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B-TECH in Computer Science And Business Systems Csbs at Keshav Memorial Institute of Technology
Hyderabad, Telangana
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About the Specialization
What is Computer Science and Business Systems (CSBS) at Keshav Memorial Institute of Technology Hyderabad?
This Computer Science and Business Systems (CSBS) program at Keshav Memorial Institute of Technology, Hyderabad, focuses on equipping students with a unique blend of computational skills and business acumen. Designed to meet the evolving demands of the Indian IT and corporate sectors, it offers a holistic education encompassing core computer science principles alongside essential management and communication skills. The program differentiates itself by preparing graduates not just as technical experts but also as future business leaders capable of bridging technology and management.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into the high-growth IT consulting, product management, or business analytics sectors in India. It also caters to individuals with a strong aptitude for both problem-solving and strategic thinking, who aspire to roles requiring a deep understanding of how technology drives business outcomes. Specific prerequisite backgrounds typically include a strong foundation in science and mathematics at the 10+2 level, alongside an interest in applying technology to real-world business challenges.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in companies ranging from startups to large MNCs. Roles like Business Analyst, Data Analyst, Product Manager, IT Consultant, and Software Developer with business insights are common. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning INR 10-25+ LPA, reflecting the dual skill advantage. Growth trajectories are steep, often leading to leadership positions where technology strategies are formulated.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Focus on building a strong base in C/Java by regularly solving problems on platforms like CodeChef and HackerRank. Understand data structures and algorithms early on.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, NPTEL courses on Programming
Career Connection
Essential for cracking technical interviews for entry-level software development roles and building a problem-solving mindset crucial for any tech-business role.
Develop Strong Communication and Presentation Skills- (Semester 1-2)
Actively participate in English Language and Communication Skills Labs, engage in group discussions, debates, and presentations. Join college clubs focused on public speaking.
Tools & Resources
Toastmasters-style clubs, Presentation software (PowerPoint/Google Slides), Peer feedback sessions
Career Connection
Crucial for business communication, client interactions, and pitching ideas in business-oriented roles like business analysis and product management.
Explore Interdisciplinary Concepts Early- (Semester 1-2)
Beyond core subjects, take initiative to read articles, watch documentaries, and attend webinars on emerging technologies (e.g., AI, Blockchain) and basic business concepts (e.g., marketing, finance).
Tools & Resources
Coursera/edX introductory courses, Industry blogs (e.g., Gartner, Forrester), Business news publications
Career Connection
Helps in understanding the broader landscape of CSBS, identifying areas of interest for future specialization, and preparing for roles that require a holistic view.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Apply theoretical knowledge from OOP, DBMS, OS, and Data Structures by building small to medium-sized projects. Collaborate with peers on innovative ideas and contribute to open-source projects.
Tools & Resources
GitHub, VS Code, Java/Python, MySQL, AWS Free Tier
Career Connection
Demonstrates practical skills to recruiters, provides talking points for interviews, and helps secure internships in specialized domains like full-stack development or data engineering.
Seek Industry Exposure through Internships/Workshops- (Semester 4-5 summer break, or part-time during semester 5)
Actively look for summer internships or participate in industry-sponsored workshops, especially in areas blending CS and business like data analytics or software development with a business focus.
Tools & Resources
College placement cell, LinkedIn, Internshala, Industry events, Company career pages
Career Connection
Gain real-world experience, build professional networks, understand corporate culture, and convert internships into pre-placement offers (PPOs).
Participate in Case Study Competitions and Hackathons- (Semester 3-5)
Apply analytical and problem-solving skills to real-world business and technical challenges. Collaborate in teams to develop innovative solutions and present them effectively.
Tools & Resources
Industry-sponsored hackathons (e.g., TCS EngiNx, Smart India Hackathon), College tech fests, Management clubs
Career Connection
Develops critical thinking, teamwork, and presentation skills, highly valued in consulting, product management, and business development roles.
Advanced Stage
Specialize and Certify in Niche Areas- (Semester 6-8)
Choose professional electives wisely (e.g., AI, Cloud, Cybersecurity, Entrepreneurship) and pursue industry certifications (e.g., AWS Certified Cloud Practitioner, Google Analytics, Microsoft Certified: Azure AI Engineer).
