.png&w=1920&q=75)
B-E in Information Science Engineering at Global Academy of Technology
Bengaluru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Information Science & Engineering at Global Academy of Technology Bengaluru?
This B.E. Information Science & Engineering program at Global Academy of Technology focuses on equipping students with core knowledge in software development, data management, networking, and emerging technologies like AI and Machine Learning. The curriculum is designed to meet the dynamic needs of the Indian IT industry, emphasizing practical skills and theoretical foundations vital for digital transformation and innovation. This program aims to create professionals capable of addressing complex technological challenges.
Who Should Apply?
This program is ideal for high school graduates (10+2 with Physics, Mathematics, and one of Chemistry/Biotechnology/Biology/Electronics/Computer) who are passionate about technology and problem-solving. It''''s suitable for students aspiring to build careers in software development, data analytics, network administration, cybersecurity, or AI/ML engineering within India''''s booming IT sector. The program caters to those seeking a strong technical foundation and practical exposure.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Software Engineers, Data Analysts, Web Developers, Network Administrators, Cybersecurity Analysts, or AI/ML Engineers. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning INR 8-15+ LPA in leading Indian and multinational companies. The program also prepares students for advanced studies and professional certifications in cloud computing, data science, and cybersecurity, aligning with industry demand.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand C/C++ or Java programming basics. Practice coding problems daily on platforms like CodeChef, HackerRank, or GeeksforGeeks to build strong logical thinking and problem-solving abilities, which are crucial for subsequent semesters and placements.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, VS Code
Career Connection
A solid foundation in programming is the bedrock for all IT careers, enabling success in technical interviews and core development roles.
Develop Strong Analytical and Mathematical Skills- (Semester 1-2)
Focus on excelling in Engineering Mathematics, Physics, and Civil/Electrical Engineering concepts. Regularly solve complex problems from textbooks and reference materials. Engage in peer study groups to clarify doubts and tackle challenging numerical and theoretical problems.
Tools & Resources
NPTEL, Khan Academy, Reference textbooks
Career Connection
Robust analytical skills are vital for understanding complex algorithms, data analysis, and contributing to R&D roles in tech companies.
Build a Professional Network Early- (Semester 1-2)
Actively participate in departmental clubs like CSI or IEEE student chapters. Attend college workshops, tech talks, and departmental events. Engage with seniors and faculty to gain insights into academic and career paths, fostering a supportive learning environment.
Tools & Resources
CSI/IEEE student chapters, College tech events
Career Connection
Early networking helps in discovering internship opportunities, understanding industry trends, and building professional connections for future collaborations.
Intermediate Stage
Apply Theoretical Knowledge to Projects- (Semester 3-5)
Beyond lab exercises, actively work on mini-projects that integrate concepts from Data Structures, Operating Systems, and DBMS. Utilize platforms like GitHub for version control and collaborate with peers to develop functional applications, building a strong project portfolio.
Tools & Resources
GitHub, Stack Overflow, TutorialsPoint, IDE like IntelliJ/Eclipse
Career Connection
A strong project portfolio demonstrates practical skills, which is highly valued by recruiters for internships and entry-level positions.
Explore Industry-Relevant Technologies- (Semester 3-5)
Dedicate time to learn technologies beyond the curriculum, such as cloud platforms (AWS, Azure), web development frameworks (React, Angular, Spring Boot), or mobile development. Utilize online courses from Coursera, Udemy, or NPTEL to gain certifications and specialized knowledge.
Tools & Resources
Coursera, Udemy, NPTEL, Official cloud documentation
Career Connection
Acquiring in-demand skills outside the curriculum makes you more competitive for specialized roles and increases your market value.
Participate in Hackathons & Coding Competitions- (Semester 3-5)
Engage in college-level and inter-collegiate hackathons and coding challenges. This provides an excellent platform to apply problem-solving skills under pressure, learn teamwork, network with industry professionals, and gain visibility for potential internships.
Tools & Resources
Devpost, Major League Hacking (MLH), college competition portals
Career Connection
Success in competitions and hackathons showcases your talent, resilience, and teamwork, significantly boosting your resume for tech roles.
Advanced Stage
Specialized Skill Development & Certification- (Semester 6-8)
Based on your interest and career goals, choose professional electives wisely and pursue relevant industry certifications (e.g., AWS Certified Developer, CCNA, Google Data Analytics Professional Certificate). Focus on in-depth understanding and practical application in your chosen specialization.
Tools & Resources
Certification platforms (AWS, Azure, Cisco), NPTEL advanced courses
Career Connection
Specialized skills and certifications validate your expertise, making you a preferred candidate for niche roles in AI, Cyber Security, or Cloud Computing.
Intensive Internship & Project Work- (Semester 6-8)
Treat your mandatory internship as a trial run for a full-time job; actively seek out challenging tasks and contribute meaningfully. For your final year project, choose a real-world problem, deliver tangible outcomes, and ensure comprehensive documentation. Aim for impactful contributions.
Tools & Resources
LinkedIn, Company career pages, Faculty guidance, Research papers
Career Connection
A successful internship can convert into a Pre-Placement Offer (PPO), and an impactful project demonstrates your capability to solve industry problems.
Comprehensive Placement Preparation- (Semester 6-8)
Actively participate in placement training programs offered by the college, focusing on aptitude tests, technical interview skills, mock group discussions, and resume building. Practice coding on competitive programming platforms and stay updated on current industry trends.
Tools & Resources
Placement cell resources, Glassdoor, LeetCode, Mock interview platforms
Career Connection
Thorough preparation ensures you are interview-ready and maximizes your chances of securing a desirable job offer in top IT companies.
