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BE in Name Information Science And Engineering Seats 135 Average Tuition Fee Approximately Inr 3 12 000 Per Year Merit Quota Inr 20 00 000 1st Year Then Inr 10 00 000 2nd 4th Year Per Year Management Quota at RV College of Engineering
Bengaluru, Karnataka
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About the Specialization
What is {"name": "Information Science and Engineering", "seats": 135, "average_tuition_fee": "Approximately INR 3,12,000 per year (merit quota); INR 20,00,000 (1st year) then INR 10,00,000 (2nd-4th year) per year (management quota)"} at RV College of Engineering Bengaluru?
This Information Science and Engineering program at Rashtreeya Vidyalaya College of Engineering focuses on empowering students with the knowledge and skills to design, develop, and manage information systems effectively. It integrates core computer science principles with data management and analysis, preparing graduates for the evolving digital landscape in India. The program emphasizes both theoretical foundations and practical applications crucial for industries leveraging big data and intelligent systems.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the thriving IT and data industries, particularly those interested in software development, data analytics, and intelligent systems. It also caters to students with a strong aptitude for problem-solving, logical reasoning, and an interest in applying computational methods to real-world information challenges. A background in mathematics and basic programming is beneficial for aspiring candidates.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as software developers, data analysts, AI/ML engineers, database administrators, and cybersecurity specialists. Entry-level salaries typically range from INR 5-8 LPA, growing to INR 15-30 LPA with experience in leading Indian IT firms and startups. The curriculum aligns with certifications in cloud platforms and data science, boosting growth trajectories in high-demand areas within the Indian tech sector.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-2)
Dedicate consistent time to practice programming in C and Java, understanding fundamental data structures and algorithms. Participate in coding challenges regularly to strengthen problem-solving logic and foundational concepts.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, NPTEL online courses
Career Connection
Strong programming fundamentals are non-negotiable for all entry-level IT roles in India, forming the base for technical interviews and efficient code development in companies like TCS, Wipro, and Infosys.
Build a Strong Academic Foundation- (Semester 1-2)
Focus on understanding core engineering science and mathematics concepts thoroughly. Form study groups with peers, utilize faculty office hours, and review previous year question papers for optimal exam preparation.
Tools & Resources
Textbooks, Lecture Notes, Study Groups, RVCE Library resources
Career Connection
A solid academic record, particularly in foundational subjects, reflects diligence and analytical capability, which is highly valued by recruiters for core engineering roles and higher studies.
Engage in Early Skill Development Workshops- (Semester 1-2)
Actively participate in workshops and introductory courses on Python for data science or web development. This exposure helps in identifying areas of interest and building a versatile skill set early on.
Tools & Resources
Coursera/edX introductory courses, RVCE skill development programs, local tech meetups
Career Connection
Early exposure to trending technologies like Python prepares students for modern industry demands, making them more attractive for internships and entry-level positions in analytics and development roles.
Intermediate Stage
Undertake Practical Projects and Internships- (Semester 3-5)
Apply theoretical knowledge by developing mini-projects in areas like DBMS, OS, or AI. Seek out summer internships or part-time projects to gain practical industry exposure and understand real-world development cycles.
Tools & Resources
GitHub for project collaboration, LinkedIn for internship search, college placement cell
Career Connection
Practical projects demonstrate application skills to potential employers. Internships provide invaluable experience, often leading to pre-placement offers at companies like Cognizant or Mindtree.
Network and Participate in Technical Communities- (Semester 3-5)
Engage with industry professionals, alumni, and peers through LinkedIn, college events, and local tech conferences. Join student chapters of professional bodies like IEEE or ACM to expand technical knowledge and network.
Tools & Resources
LinkedIn, RVCE Alumni Network, Local Tech Events/Conferences, IEEE/ACM student chapters
Career Connection
Networking opens doors to mentorship, collaborative projects, and job opportunities not always advertised. Building a professional network is key for long-term career growth in the Indian IT sector.
Specialize through Electives and Certifications- (Semester 3-5)
Carefully choose professional electives aligning with career interests (e.g., Machine Learning, Cyber Security). Complement academic learning with online certifications in specific domains like AWS, Azure, or Data Science.
Tools & Resources
Professional Elective choices, Coursera/Udemy/NPTEL for certifications, AWS/Azure official training
Career Connection
Specialized skills demonstrated through electives and certifications make graduates highly competitive for niche roles in companies seeking experts in cloud, AI, or cybersecurity, commanding better salary packages.
Advanced Stage
Execute a High-Impact Major Project- (Semester 6-8)
Undertake a significant final year project, ideally addressing a real-world industry problem or contributing to research. Focus on innovative solutions, rigorous testing, and comprehensive documentation.
Tools & Resources
Advanced IDEs, Cloud Platforms (AWS/Azure/GCP), Research Papers, Faculty Mentors
Career Connection
A well-executed major project serves as a powerful portfolio item, showcasing problem-solving abilities and practical expertise, crucial for securing placements in top-tier companies and for entrepreneurial ventures.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Engage in rigorous aptitude test preparation, technical interview practice, and mock group discussions. Focus on enhancing communication skills and behavioral aspects, essential for campus placements.
