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B-TECH in Computer Science And Engineering at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Computer Science and Engineering at SRM Institute of Science and Technology Chengalpattu?
This Computer Science and Engineering program at SRM Institute of Science and Technology focuses on building a strong foundation in computing principles and applications. It equips students with skills in software development, data science, artificial intelligence, and cybersecurity, vital for India''''s rapidly expanding digital economy. The program emphasizes a blend of theoretical knowledge and practical exposure to meet current industry demands.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in the IT industry. It also caters to those keen on pursuing advanced studies or research in computer science. Individuals interested in developing innovative software solutions, managing large datasets, or securing digital infrastructure will find this specialization highly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, ranging from software developer, data analyst, and cybersecurity engineer to AI/ML specialist. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum aligns with industry certifications, fostering growth trajectories in leading Indian and multinational technology companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand C/C++ or Python programming concepts covered in the first two semesters. Practice extensively on online coding platforms like HackerRank and CodeChef to build problem-solving skills and algorithmic thinking. Active participation in coding clubs helps solidify understanding and exposes students to competitive programming.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, SRMIST Coding Club
Career Connection
A strong grasp of fundamental programming is the bedrock for all advanced computer science roles and is heavily evaluated in early placement rounds for software development and IT services.
Build a Strong Mathematical Base- (Semester 1-2)
Focus on developing robust mathematical skills, especially in calculus, linear algebra, probability, and discrete mathematics. These subjects are critical for understanding advanced algorithms, data science, and machine learning. Utilize university academic support and online resources like Khan Academy for additional practice and conceptual clarity.
Tools & Resources
Khan Academy, NPTEL courses for Engineering Mathematics, University Tutoring Services
Career Connection
Mathematical proficiency is essential for roles in data science, AI/ML engineering, and research, as it underpins the theoretical understanding of complex computational models.
Engage in Peer Learning and Group Study- (Semester 1-2)
Form study groups with peers to discuss difficult concepts, solve problems collaboratively, and prepare for exams. Teaching concepts to others reinforces your own understanding. Participate actively in departmental workshops and introductory tech events to network and learn from seniors.
Tools & Resources
Discord/WhatsApp study groups, SRMIST Tech Clubs, Departmental Workshops
Career Connection
Teamwork and communication skills fostered through group study are highly valued in industry, enhancing your ability to collaborate on projects and articulate ideas effectively.
Intermediate Stage
Undertake Mini Projects and Internships- (Semester 3-5)
Actively seek and complete mini-projects using technologies learned in Data Structures, DBMS, and OOPs. Leverage the university''''s career services to find relevant summer internships after the 4th or 6th semester. Even short-term internships provide invaluable practical exposure and industry insights.
Tools & Resources
GitHub for project showcases, LinkedIn for internship search, SRMIST Career Development Centre
Career Connection
Practical project experience and internships are crucial for building a resume, demonstrating applied skills, and often lead to pre-placement offers, significantly boosting placement prospects.
Specialize through Electives and Online Courses- (Semester 3-5)
Carefully choose professional and open electives based on emerging industry trends and your career interests (e.g., AI, Cybersecurity, Cloud Computing). Supplement classroom learning with MOOCs from platforms like Coursera, Udemy, or edX to gain deeper expertise and certifications in your chosen niche.
Tools & Resources
Coursera, Udemy, NPTEL, edX
Career Connection
Specialized skills make you a more attractive candidate for specific tech roles and higher-paying positions in competitive fields like AI/ML, data science, and cybersecurity.
Participate in Hackathons and Technical Competitions- (Semester 3-5)
Engage in national and international hackathons, coding competitions, and technical challenges. This exposure hones your problem-solving under pressure, teamwork, and ability to rapidly prototype solutions. Platforms like Kaggle are excellent for data science competitions.
Tools & Resources
Devpost, MLH Hackathons, Kaggle, University Tech Fest events
Career Connection
Winning or even participating in such events demonstrates initiative, technical prowess, and resilience, making you stand out to recruiters and opening doors to innovative companies.
Advanced Stage
Focus on Capstone Project & Portfolio Building- (Semester 6-8)
Devote significant effort to your final year project, ensuring it addresses a real-world problem and utilizes advanced technologies. Document your project thoroughly and build an online portfolio (e.g., personal website, GitHub) showcasing all your projects, internships, and certifications.
Tools & Resources
GitHub, Personal website platforms (e.g., WordPress, Wix), Medium for technical blogs
Career Connection
A strong capstone project and well-maintained portfolio are often the deciding factors in interviews, allowing you to demonstrate your capabilities and passion to potential employers.
