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B-TECH in Computer Science And Business Systems at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Computer Science and Business Systems at SRM Institute of Science and Technology Chengalpattu?
This Computer Science and Business Systems (CSBS) program at SRM Institute of Science and Technology focuses on blending core computer science with essential business management principles. Tailored to meet the demands of the digital economy, particularly in India, it prepares graduates for roles at the intersection of technology and business. The curriculum is designed with industry insights, making it highly relevant for evolving corporate needs and digital transformation initiatives.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for both mathematics and problem-solving, coupled with an interest in business applications. It suits fresh graduates aspiring to kickstart careers in IT consulting, data analytics, or product management. Working professionals looking to transition into tech-driven business roles or entrepreneurs keen on building technology-enabled ventures will also find immense value here.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Business Analysts, Data Scientists, IT Consultants, and Product Managers in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The strong blend of skills offers accelerated growth trajectories and aligns well with certifications in areas like PMP, ITIL, or specialized analytics platforms.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate consistent time in Semesters 1-2 to solidify C and Python programming concepts, data structures, and algorithms. Actively participate in coding challenges and solve problems daily to build a strong logical foundation essential for advanced CS subjects.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, SRMIST Coding Club
Career Connection
Strong programming fundamentals are non-negotiable for placements in software development, data analysis, and even business analyst roles, forming the backbone for technical interviews at companies like TCS, Infosys, and startups.
Build Strong Communication & Presentation Skills- (Semester 1-2)
Utilize Business Communication courses to refine written and verbal skills. Participate actively in group discussions, debates, and presentations. Join Toastmasters or similar clubs to gain confidence and articulate ideas clearly, crucial for business-oriented roles.
Tools & Resources
Toastmasters International Chapters, SRMIST Communication Centre, Online courses on Coursera/edX
Career Connection
Effective communication is vital for consulting, project management, and client-facing roles. It helps in acing HR rounds, presenting project ideas, and collaborating effectively in a corporate setup.
Engage in Interdisciplinary Project Work- (Semester 1-2)
Actively pursue mini-projects that integrate both computing and business aspects. Collaborate with peers from different backgrounds. This early exposure helps in understanding real-world problem statements from a holistic perspective.
Tools & Resources
GitHub for version control, Trello for project management, Internal SRMIST project fairs
Career Connection
Demonstrates practical application of knowledge and fosters teamwork. This is highly valued by companies seeking candidates who can bridge the gap between technical and business requirements.
Intermediate Stage
Gain Certifications in Key Technologies- (Semester 3-5)
As you delve into subjects like Databases, OS, and Business Analytics (Semesters 3-5), pursue industry-recognized certifications. For instance, SQL certifications, Google Analytics, or AWS Cloud Practitioner can provide a competitive edge.
Tools & Resources
Coursera, Udemy, edX for courses, Official certification exams (Oracle SQL, AWS, Google Analytics Academy)
Career Connection
Certifications validate skills beyond academics, making resumes stand out for specialized roles in data science, cloud engineering, or database administration at companies like Accenture, Capgemini, and HCL Tech.
Actively Seek Internships and Industry Mentorship- (Semester 3-5)
Proactively look for summer internships in IT firms, startups, or business consultancies, even if unpaid, to gain practical exposure. Connect with industry professionals on LinkedIn for mentorship and insights into market trends.
Tools & Resources
LinkedIn, Internshala, SRMIST Career Development Centre, Naukri.com
Career Connection
Internships provide invaluable work experience, refine professional skills, and often lead to pre-placement offers (PPOs), directly impacting placement success and providing a head start in your career.
Participate in Hackathons and Case Study Competitions- (Semester 3-5)
Engage in inter-college or industry-sponsored hackathons and business case study competitions. This helps in applying theoretical knowledge to solve real-world problems under pressure, fostering innovation and critical thinking.
Tools & Resources
Devpost, Dare2Compete, SRMIST clubs for technical/management events
Career Connection
Showcases problem-solving abilities, teamwork, and resilience to recruiters. Winning or participating in such events adds significant weight to your profile for roles in product development, consulting, and strategy.
Advanced Stage
Specialize and Build a Portfolio- (Semester 6-8)
In later semesters (6-8), identify your niche within CSBS (e.g., Data Science, Cloud, Fintech, Supply Chain Analytics). Deepen your knowledge through electives and build a strong project portfolio demonstrating expertise in your chosen area.