Tools & Resources
Official certification guides, Online learning platforms (Coursera, Udemy), Specialized workshops
Career Connection
Validates expertise in high-demand fields, makes resumes stand out, and opens doors to specialized job roles and higher compensation packages in the Indian IT landscape.
Intensive Placement Preparation & Mock Interviews- (Semester 7-8)
Dedicate significant time to aptitude tests, logical reasoning, verbal ability, and technical interview preparation. Participate in mock interviews (technical, HR, case-based) with faculty and seniors.
Tools & Resources
Online aptitude platforms (IndiaBix), Interview prep books, Company-specific interview guides, College placement cell workshops
Career Connection
Crucial for securing placements in top-tier companies, understanding interview dynamics, and performing confidently during campus recruitment drives.
Undertake a Capstone Project with Industry Relevance- (Semester 7-8)
Work on a comprehensive final year project (Project Work I & II) that addresses a real-world industry problem or builds a substantial application, preferably with a business impact. Focus on documentation and presentation.
Tools & Resources
Advanced development tools, Cloud platforms, Mentorship from industry professionals or faculty, Project management tools
Career Connection
Showcases ability to deliver complete solutions, provides a strong talking point for interviews, and can serve as a foundation for a startup or further research.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Chemistry, and Mathematics as compulsory subjects. Minimum 45% aggregate (40% for reserved categories) in qualifying examination. Admission through TS EAMCET.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: undefined, External: undefined
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS101MA | Engineering Mathematics-I | Core | 4 | Differential Equations of First Order, Higher Order Linear Differential Equations, Laplace Transforms, Inverse Laplace Transforms, Applications of First and Second Order Differential Equations |
| 22BS102PH | Engineering Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Wave Optics, Semiconductor Physics |
| 22CS101CB | Problem Solving and Programming | Core | 3 | Introduction to Programming, Control Statements, Functions and Pointers, Arrays and Strings, Structures, Unions and File Handling |
| 22BS103EN | English for Skill Enhancement | Core | 2 | Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Grammar and Vocabulary |
| 22CS102CB | Computer Organization and Architecture | Core | 3 | Basic Computer Organization, Central Processing Unit, Microprogrammed Control, Memory Organization, Input-Output Organization |
| 22BS151PH | Engineering Physics Lab | Lab | 1.5 | Lasers and Optical Fibers, Diffraction and Interference, Magnetic Fields, Torsional Pendulum, Photoelectric Effect |
| 22CS151CB | Problem Solving and Programming Lab | Lab | 1.5 | C Programming Basics, Control Structures Implementation, Functions and Pointers Practice, Arrays and Strings Manipulation, File Operations |
| 22BS152EN | English Language and Communication Skills Lab | Lab | 1.5 | Introduction to Phonetics, Speech Sounds and Rhythm, Intonation and Stress, Situational Dialogues and Role Play, Public Speaking |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS201MA | Engineering Mathematics-II | Core | 4 | Matrices and Eigenvalues, Vector Calculus, Multiple Integrals, Complex Variables, Functions of Complex Variables |
| 22BS202CH | Engineering Chemistry | Core | 3 | Water and its Treatment, Electrochemistry and Batteries, Corrosion and its Control, Polymer Chemistry, Energy Sources and Materials |
| 22CS201CB | Data Structures | Core | 3 | Introduction to Data Structures, Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting Techniques |
| 22CS202CB | Business Communication and Value Science-I | Core | 3 | Basics of Communication, Listening and Comprehension, Interpersonal Skills, Professional Etiquette, Moral Science and Ethics |
| 22ES201ME | Engineering Graphics & Design | Core | 2 | Introduction to Engineering Drawing, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD Software |
| 22BS251CH | Engineering Chemistry Lab | Lab | 1.5 | Water Analysis Techniques, Redox Titrations, pH Metry and Conductometry, Colorimetry Experiments, Spectrophotometric Analysis |
