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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, Chengalpattu focuses on building a unique blend of technical computing skills and essential business acumen. Designed in collaboration with industry leaders like TCS, it addresses the growing demand for professionals who can bridge the gap between technology and business strategy in the Indian corporate landscape. The program''''s interdisciplinary nature prepares graduates for dynamic roles in the digital economy.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for problem-solving who are also keen to understand the nuances of business operations and management. It targets fresh graduates from a science background seeking entry into tech-driven business roles, and can also appeal to working professionals looking to pivot into techno-managerial positions within the Indian IT and consulting sectors. A foundational understanding of mathematics and logical reasoning is beneficial.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Analyst, ERP Consultant, Digital Marketing Manager, and IT Project Manager. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals commanding significantly higher packages. The growth trajectories are robust in technology consulting and digital transformation roles across various Indian enterprises, aligning with certifications like Six Sigma or PMP for career advancement.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-2)
Dedicate significant time to fundamental programming concepts (Python, Java) and data structures. Actively solve problems on coding platforms beyond coursework to build strong logical thinking. Focus on understanding algorithm efficiency and practice debugging.
Tools & Resources
HackerRank, LeetCode (easy/medium), GeeksforGeeks, Python documentation, Java official tutorials
Career Connection
Strong fundamentals are the bedrock for competitive programming and technical interviews, directly impacting placement opportunities in product and service-based companies.
Engage in Interdisciplinary Learning- (Semester 1-2)
Pay attention to both core computing subjects and introductory business/management topics. Seek connections between them, e.g., how programming skills can automate business processes. Participate in introductory design thinking workshops and case study analyses.
Tools & Resources
Case studies on business automation, University''''s design thinking cell, Online MOOCs on basic economics/management, Business newspapers (e.g., The Economic Times)
Career Connection
Develops a holistic perspective, crucial for business analyst and techno-managerial roles where understanding both technology and business is key.
Develop Effective Communication Skills- (Semester 1-2)
Actively participate in English language and business communication courses. Practice written and oral presentations, engage in group discussions, and build professional email etiquette. Join college clubs focused on public speaking or debate to refine these skills.
Tools & Resources
Toastmasters International clubs, Grammarly, Presentation software (PowerPoint, Google Slides), Peer feedback sessions
Career Connection
Essential for collaborating in teams, presenting project ideas to clients or managers, and excelling in group discussions during recruitment processes.
Intermediate Stage
Apply Data and Database Concepts to Business Scenarios- (Semester 3-4)
Go beyond theoretical understanding of Database Management Systems and operating systems. Work on projects that simulate real-world data storage, retrieval, and management challenges for a business. Learn SQL deeply and explore basic NoSQL concepts.
Tools & Resources
MySQL, PostgreSQL, MongoDB, Kaggle datasets, SQLZoo, DataCamp
Career Connection
Directly applicable to roles like Database Administrator, Data Engineer, and Business Intelligence Developer, enhancing ability to manage and extract insights from business data.
Pursue Relevant Internships and Certifications- (Semester 4-5)
Actively seek summer internships in software development, data analytics, or business consulting roles within Indian companies. Consider pursuing professional certifications in areas like Cloud Computing (AWS/Azure fundamentals) or Software Engineering (Scrum Master).
Tools & Resources
LinkedIn, Internshala, Company career portals, NPTEL courses, Coursera/edX certifications, Specific cloud provider training (e.g., AWS Certified Cloud Practitioner)
Career Connection
Provides practical industry exposure, builds professional networks, and makes candidates more attractive to recruiters for direct placement opportunities.
Build a Strong Project Portfolio- (Semester 3-5)
Start working on individual or group projects that integrate both computer science (e.g., AI, Cloud) and business systems concepts (e.g., ERP, CRM). Showcase these projects on platforms like GitHub and actively present them at college events.
Tools & Resources
GitHub, VS Code, Domain-specific APIs, Open-source project contributions, College hackathons and project expos
Career Connection
Demonstrates practical application of learned skills, problem-solving abilities, and initiative, which are key differentiators in placement interviews.
Advanced Stage
Specialize in Business and Technology Convergence- (Semester 6-7)
Deep dive into subjects like Data Analytics, Business Intelligence, ERP, AI for Business, and Financial Management. Choose electives that align with career interests in techno-managerial roles. Work on capstone projects that solve complex business problems using technology.
Tools & Resources
Advanced analytics software (R/Python libraries), BI tools (Tableau, PowerBI), ERP simulation tools, Industry reports and case studies
Career Connection
Positions graduates for specialized roles such as BI Developer, ERP Consultant, AI Strategist, or Data Scientist, highly valued in modern Indian industries.
Focus on Leadership and Entrepreneurial Skills- (Semester 7-8)
Take on leadership roles in student organizations or academic projects. Actively participate in entrepreneurship cells, pitch competitions, and workshops on innovation. Develop skills in team management, negotiation, and strategic thinking relevant to Indian startups.
Tools & Resources
E-Cell initiatives, Startup incubators, Leadership training programs, Business model canvas, Industry mentorship programs
Career Connection
Prepares for managerial roles, starting one''''s own venture, or driving innovation within established organizations, fostering an entrepreneurial mindset.