Tools & Resources
Kaggle, GitHub for projects, Specialized online courses (DeepLearning.AI)
Career Connection
A specialized portfolio distinguishes you from other graduates and directly positions you for advanced roles in your chosen domain, attracting recruiters looking for specific skill sets in niche markets.
Intensive Placement and Interview Preparation- (Semester 6-8)
Start rigorous preparation for placements including aptitude tests, technical rounds, and HR interviews. Focus on practicing coding, revising core CS and business concepts, and mock interviews. Leverage the career services cell for support.
Tools & Resources
Placement cell resources, Online aptitude tests, Glassdoor for interview experiences, Mock interview platforms
Career Connection
Directly impacts securing desired job roles and salary packages. Thorough preparation for all stages of the interview process is crucial for converting opportunities into successful placements.
Develop Leadership and Mentoring Skills- (Semester 6-8)
Take on leadership roles in student organizations or mentor junior students. Organize workshops or technical events. This develops soft skills like leadership, team management, and organization, which are highly valued in managerial and consulting roles.
Tools & Resources
Student clubs and societies at SRMIST, Leadership development programs
Career Connection
Leadership experience is a key differentiator for management trainee programs, leadership roles in tech firms, and entrepreneurial ventures. It demonstrates readiness for greater responsibilities in the professional world.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate in Physics, Chemistry, and Mathematics (PCM) in 10+2 examinations.
Duration: 4 years / 8 semesters
Credits: 165 Credits
Assessment: Internal: Theory: 50%, Lab: 60%, Project: 60%, External: Theory: 50%, Lab: 40%, Project: 40%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB101T | Business Communication & Value Science - I | Core | 3 | Fundamentals of Communication, Barriers to Communication, Verbal and Non-verbal Communication, Introduction to Ethics and Values, Corporate and Personal Values |
| 22CSB102T | Computational Thinking | Core | 3 | Introduction to Computational Thinking, Problem Decomposition and Abstraction, Pattern Recognition and Algorithms, Data Representation and Structures, Introduction to Python Programming |
| 22MA101T | Calculus and Matrix Algebra | Core | 4 | Differential Calculus, Integral Calculus Applications, Matrices and Determinants, Eigenvalues and Eigenvectors, Vector Spaces |
| 22PH101T | Engineering Physics | Core | 3 | Wave Optics and Interference, Laser Physics and Applications, Fiber Optics and Communication, Quantum Mechanics Introduction, Material Science and Nanotechnology |
| 22EE101T | Principles of Electrical and Electronics Engineering | Core | 3 | DC and AC Circuit Analysis, Network Theorems, Semiconductor Diodes and Transistors, Operational Amplifiers, Basic Digital Electronics |
| 22CSB103L | Computational Thinking Lab | Lab | 2 | Python Basics and Data Types, Control Flow and Functions, Lists, Tuples, Dictionaries, String Manipulation, Problem Solving with Python |
| 22PH102L | Physics Laboratory | Lab | 1 | Wave Phenomenon Experiments, Electrical Circuit Measurements, Semiconductor Device Characteristics, Optical Instrument Handling, Materials Property Determination |
| 22CSB104P | Engineering Project in CSBS - I | Project | 2 | Problem Identification, Literature Survey, Project Planning and Scoping, Basic Design and Implementation, Report Writing Fundamentals |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB201T | Business Communication & Value Science - II | Core | 3 | Advanced Communication Strategies, Interpersonal Skills and EQ, Group Discussions and Public Speaking, Professional Ethics and Conduct, Social Responsibility and Digital Ethics |
| 22CSB202T | Fundamentals of Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| 22MA201T | Probability and Statistics | Core | 4 | Basic Probability Theory, Random Variables and Distributions, Statistical Inference and Hypothesis Testing, Correlation and Regression Analysis, Sampling Distributions |
| 22CSB203T | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Combinatorics and Counting, Graph Theory Fundamentals, Algebraic Structures |
| 22CH101T | Engineering Chemistry | Core | 3 | Water Technology and Treatment, Electrochemistry and Corrosion, Fuels and Combustion, Polymers and Composites, Nanomaterials and Applications |
