |
| UCC1512 | Database Management Systems Lab | Lab | 2 | SQL Queries, Database Design, PL/SQL Programming |
| UCC1513 | Java Programming Lab | Lab | 2 | Java Application Development, GUI Programming, Applet Programming |
| UCC1514 | Web Technology Lab | Lab | 3 | HTML, CSS, JavaScript, Web Server Basics, PHP/Python for Web |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ULC1504 | Corporate Communication | Core | 3 | Business Communication, Professional Writing, Intercultural Communication, Ethics in Communication, Public Speaking |
| UCC1515 | Python Programming | Core | 3 | Python Basics, Data Structures in Python, Functions & Modules, Object-Oriented Python, File I/O |
| UCC1516 | Data Analytics | Core | 3 | Data Collection, Data Preprocessing, Data Visualization, Statistical Analysis, Predictive Modeling |
| UCC1517 | Artificial Intelligence | Core | 3 | AI Fundamentals, Problem Solving Agents, Knowledge Representation, Machine Learning Basics, Expert Systems |
| UCC1518 | Cryptography and Network Security | Core | 3 | Security Attacks, Symmetric/Asymmetric Ciphers, Hashing Algorithms, Digital Signatures, Firewalls and IDS |
| UCC1519 | Python Programming Lab | Lab | 2 | Python Scripting, Data Analysis using Libraries, Web Scraping |
| UCC1520 | Data Analytics Lab | Lab | 2 | Data Manipulation using Pandas, Data Visualization using Matplotlib/Seaborn, Statistical Analysis using R/Python |
| UCC1521 | Artificial Intelligence Lab | Lab | 2 | AI Algorithm Implementation, Logic Programming (Prolog), Search Algorithms Implementation |
| UCS15E | Program Elective I | Elective | 2 | Mobile OS Architectures, UI/UX Design Principles, Android/iOS Development Fundamentals, Data Storage in Mobile, API Integration |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCC1522 | Advanced Java Programming | Core | 3 | JDBC, Servlets, JSP, JavaBeans, Spring Framework Basics, RESTful Web Services with Java |
| UCC1523 | Data Warehousing and Data Mining | Core | 3 | Data Warehouse Architecture, OLAP, Data Preprocessing, Classification, Clustering, Association Rule Mining |
| UCC1524 | Internet of Things | Core | 3 | IoT Architecture, Sensors & Actuators, Communication Protocols, IoT Platforms (e.g., Arduino, Raspberry Pi), Security and Privacy in IoT |
| UCC1525 | Web Services | Core | 3 | Service Oriented Architecture (SOA), XML and JSON, SOAP Web Services, RESTful Services, WSDL and UDDI, API Security |
| UCC1526 | Advanced Java Programming Lab | Lab | 2 | Web Application Development with Servlets/JSP, Database Connectivity using JDBC, Enterprise Java Bean applications |
| UCC1527 | Data Warehousing and Data Mining Lab | Lab | 2 | Data Cleaning and Integration, ETL Processes, Data Mining Tools (Weka/RapidMiner), Implementation of Mining Algorithms |
| UCC1528 | Internet of Things Lab | Lab | 2 | Sensor Interfacing with Microcontrollers, IoT Device Programming (Arduino/Raspberry Pi), Cloud Integration for IoT Data |
| UCS15E | Program Elective II | Elective | 2 | Cloud Computing Models (IaaS, PaaS, SaaS), Virtualization Technologies, AWS/Azure/GCP Fundamentals, Cloud Security, Containerization (Docker, Kubernetes) |
| UCS15E | Program Elective III | Elective | 3 | Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases (MongoDB, Cassandra), Data Streaming Technologies, Big Data Tools and Techniques |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCC1529 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation & Selection, Reinforcement Learning Fundamentals |
| UCC1530 | Mobile Application Development | Core | 3 | Android Studio Basics, UI Components & Layouts, Activity Lifecycle, Data Storage in Android, Networking & API Integration, Notifications and Permissions |
| UCS15E | Program Elective IV | Elective | 3 | Ethical Hacking, Malware Analysis, Penetration Testing, Incident Response, Cyber Forensics |
| UCC1531 | Machine Learning Lab | Lab | 2 | ML Algorithm Implementation (Scikit-learn), Data Preprocessing for ML, TensorFlow/PyTorch Basics, Model Training and Evaluation |
| UCC1532 | Mobile Application Development Lab | Lab | 2 | Android App Development, UI/UX Implementation, Integration with Backend Services |
| UCC15P1 | Project Work | Project | 4 | Problem Definition, System Design, Implementation, Testing and Debugging, Project Report and Presentation |