Strategize for Placements and Higher Studies- (Semester 7-8)
Prepare thoroughly for campus placements by practicing aptitude, technical, and HR interview questions. Network with alumni. Research higher education options (MBA, MS) if aiming for advanced roles or academia. Tailor resumes and cover letters for specific job profiles.
Tools & Resources
Placement cell resources, Mock interviews, Alumni mentor programs, GMAT/GRE prep materials, LinkedIn for professional networking
Career Connection
Maximizes chances of securing desired job offers from top companies or gaining admission to prestigious graduate programs, setting a clear career trajectory.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate in Physics, Chemistry & Mathematics / Biology / Biotechnology / Computer Science / Informatics Practices / Interdisciplinary subject with Computer Science / Electronics in 10+2 or equivalent examination.
Duration: 4 years / 8 semesters
Credits: 187 Credits
Assessment: Internal: 40% (for Theory), 60% (for Practical), External: 60% (for Theory), 40% (for Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21LEM101 | English | Core | 3 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Written Communication, Oral Presentations |
| 21MA101 | Calculus and Matrix Algebra | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Matrices and Determinants, Eigenvalues and Eigenvectors |
| 21PH101 | Physics | Core | 3 | Oscillations and Waves, Optics, Quantum Physics, Material Science, Electromagnetic Theory |
| 21CY101 | Chemistry | Core | 3 | Electrochemistry, Polymer Chemistry, Water Technology, Fuels and Combustion, Corrosion and its Control |
| 21PD101 | Problem Solving and Python Programming | Core | 3 | Programming Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, Basic Algorithms and Problem Solving |
| 21PD102 | Problem Solving and Python Programming Laboratory | Lab | 2 | Python Programming Exercises, Debugging Techniques, Data Structures Implementation, File Handling, Algorithmic Problem Solving |
| 21PH102 | Physics Laboratory | Lab | 2 | Experiments on Optics, Electrical Circuits, Thermal Properties, Spectroscopy, Semiconductor Devices |
| 21CY102 | Chemistry Laboratory | Lab | 2 | Volumetric Analysis, Instrumental Methods, Synthesis of Organic Compounds, Water Analysis, Corrosion Studies |
| 21GE101 | Design Thinking | Core | 1 | Introduction to Design Thinking, Empathy and Problem Definition, Ideation Techniques, Prototyping and Testing, Human-Centered Design |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MA102 | Applied Statistics and Probability | Core | 4 | Probability Distributions, Hypothesis Testing, Regression Analysis, Correlation, Sampling Theory |
| 21PD201 | Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21PD202 | Object Oriented Programming with Java | Core | 3 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Multithreading |
| 21EC201 | Digital Logic and Computer Architecture | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, CPU Organization, Memory Hierarchy |
| 21EE201 | Principles of Electrical and Electronics Engineering | Core | 3 | DC and AC Circuits, Diodes and Transistors, Operational Amplifiers, Digital Electronics Basics, Electrical Machines Fundamentals |
| 21GE201 | Environmental Science | Core | 1 | Ecosystems and Biodiversity, Environmental Pollution, Renewable Energy Sources, Waste Management, Environmental Policies |
| 21PD203 | Data Structures and Algorithms Laboratory | Lab | 2 | Implementation of Data Structures, Algorithm Design and Analysis, Problem Solving using DSA, Recursion, Dynamic Programming exercises |
| 21PD204 | Object Oriented Programming with Java Laboratory | Lab | 2 | Java Programming Exercises, GUI Development with Java Swing/FX, JDBC Connectivity, Network Programming in Java, Applet Programming |
| 21EC202 | Digital Logic and Computer Architecture Laboratory | Lab | 2 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Memory Unit Simulation, Basic Processor Design |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MA201 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory and Relations, Functions and Sequences, Graph Theory, Combinatorics and Probability |
| 21PD301 | Database Management Systems | Core | 3 | Relational Model and SQL, Database Design (ER Model, Normalization), Transaction Management, Concurrency Control, Database Security |
| 21PD302 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, I/O Management and Deadlocks |
| 21PD303 | Business Communication and Analytics | Core | 3 | Business Communication Strategies, Data Visualization Principles, Descriptive Statistics for Business, Predictive Analytics Basics, Introduction to Business Intelligence |
| 21PD304 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Software Project Management |
| 21PD305 | Database Management Systems Laboratory | Lab | 2 | SQL Querying and Optimization, PL/SQL Programming, Database Administration Tasks, NoSQL Database Basics, Database Connectivity (JDBC/ODBC) |
| 21PD306 | Operating Systems Laboratory | Lab | 2 | Linux Commands and Shell Scripting, Process Management Exercises, CPU Scheduling Algorithms Implementation, Memory Allocation Techniques, Synchronization Problems |
| 21PD307 | Software Engineering Laboratory | Lab | 2 | UML Diagramming Tools, Version Control Systems (Git), Software Testing Tools (Junit, Selenium), Agile Development Practices, Requirements Management Tools |