| 22CSB204L | Data Structures Lab | Lab | 2 | Implementation of Linear Data Structures, Tree and Graph Operations, Sorting Algorithms Implementation, Searching Algorithms Implementation, Memory Management for Data Structures |
| 22CH102L | Chemistry Laboratory | Lab | 1 | Volumetric Analysis Techniques, Water Quality Parameter Estimation, Spectrophotometric Analysis, Corrosion Rate Measurement, Polymer Synthesis Experiments |
| 22CSB205P | Engineering Project in CSBS - II | Project | 2 | Detailed Project Design, Module Development and Integration, Testing and Debugging, Team Collaboration and Version Control, Advanced Documentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB301T | Computer Organization and Architecture | Core | 3 | Digital Logic Gates and Circuits, CPU Design and Instruction Set, Memory Hierarchy and Caching, I/O Organization and Interrupts, Pipelining and Parallel Processing |
| 22CSB302T | Database Management System | Core | 4 | Data Models (ER, Relational), Relational Algebra and Calculus, Structured Query Language (SQL), Normalization and Dependencies, Transaction Management and Concurrency Control |
| 22CSB303T | Object Oriented Programming using Java | Core | 3 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Exception Handling, Multithreading and File I/O, GUI Programming with AWT/Swing |
| 22CSB304T | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms and Dynamic Programming, Graph Algorithms, Complexity Classes (P, NP, NP-Complete) |
| 22CSB305T | Environmental Science and Sustainability | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution and Control, Renewable Energy Resources, Waste Management Strategies, Sustainable Development Goals |
| 22CSB306L | Database Management Systems Lab | Lab | 2 | SQL Commands (DDL, DML, DCL), Advanced SQL Queries, Schema Design and Implementation, Stored Procedures and Triggers, Database Connectivity (e.g., JDBC) |
| 22CSB307L | Object Oriented Programming Lab | Lab | 2 | Implementing Classes and Objects, Inheritance and Polymorphism Exercises, Abstract Classes and Interfaces, Exception Handling and File I/O Programs, GUI Application Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB401T | Operating Systems | Core | 3 | Process Management and CPU Scheduling, Memory Management and Virtual Memory, File Systems and I/O Management, Deadlocks and Concurrency Control, Operating System Security |
| 22CSB402T | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering and Analysis, Software Design Principles, Software Testing Techniques, Software Project Management and Agile Methods |
| 22CSB403T | Business Analytics and Intelligence | Core | 4 | Introduction to Business Analytics, Data Warehousing and OLAP, Data Mining Fundamentals, Predictive Analytics Techniques, Business Intelligence Tools and Applications |
| 22CSB404T | Principles of Economics and Management | Core | 4 | Microeconomics and Macroeconomics, Market Structures and Pricing, Functions of Management, Organizational Behavior, Financial and Marketing Management |
| 22MA301T | Transforms and Partial Differential Equations | Core | 4 | Fourier Series and Transforms, Laplace Transforms and Applications, Z-Transforms, Partial Differential Equations, Boundary Value Problems |
| 22CSB405L | Operating Systems Lab | Lab | 2 | Linux Commands and Shell Scripting, Process Creation and Management, CPU Scheduling Algorithms, Memory Allocation Techniques, Inter-process Communication |
| 22CSB406L | Business Analytics and Intelligence Lab | Lab | 2 | Data Preprocessing and Cleaning, Data Visualization Techniques, Regression and Classification Models, Clustering Algorithms, Using Tools like R/Python for Analytics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB501T | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Data Link Layer Protocols, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| 22CSB502T | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Selection, Introduction to Neural Networks |
| 22CSB503T | Financial Management and Services | Core | 4 | Financial Markets and Instruments, Investment Analysis and Decisions, Capital Budgeting Techniques, Working Capital Management, Risk and Return Management |
| 22CSB504T | Business Strategy | Core | 3 | Strategic Management Process, External and Internal Analysis (SWOT), Porter''''s Five Forces Model, Generic Strategies (Cost Leadership, Differentiation), Corporate Level Strategies |
| 22CSB505T | Artificial Intelligence | Core | 4 | Introduction to AI and Intelligent Agents, Problem Solving through Search, Knowledge Representation and Reasoning, Logical Agents and Planning, Introduction to Machine Learning in AI |