| 22CS251CB | Data Structures Lab | Lab | 1.5 | Array Operations, Linked List Implementations, Stack and Queue Applications, Tree Traversals, Graph Algorithms Implementation |
| 22ES251ME | Engineering Workshop | Lab | 1.5 | Fitting Shop Practices, Carpentry Shop, Welding Shop, Sheet Metal Shop, House Wiring and Soldering |
| 22CS252CB | Business Communication and Value Science-I Lab | Lab | 1.5 | Role Play Exercises, Group Discussions, Presentation Skills Practice, Basic Interview Skills, Report Writing Fundamentals |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS301MA | Probability and Statistics | Core | 3 | Probability Distributions, Random Variables, Statistical Inference, Hypothesis Testing, Correlation and Regression |
| 22CS301CB | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, File I/O and GUI Basics |
| 22CS302CB | Operating Systems | Core | 3 | Operating System Structures, Process Management, CPU Scheduling, Memory Management, File Systems and I/O Systems |
| 22CS303CB | Database Management Systems | Core | 3 | DBMS Architecture, ER Model and Relational Model, SQL Query Language, Normalization, Transaction Management and Concurrency Control |
| 22HS301CB | Business Communication and Value Science-II | Core | 3 | Professional Communication Strategies, Digital Communication, Negotiation Skills, Ethics in Business, Leadership Fundamentals |
| 22CS351CB | Object Oriented Programming Lab | Lab | 1.5 | Java/C++ Program Design, Class and Object Implementation, Inheritance and Polymorphism Exercises, Exception Handling Practice, Basic GUI Programming |
| 22CS352CB | Operating Systems Lab | Lab | 1.5 | Shell Scripting, Process Management Commands, Inter-Process Communication, CPU Scheduling Algorithm Implementation, Memory Allocation Techniques |
| 22CS353CB | Database Management Systems Lab | Lab | 1.5 | SQL Queries (DDL, DML, TCL), Stored Procedures, Triggers, Database Connectivity (JDBC/ODBC), Database Design and Implementation |
| 22HS351CB | Business Communication and Value Science-II Lab | Lab | 1.5 | Advanced Presentation Techniques, Mock Interviews, Group Dynamics and Teamwork, Corporate Communication Scenarios, Professional Report Writing |
| 22MC301EN | Environmental Science | Mandatory Course | 0 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Sustainable Development, Environmental Impact Assessment |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS401CB | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| 22CS402CB | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| 22CS403CB | Computer Networks | Core | 3 | Network Topologies and Models, Data Link Layer, Network Layer, Transport Layer, Application Layer and Network Security |
| 22HS401CB | Business Economics | Core | 3 | Microeconomics Fundamentals, Macroeconomics Fundamentals, Market Structures and Pricing, Demand, Supply and Elasticity, National Income and Fiscal Policy |
| 22HS402CB | Business Communication and Value Science-III | Core | 3 | Cross-Cultural Communication, Negotiation and Conflict Resolution, Teamwork and Collaboration, Corporate Social Responsibility, Interpersonal Effectiveness |
| 22CS451CB | Design and Analysis of Algorithms Lab | Lab | 1.5 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions, Time and Space Complexity Analysis |
| 22CS452CB | Software Engineering Lab | Lab | 1.5 | UML Diagramming Tools, Requirements Specification Document, Software Design Patterns, Testing Tools (e.g., Selenium), Version Control Systems (Git) |
| 22CS453CB | Computer Networks Lab | Lab | 1.5 | Socket Programming, Network Configuration Commands, Protocol Analysis (Wireshark), Client-Server Applications, Network Security Concepts |
| 22HS451CB | Business Communication and Value Science-III Lab | Lab | 1.5 | Case Study Analysis, Advanced Mock Interviews, Debate and Discussion Sessions, Group Presentations, Effective Meeting Management |
| 22MC401ES | Indian Constitution | Mandatory Course | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Legislature, Indian Judiciary System, Emergency Provisions and Amendments |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS501CB | Formal Languages and Automata Theory | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| 22CS502CB | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 22CS511CB | Data Analytics | Professional Elective | 3 | Introduction to Data Analytics, Data Preprocessing and Cleaning, Exploratory Data Analysis, Predictive Modeling Basics, Data Mining Techniques |