Tools & Resources
Online aptitude platforms, InterviewBit, Glassdoor, RVCE Placement Cell workshops
Career Connection
Thorough preparation is paramount for converting placement opportunities. Excelling in these stages directly leads to securing coveted job offers from leading IT service and product companies across India.
Explore Entrepreneurship and Advanced Studies- (Semester 6-8)
For those inclined, explore entrepreneurship cells, startup incubation programs, or apply for competitive exams like GATE/GRE/GMAT for higher studies in India or abroad. Develop a clear career roadmap.
Tools & Resources
RVCE Incubation Centre, Startup India portal, GATE/GRE/GMAT prep materials, Counselling services
Career Connection
This path caters to aspiring entrepreneurs or those seeking specialized postgraduate degrees, setting them up for leadership roles, research careers, or founding their own tech ventures in India''''s dynamic startup ecosystem.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Mathematics, and one of Chemistry/Biotechnology/Biology/Electronics/Computer Science as compulsory subjects from a recognized board, with an aggregate of at least 45% marks (40% for reserved categories). Must have a valid score in KCET, COMEDK, or JEE Main.
Duration: 8 semesters / 4 years
Credits: 180 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA11 | Calculus and Linear Algebra | Basic Science | 4 | Differential Calculus, Integral Calculus, Vector Algebra, Matrices and Determinants, Eigenvalues and Eigenvectors |
| 22CS12 | Programming for Problem Solving | Engineering Science | 4 | Introduction to C Programming, Control Flow Statements, Functions and Arrays, Pointers and Structures, File Handling |
| 22PH13 | Engineering Physics | Basic Science | 3 | Quantum Mechanics, Solid State Physics, Laser and Photonics, Optical Fibers, Wave Optics |
| 22ME14 | Elements of Mechanical Engineering | Engineering Science | 3 | Thermodynamics, Power Plants, IC Engines, Fluid Mechanics, Manufacturing Processes |
| 22HS15 | Professional Communication and Ethics | Humanities | 2 | Verbal and Non-verbal Communication, Technical Report Writing, Presentation Skills, Ethics in Engineering, Professionalism and Teamwork |
| 22CSL16 | Programming for Problem Solving Lab | Lab | 1 | C Program Execution, Conditional Statements, Looping Constructs, Function Implementation, Array and String Operations |
| 22PHL17 | Engineering Physics Lab | Lab | 1 | Experimental Techniques, Measurement of Physical Constants, Optical Phenomena, Electrical Properties, Material Characterization |
| 22EGH18 | Engineering Graphics | Engineering Science | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to CAD |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA21 | Advanced Calculus and Numerical Methods | Basic Science | 4 | Partial Differential Equations, Vector Calculus, Laplace Transforms, Fourier Series, Numerical Methods for Equations |
| 22IS22 | Data Structures and Applications | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Hashing Techniques, Sorting and Searching Algorithms |
| 22CY23 | Engineering Chemistry | Basic Science | 3 | Electrochemistry and Batteries, Corrosion and its Control, Polymer Chemistry, Water Technology, Fuels and Combustion |
| 22EE24 | Basic Electrical Engineering | Engineering Science | 3 | DC Circuits, AC Fundamentals, Transformers, DC Machines, AC Machines |
| 22HS25 | Environmental Science and Sustainability | Humanities | 2 | Ecosystems and Biodiversity, Environmental Pollution, Waste Management, Climate Change, Sustainable Development Goals |
| 22ISL26 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Binary Tree Traversal, Graph Algorithms, Sorting Algorithm Analysis |
| 22CYL27 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, pH Metry, Conductometry, Colorimetry, Synthesis of Polymers |
| 22ESL28 | Elements of Electronics Engineering | Engineering Science | 2 | Semiconductor Devices, Diodes and Applications, Transistors and Amplifiers, Operational Amplifiers, Digital Logic Gates |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS31 | Discrete Mathematical Structures | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Trees and Connectivity, Combinatorics and Probability |
| 22IS32 | Digital Logic Design | Core | 3 | Boolean Algebra, Combinational Logic, Sequential Logic, Registers and Counters, Memory and Programmable Logic |
| 22IS33 | Object Oriented Programming with Java | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Multithreading and Collections |
| 22IS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Functions, Instruction Sets, CPU Design, Memory Organization, I/O Organization |
| 22IS35 | Data Communication | Core | 3 | Network Models, Physical Layer, Data Link Layer, Error Detection and Correction, Multiplexing and Switching |
| 22ISL36 | Object Oriented Programming Lab | Lab | 1 | Java Class Implementation, Inheritance Examples, Polymorphism Concepts, Exception Handling Practice, Collection Framework Usage |
| 22ISL37 | Digital Logic Design Lab | Lab | 1 | Logic Gates Realization, Combinational Circuit Design, Sequential Circuit Implementation, Flip-Flops and Counters, Experiments with MUX/DEMUX |