Intensive Placement Preparation- (Semester 6-8)
Begin intensive preparation for placements well in advance. This includes practicing aptitude tests, logical reasoning, verbal ability, and coding challenges. Participate in mock interviews (technical and HR) conducted by the career development center and alumni mentors to refine your interview skills.
Tools & Resources
TalentSprint, Campus Recruitment Training (CRT) programs, Glassdoor for interview experiences
Career Connection
Targeted preparation is vital for securing competitive placements in top-tier companies, maximizing your chances of a successful and high-paying entry into the industry.
Network with Industry Professionals and Alumni- (Semester 6-8)
Attend industry seminars, conferences, and workshops to network with professionals. Utilize LinkedIn to connect with SRMIST alumni working in your target companies and roles. Alumni insights can provide mentorship, job referrals, and valuable career advice, aiding your transition from academia to industry.
Tools & Resources
LinkedIn, SRMIST Alumni Network, Industry conferences (e.g., Nasscom events)
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and a broader understanding of industry expectations, significantly enhancing your long-term career growth and opportunities.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 or equivalent with Physics, Chemistry, and Mathematics (PCM) as compulsory subjects with a minimum aggregate percentage (e.g., 60%) from a recognized board.
Duration: 4 years / 8 semesters
Credits: 168 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21HS101 | Communicative English | Humanities and Social Sciences | 3 | Grammar and Vocabulary, Listening and Speaking Skills, Reading Comprehension, Writing Skills, Presentation Techniques |
| 21MA101 | Engineering Mathematics - I | Basic Sciences | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Linear Algebra Basics, Multivariable Calculus |
| 21PH101 | Engineering Physics | Basic Sciences | 3 | Quantum Physics, Materials Science, Lasers and Optics, Semiconductor Physics, Wave Mechanics |
| 21CH101 | Engineering Chemistry | Basic Sciences | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Polymer Chemistry, Materials Chemistry |
| 21GE101 | Programming for Problem Solving | Engineering Sciences | 3 | C Programming Fundamentals, Data Types and Operators, Control Structures, Functions and Arrays, Pointers and Structures |
| 21GE102 | Engineering Graphics & Design | Engineering Sciences | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, CAD Basics |
| 21GE103 | Programming for Problem Solving Lab | Lab | 1 | C Program Execution, Conditional Statements, Looping Constructs, Function Implementation, Array and Pointer Operations |
| 21GE104 | Engineering Workshop | Lab | 1 | Carpentry, Fitting, Welding, Sheet Metal, Plumbing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21HS201 | Professional Communication | Humanities and Social Sciences | 3 | Technical Writing, Oral Presentation Skills, Group Discussion, Interview Skills, Report Writing |
| 21MA201 | Engineering Mathematics - II | Basic Sciences | 4 | Ordinary Differential Equations, Laplace Transforms, Vector Calculus, Complex Analysis, Fourier Series |
| 21PH201 | Physics for Information Science | Basic Sciences | 3 | Semiconductor Devices, Optoelectronic Devices, Magnetic Materials, Nanomaterials, Dielectric Materials |
| 21CH201 | Applied Chemistry | Basic Sciences | 3 | Spectroscopic Techniques, Instrumental Methods of Analysis, Green Chemistry, Fuel Cells, Corrosion Prevention |
| 21CS201 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Hashing Techniques, Sorting and Searching Algorithms |
| 21CS202 | Digital Systems | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| 21CS203 | Data Structures Lab | Lab | 1 | Linked List Operations, Stack and Queue Implementation, Tree Traversal, Graph Algorithms, Sorting and Searching Practice |
| 21CS204 | Digital Systems Lab | Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Flip-Flops and Counters, Memory Interfacing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MA301 | Probability and Statistics | Basic Sciences | 4 | Probability Distributions, Random Variables, Sampling Theory, Hypothesis Testing, Regression Analysis |
| 21CS301 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, File I/O |
| 21CS302 | Computer Organization and Architecture | Core | 3 | CPU Organization, Memory Hierarchy, I/O Organization, Pipelining, Parallel Processing |
| 21CS303 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 21CS304 | Database Management Systems | Core | 3 | ER Modeling, Relational Model, SQL Queries, Normalization, Transaction Management |
| 21CS305 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Polymorphism, Interface and Abstract Classes, Exception Handling Practice, GUI Programming |
| 21CS306 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML, Joins and Subqueries, PL/SQL Programming, Trigger and View Creation, Database Application Development |