| 22OE5XX | Open Elective-I | Open Elective | 3 | |
| 22HS501CB | Business Communication and Value Science-IV | Core | 3 | Corporate Governance, Business Ethics and CSR, Crisis Communication, Entrepreneurship Fundamentals, Project Management Principles |
| 22CS551CB | Formal Languages and Automata Theory Lab | Lab | 1.5 | FSM Implementation, Regular Expression Parsers, Context-Free Grammar Parsing, Pushdown Automata Simulation, Turing Machine Design |
| 22CS552CB | Compiler Design Lab | Lab | 1.5 | Lexical Analyzer (LEX), Syntax Analyzer (YACC/BISON), Intermediate Code Generation, Symbol Table Management, Error Handling in Compilers |
| 22CS553CB | Data Analytics Lab | Lab | 1.5 | Python for Data Analysis, Data Manipulation with Pandas, Data Visualization (Matplotlib/Seaborn), Basic Machine Learning Algorithms, Statistical Analysis using Python |
| 22CS591CB | Mini Project - I | Project | 2 | Problem Identification, Requirements Analysis, System Design, Implementation and Testing, Project Documentation |
| 22MC501IT | Skill Development Course - I | Skill Course | 0 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS601CB | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving with Search, Knowledge Representation, Machine Learning Basics, Expert Systems and Robotics |
| 22CS602CB | Big Data Analytics | Core | 3 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Programming, Apache Spark, Data Warehousing and Data Streaming |
| 22CS621CB | Cloud Computing | Professional Elective | 3 | Cloud Computing Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security and Management |
| 22OE6XX | Open Elective-II | Open Elective | 3 | |
| 22HS601CB | Business Communication and Value Science-V | Core | 3 | Advanced Negotiation Skills, Conflict Management, Emotional Intelligence, Strategic Communication, Global Business Practices |
| 22CS651CB | Artificial Intelligence Lab | Lab | 1.5 | Python for AI Programming, Implementation of Search Algorithms, Logic Programming (Prolog), Machine Learning Libraries (Scikit-learn), AI Application Development |
| 22CS652CB | Big Data Analytics Lab | Lab | 1.5 | Hadoop HDFS Commands, MapReduce Programming, Apache Spark RDDs, Data Ingestion Tools (Flume, Sqoop), Hive and Pig Scripting |
| 22CS653CB | Cloud Computing Lab | Lab | 1.5 | Virtual Machine Setup, Cloud Service Deployment (AWS EC2, S3), Containerization (Docker), Cloud Storage Solutions, Serverless Computing Concepts |
| 22CS691CB | Mini Project - II | Project | 2 | Advanced Problem Solving, System Design and Architecture, Implementation of Complex Features, Team Collaboration and Management, Project Documentation and Presentation |
| 22MC601IT | Skill Development Course - II | Skill Course | 0 |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS731CB | Deep Learning | Professional Elective | 3 | Neural Networks Fundamentals, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Optimization, Deep Learning Frameworks (TensorFlow/PyTorch) |
| 22CS744CB | Entrepreneurship and Startups | Professional Elective | 3 | Startup Ecosystem in India, Business Plan Development, Funding Strategies and Venture Capital, Marketing and Sales for Startups, Legal Aspects for Startups |
| 22OE7XX | Open Elective-III | Open Elective | 3 | |
| 22CS781CB | Project Work - I | Project | 6 | Comprehensive Project Planning, Advanced System Design, Prototype Development, Continuous Project Evaluation, Technical Report Writing |
| 22CS791CB | Internship | Internship | 2 | Industry Exposure, Real-world Project Experience, Professional Skill Development, Internship Report Submission, Presentation of Work |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS852CB | Cyber Security | Professional Elective | 3 | Network Security Fundamentals, Cryptography and Ciphers, Web Security Vulnerabilities, Malware Analysis and Detection, Incident Response and Forensics |
| 22OE8XX | Open Elective-IV | Open Elective | 3 | |
| 22HS801CB | Business Communication and Value Science-VI | Core | 3 | Global Business Communication, Leadership Ethics, Crisis Management in Business, Corporate Social Responsibility, Personal Branding and Career Strategy |
| 22CS881CB | Project Work - II | Project | 8 | Final Project Development, System Integration and Testing, Deployment and Maintenance, Thesis Writing and Documentation, Viva-Voce Examination |