| 21ENXXX | Professional Elective I | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21PDGE1 | Gender Equity | Core | 1 | Gender Roles and Stereotypes, Women Empowerment, Legal Frameworks for Gender Equality, Social Justice, Challenges and Solutions for Gender Equity |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PD401 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Network Protocols (HTTP, FTP, DNS), Routing and Congestion Control, Network Security Basics, Wireless and Mobile Networks |
| 21PD402 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 21PD403 | Fundamentals of Business Systems | Core | 3 | Introduction to Business Processes, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM), Business Process Reengineering |
| 21PD404 | Marketing Management and e-Business | Core | 3 | Marketing Mix (4Ps), Consumer Behavior, Digital Marketing Strategies, E-commerce Business Models, Online Advertising and SEO |
| 21PD405 | Computer Networks Laboratory | Lab | 2 | Network Simulation Tools, Socket Programming, Protocol Implementation, Network Configuration, Packet Analysis |
| 21PD406 | Design and Analysis of Algorithms Laboratory | Lab | 2 | Implementation of Core Algorithms, Performance Evaluation, Problem Solving with Algorithms, Complexity Analysis, Data Structure Optimization |
| 21PDGE2 | Indian Constitution | Core | 1 | Constitutional History, Fundamental Rights and Duties, Directive Principles of State Policy, Structure of Union Government, Structure of State Government |
| 21ENXXX | Professional Elective II | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective III | Elective | 3 | Elective subject chosen from a pool of specialized courses |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PD501 | Artificial Intelligence | Core | 3 | Search Algorithms (DFS, BFS, A*), Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing Basics, Expert Systems |
| 21PD502 | Financial Management | Core | 3 | Financial Statements Analysis, Capital Budgeting, Working Capital Management, Risk and Return, Investment Decisions |
| 21PD503 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technology, Cloud Security, Cloud Platform Services (AWS, Azure, GCP) |
| 21PD504 | Artificial Intelligence Laboratory | Lab | 2 | AI Algorithms Implementation, Machine Learning Toolkits, Constraint Satisfaction Problems, Game Playing AI, Logic Programming (Prolog/Python) |
| 21PD505 | Cloud Computing Laboratory | Lab | 2 | Cloud Platform Deployment, Virtual Machine Management, Containerization (Docker), Serverless Computing, Cloud Storage Services |
| 21PDGE3 | Professional Ethics | Core | 1 | Ethical Theories, Professional Code of Conduct, Workplace Ethics, Cyber Ethics and Privacy, Corporate Social Responsibility |
| 21ENXXX | Professional Elective IV | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective V | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective VI | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21INT501 | Internship | Project | 2 | Industry Experience, Project Report Writing, Presentation Skills, Application of Theoretical Knowledge, Professional Networking |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PD601 | Data Analytics and Visualization | Core | 3 | Big Data Concepts, Data Warehousing, Data Mining Techniques, Predictive Modeling, Data Visualization Tools (Tableau, PowerBI) |
| 21PD602 | Human Resources Management | Core | 3 | HR Planning and Recruitment, Training and Development, Performance Appraisal, Compensation and Benefits, Industrial Relations |
| 21PD603 | Principles of Economics | Core | 3 | Microeconomics (Demand, Supply, Market Structures), Macroeconomics (GDP, Inflation, Unemployment), Fiscal Policy, Monetary Policy, International Trade |
| 21PD604 | Data Analytics and Visualization Laboratory | Lab | 2 | Data Preprocessing and Cleaning, Statistical Analysis with Python/R, Interactive Dashboard Creation, Machine Learning Algorithms for Analytics, Reporting and Storytelling with Data |
| 21PRO601 | Project Work – I | Project | 4 | Problem Identification, Literature Survey, Project Design, Methodology Planning, Preliminary Implementation Plan |
| 21ENXXX | Professional Elective VII | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective VIII | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective IX | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Open Elective I | Elective | 3 | Cross-disciplinary elective subject |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PD701 | Business Intelligence and ERP Systems | Core | 3 | Business Intelligence Architecture, Data Warehousing and Data Marts, ETL Processes, ERP Modules and Implementation, BI Tools and Applications |
| 21PD702 | Entrepreneurship and Innovation | Core | 3 | Startup Ecosystem, Business Plan Development, Funding and Venture Capital, Intellectual Property Rights, Innovation Management |
| 21PRO701 | Project Work – II | Project | 6 | System Design and Architecture, Development and Implementation, Testing and Quality Assurance, Documentation and Reporting, Project Presentation |
| 21ENXXX | Professional Elective X | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective XI | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Open Elective II | Elective | 3 | Cross-disciplinary elective subject |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21PRO801 | Project Work – III | Project | 10 | Comprehensive Project Development, Advanced Research and Development, Industry-level Implementation, Testing and Validation, Thesis Writing and Defense |
| 21ENXXX | Professional Elective XII | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Professional Elective XIII | Elective | 3 | Elective subject chosen from a pool of specialized courses |
| 21ENXXX | Open Elective III | Elective | 3 | Cross-disciplinary elective subject |