| 21GE301 | Environmental Science | Mandatory Non-Credit | 0 | Ecology and Ecosystems, Biodiversity Conservation, Environmental Pollution, Waste Management, Sustainable Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS401 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| 21CS402 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Decidability and Undecidability |
| 21CS403 | Microprocessors and Microcontrollers | Core | 3 | 8086 Architecture, Assembly Language, Interfacing Techniques, Microcontroller Basics, Embedded Systems |
| 21CS404 | Computer Networks | Core | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer, Transport and Application Layers |
| 21PE4XX | Professional Elective - I | Elective | 3 | Specialized domain topic 1, Specialized domain topic 2, Specialized domain topic 3, Specialized domain topic 4, Specialized domain topic 5 |
| 21OE4XX | Open Elective - I | Elective | 3 | Interdisciplinary topic 1, Interdisciplinary topic 2, Interdisciplinary topic 3, Interdisciplinary topic 4, Interdisciplinary topic 5 |
| 21CS405 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, CPU Scheduling Algorithms, Deadlock Handling, Memory Management Techniques |
| 21CS406 | Microprocessors and Microcontrollers Lab | Lab | 1 | 8086 Assembly Programming, Interfacing I/O Devices, Timer/Counter Programming, Serial Communication, Embedded C Programming |
| 21CS407 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Packet Analysis (Wireshark), Routing Protocols, Network Security Tools |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS501 | Artificial Intelligence | Core | 3 | Intelligent Agents, Problem Solving and Search, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| 21CS502 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Project Management |
| 21CS503 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 21PE5XX | Professional Elective - II | Elective | 3 | Advanced Algorithms, Web Technologies, Cloud Computing, Big Data Analytics, Information Security |
| 21PE5XY | Professional Elective - III | Elective | 3 | Internet of Things, Distributed Systems, Image Processing, Data Warehousing, Wireless Communication |
| 21OE5XX | Open Elective - II | Elective | 3 | Management principles, Entrepreneurship, Economics, Robotics basics, Renewable energy |
| 21CS504 | Artificial Intelligence Lab | Lab | 1 | Python for AI, Search Algorithms, Knowledge Representation (Prolog), Machine Learning Libraries, NLP Toolkits |
| 21CS505 | Software Engineering Lab | Lab | 1 | UML Diagramming, Requirements Gathering Tools, Design Patterns Implementation, Software Testing Tools, Version Control Systems |
| 21PR501 | Mini Project | Project | 2 | Problem Identification, System Design, Implementation, Testing and Debugging, Documentation and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS601 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning Basics, Model Evaluation |
| 21CS602 | Cryptography and Network Security | Core | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Digital Signatures, Network Security Protocols |
| 21CS603 | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting (Node.js/Python), Database Connectivity, Web Frameworks |
| 21PE6XX | Professional Elective - IV | Elective | 3 | Data Analytics, Blockchain Technology, Human-Computer Interaction, Mobile Application Development, Virtual Reality |
| 21PE6XY | Professional Elective - V | Elective | 3 | Cloud Security, Ethical Hacking, Robotics Process Automation, Game Development, Quantum Computing Basics |
| 21OE6XX | Open Elective - III | Elective | 3 | Sociology, Psychology, Financial Management, Operations Research, Intellectual Property Rights |
| 21CS604 | Machine Learning Lab | Lab | 1 | Scikit-learn, TensorFlow/Keras, Data Preprocessing, Algorithm Implementation, Model Deployment |
| 21CS605 | Web Technologies Lab | Lab | 1 | Frontend Development, Backend Development, RESTful APIs, Database Integration, Deployment to Cloud |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PE7XX | Professional Elective - VI | Elective | 3 | Deep Learning Architectures, Natural Language Processing, Computer Vision, Cyber Forensics, Big Data Engineering |
| 21PE7XY | Professional Elective - VII | Elective | 3 | Software Project Management, Service Oriented Architecture, Business Intelligence, DevOps, Augmented Reality |
| 21OE7XX | Open Elective - IV | Elective | 3 | Professional Ethics, Indian Constitution, Disaster Management, Human Rights, Stress Management |
| 21PR701 | Project Work - I | Project | 6 | Advanced Problem Definition, Literature Survey, System Architecture Design, Module Development, Interim Report |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS801 | Industry Internship/Industrial Project | Industrial Project | 12 | Real-world problem solving, Industry standard tools, Team collaboration, Professional communication, Project delivery and presentation |
| 21PR801 | Project Work - II | Project | 8 | Full System Implementation, Advanced Testing and Validation, Performance Optimization, Comprehensive Documentation, Final Thesis and Viva Voce |