| 22IS38 | Mini Project | Project | 1 | Problem Identification, Design and Development, Testing and Debugging, Documentation, Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS41 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 22IS42 | Operating Systems | Core | 4 | OS Structures, Process Management, CPU Scheduling, Memory Management, File Systems |
| 22IS43 | Database Management Systems | Core | 4 | Relational Model, SQL Queries, Database Design, Transaction Management, Concurrency Control |
| 22IS44 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Design Concepts, Software Testing, Project Management |
| 22IS45 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| 22ISL46 | Database Management Systems Lab | Lab | 1 | DDL and DML Commands, SQL Joins, Subqueries, Views and Stored Procedures, Database Normalization |
| 22ISL47 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, CPU Scheduling Algorithms, Deadlock Detection, Memory Allocation Algorithms |
| 22IS48 | Skill Development Lab (Python for Data Science) | Skill | 1 | Python Fundamentals, Numpy and Pandas, Data Visualization with Matplotlib, Data Preprocessing, Basic Machine Learning Libraries |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS51 | Computer Networks | Core | 4 | Network Layer Protocols, Routing Algorithms, Transport Layer Protocols, Application Layer Protocols, Network Security Basics |
| 22IS52 | Artificial Intelligence | Core | 4 | Introduction to AI, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Expert Systems |
| 22IS53 | Web Technologies | Core | 3 | HTML5, CSS3, JavaScript, Client-side Scripting, Server-side Technologies, Database Connectivity, Web Security |
| 22ISE54X | Professional Elective 1 | Elective | 3 | Big Data Analytics, Cloud Computing Basics, Internet of Things Fundamentals, Data Warehousing, Cyber Security Essentials |
| 22ISOE55X | Open Elective 1 | Elective | 3 | Economics for Engineers, Entrepreneurship Development, Product Design, Soft Skills, Total Quality Management |
| 22ISL56 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Packet Analysis, Routing Protocol Implementation, Network Performance Measurement |
| 22ISL57 | Artificial Intelligence Lab | Lab | 1 | Python AI Libraries, Search Algorithm Implementation, Knowledge Representation Practice, Prolog Programming, Simple ML Model Building |
| 22IS58 | Internship / Mini Project (Continuous Evaluation) | Project | 2 | Industry Exposure, Problem Solving, Application Development, Report Writing, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS61 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Neural Networks Basics |
| 22IS62 | Cryptography and Network Security | Core | 4 | Classical Ciphers, Symmetric Key Cryptography, Asymmetric Key Cryptography, Digital Signatures, Network Security Applications |
| 22IS63 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 22ISE64X | Professional Elective 2 | Elective | 3 | Data Mining, Advanced Database Systems, Mobile Application Development, Software Testing and Quality Assurance, Image Processing |
| 22ISOE65X | Open Elective 2 | Elective | 3 | Operations Research, Intellectual Property Rights, Renewable Energy Systems, Additive Manufacturing, Human Rights |
| 22ISL66 | Machine Learning Lab | Lab | 1 | Implementing Classification Algorithms, Clustering Techniques, Regression Models, Feature Engineering, Hyperparameter Tuning |
| 22ISL67 | Compiler Design Lab | Lab | 1 | Lexical Analyzer using LEX, Parser using YACC, Syntax Tree Generation, Intermediate Code Generation, Code Optimization Techniques |
| 22ISP68 | Project Work Phase I | Project | 2 | Problem Statement Definition, Literature Survey, System Design, Module Development, Initial Prototyping |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS71 | Big Data Analytics | Core | 4 | Hadoop Ecosystem, Spark Framework, NoSQL Databases, Data Stream Mining, Big Data Security |
| 22IS72 | Cloud Computing | Core | 4 | Cloud Service Models, Cloud Deployment Models, Virtualization, Cloud Security, Cloud Management |
| 22ISE73X | Professional Elective 3 | Elective | 3 | Deep Learning, Natural Language Processing, Blockchain Technology, DevOps, Reinforcement Learning |
| 22ISE74X | Professional Elective 4 | Elective | 3 | IoT and Smart Systems, Ethical Hacking and Penetration Testing, Software Project Management, Augmented Reality and Virtual Reality, Cyber Forensics |
| 22ISP75 | Project Work Phase II | Project | 6 | System Implementation, Module Integration, Testing and Debugging, Performance Optimization, Project Report Preparation |
| 22IS76 | Technical Seminar | Seminar | 2 | Research Skill Development, Topic Selection, Technical Writing, Presentation Skills, Peer Review |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22ISE81X | Professional Elective 5 | Elective | 3 | Quantum Computing, Game Theory, Robotics and Automation, Geographic Information Systems, Human Computer Interaction |
| 22ISE82X | Professional Elective 6 | Elective | 3 | Software Defined Networks, Edge Computing, Biometrics, Distributed Systems, Digital Marketing and Analytics |
| 22ISP83 | Project Work Phase III | Project | 10 | Final System Integration, Comprehensive Testing, Documentation and Reporting, Project Defense, Deployment Strategies |
| 22IS84 | Internship / Industrial Project | Project | 4 | Real-world Problem Solving, Industry Best Practices, Professional Networking, Project Management, Career Preparedness |