| 22CSB506L | Computer Networks Lab | Lab | 2 | Network Configuration and Troubleshooting, Socket Programming for Client-Server, Packet Analysis using Wireshark, Implementing Routing Protocols, Network Security Tools |
| 22CSB507L | Machine Learning Lab | Lab | 2 | Implementing Regression Models, Implementing Classification Models, Clustering Algorithms Practice, Model Evaluation Metrics, Using Scikit-learn and Pandas |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB601T | Cloud Computing | Core | 4 | Cloud Computing Paradigms, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Management |
| 22CSB602T | Data Warehousing and Data Mining | Core | 4 | Data Warehouse Architecture, ETL Process, OLAP Operations, Data Preprocessing Techniques, Association Rule Mining and Classification |
| 22CSB603T | Information Security | Core | 3 | Cryptographic Fundamentals, Symmetric and Asymmetric Key Ciphers, Hash Functions and Digital Signatures, Network Security Attacks and Defenses, Web Security and Cyber Laws |
| 22CSB604T | Marketing Management | Core | 3 | Market Research and Consumer Behavior, Product Life Cycle and Development, Pricing Strategies, Promotion and Advertising, Distribution Channels and Digital Marketing |
| 22CSE01 | Blockchain Technology | Professional Elective | 3 | Fundamentals of Blockchain, Cryptocurrencies (Bitcoin, Ethereum), Consensus Mechanisms, Smart Contracts and DApps, Blockchain Platforms and Use Cases |
| 22CSB606L | Cloud Computing Lab | Lab | 2 | Cloud VM Deployment (AWS/Azure), Storage Services in Cloud, Networking in Cloud Environments, Serverless Computing Functions, CI/CD Pipeline Implementation |
| 22CSB607P | Project Phase - I | Project | 2 | Detailed Project Proposal, Requirements Gathering and Analysis, System Design and Architecture, Initial Code Development, Mid-term Review and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB701T | Big Data Analytics | Core | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and Data Processing, NoSQL Databases, Stream Processing and Real-time Analytics |
| 22CSB702T | Internet of Things | Core | 3 | IoT Architecture and Paradigms, Sensors, Actuators, and Embedded Systems, IoT Communication Protocols, IoT Platforms and Cloud Integration, IoT Security and Privacy |
| 22CSB703T | Entrepreneurship and Innovation | Core | 3 | Entrepreneurial Mindset, Business Idea Generation, Business Plan Development, Startup Ecosystem and Funding, Innovation Management |
| 22CSE07 | Natural Language Processing | Professional Elective | 3 | Text Preprocessing and Tokenization, N-grams and Language Models, Part-of-Speech Tagging, Sentiment Analysis and Text Classification, Introduction to Neural Networks for NLP |
| 22CSBEO1 | Business Process Management | Professional Elective (Business Elective) | 3 | BPM Lifecycle and Principles, Process Modeling Notations (BPMN), Process Analysis and Redesign, Process Automation and Implementation, Process Monitoring and Optimization |
| 22CSB706L | Big Data Analytics Lab | Lab | 2 | Hadoop File System Operations, Implementing MapReduce Programs, Spark Dataframe Operations, Hive Query Language Practice, NoSQL Database Operations (e.g., MongoDB) |
| 22CSB707L | Internet of Things Lab | Lab | 2 | Sensor Interfacing with Microcontrollers, Implementing IoT Communication Protocols, Cloud Platform Integration (e.g., AWS IoT), Data Logging and Visualization, Building Simple IoT Applications |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSBEO2 | Supply Chain Management | Professional Elective (Business Elective) | 3 | Supply Chain Design and Strategy, Logistics and Transportation Management, Inventory Management Techniques, Procurement and Sourcing, Supply Chain Risk and Sustainability |
| 22CSE09 | Deep Learning | Professional Elective | 3 | Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and LSTMs, Autoencoders and Generative Models, Deep Learning Frameworks (TensorFlow/PyTorch) |
| 22CSB803P | Project Phase - II | Project | 6 | Advanced System Development and Integration, Comprehensive Testing and Quality Assurance, Performance Evaluation and Optimization, Detailed Technical Report Writing, Project Demonstration and Viva-Voce |
| 22CSB804V | Industrial Training/Internship/Value Added Course | Practical | 3 | Real-world Industry Exposure, Practical Skill Application, Professional Networking, Industry-Specific Tools and Technologies, Problem Solving in Corporate Environment |
| 22CSB805F | Comprehensive Viva Voce | Practical | 1 | Overall Subject Knowledge Assessment, Communication and Presentation Skills, Problem-Solving and Critical Thinking, Understanding of Core Concepts, Interdisciplinary Linkages |