Program Structure and Curriculum
Eligibility:
- Passed 2nd PUC/12th Grade or equivalent examination with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics and Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Electronics/Computer.
Duration: 8 semesters / 4 years
Credits: 150 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS12 | Applied Physics for Information Science & Engineering | Core | 4 | Quantum Mechanics, Lasers, Optical Fibers, Dielectric & Magnetic Properties of Materials, Nanoscience & Technology |
| 22ESCS13 | Elements of Civil Engineering and Mechanics | Core | 4 | Introduction to Civil Engineering, Engineering Mechanics, Moment of Inertia, Shear Force and Bending Moment, Centroids |
| 22PCD14 | Programming for Problem Solving | Core | 4 | Introduction to C, Control Structures, Functions, Arrays, Pointers, Structures and Unions |
| 22EGDL15 | Engineering Design & Data Lab | Core | 4 | Basic CAD commands, Orthographic Projections, Sectional Views, Isometric Views, Data Analysis |
| 22EGH16 | Communicative English | Ability Enhancement Course | 1 | Introduction to Communication, Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Language and Vocabulary |
| 22SAMC17 | Scientific Foundations of Health | Skill Enhancement Course | 1 | Health and Wellness, Nutrition, Stress Management, Physical Activity, Mental Health |
| 22AICT18 | AI and Cyber Security | Skill Enhancement Course | 1 | Introduction to AI, Machine Learning Basics, Cyber Security Fundamentals, Network Security, Data Privacy |
| 22FDHS19 | Foundation Design for Human Values and Professional Ethics | Ability Enhancement Course | 1 | Human Values, Ethics in Engineering, Professionalism, Social Responsibility, Environmental Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS21 | Engineering Mathematics-II | Core | 4 | Differential Equations, Laplace Transforms, Vector Calculus, Fourier Series, Partial Differential Equations |
| 22ELCS23 | Basic Electrical and Electronics Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Diodes and Transistors, Operational Amplifiers |
| 22PCD24 | Programming for Problem Solving | Core | 4 | Introduction to C, Control Structures, Functions, Arrays, Pointers, Structures and Unions |
| 22CIV25 | Computer Aided Engineering Graphics | Core | 4 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Perspective Views |
| 22EGH26 | Communicative English | Ability Enhancement Course | 1 | Introduction to Communication, Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Language and Vocabulary |
| 22SAMC27 | Scientific Foundations of Health | Skill Enhancement Course | 1 | Health and Wellness, Nutrition, Stress Management, Physical Activity, Mental Health |
| 22AICT28 | AI and Cyber Security | Skill Enhancement Course | 1 | Introduction to AI, Machine Learning Basics, Cyber Security Fundamentals, Network Security, Data Privacy |
| 22FDHS29 | Foundation Design for Human Values and Professional Ethics | Ability Enhancement Course | 1 | Human Values, Ethics in Engineering, Professionalism, Social Responsibility, Environmental Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS31 | Discrete Mathematical Structures | Core | 3 | Set Theory and Logic, Relations and Functions, Counting Techniques, Graph Theory, Trees, Algebraic Structures |
| 22IS32 | Data Structures and Applications | Core | 4 | Introduction to Data Structures, Arrays and Stacks, Queues, Linked Lists, Trees, Graphs, Sorting and Searching |
| 22IS33 | Computer Organization and Architecture | Core | 3 | Basic Structure of Computers, Machine Instructions, Input/Output Organization, Memory System, Pipelining |
| 22IS34 | Analog and Digital Electronics | Core | 3 | Analog Devices, Digital Logic, Combinational Logic Circuits, Sequential Logic Circuits, Memory and Programmable Logic |
| 22IS35 | Object Oriented Programming with JAVA Laboratory | Lab | 2 | Introduction to Java, Classes and Objects, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Collections Framework |
| 22IS36 | Data Structures Laboratory | Lab | 2 | Implementation of Stacks and Queues, Linked Lists Operations, Tree Traversals, Graph Algorithms, Sorting Algorithms, Searching Algorithms |
| 22IS37 | Constitution of India, Professional Ethics and Cyber Law | Mandatory Non-Credit | 1 | Constitutional Framework, Fundamental Rights, Professional Ethics, Cyber Law, IT Act and Amendments |
| 22IS38 | Environmental Studies | Mandatory Non-Credit | 1 | Ecosystems and Biodiversity, Environmental Pollution, Water Resources, Energy Resources, Environmental Legislation and Impact Assessment |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS41 | Design and Analysis of Algorithms | Core | 3 | Introduction to Algorithms, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| 22IS42 | Operating Systems | Core | 4 | Introduction to OS, Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems |
| 22IS43 | Microcontrollers and Embedded Systems | Core | 3 | Microcontroller Architecture, Instruction Set, I/O Interfacing, Timers and Counters, Interrupts, Embedded System Concepts |
| 22IS44 | Database Management Systems | Core | 3 | Introduction to DBMS, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| 22IS45 | Operating Systems and Microcontrollers Laboratory | Lab | 2 | Linux Commands, Shell Scripting, Process Management, Microcontroller Programming, Interfacing with Peripherals |
| 22IS46 | Database Management Systems Laboratory | Lab | 2 | SQL Queries, Advanced SQL Features, Stored Procedures, Triggers, Database Design, Mini Project Development |
| 22IS47 | Communicative English (AEC) | Ability Enhancement Course | 1 | Introduction to Communication, Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Language and Vocabulary |
| 22IS48 | Universal Human Values | Mandatory Non-Credit | 1 | Understanding Harmony, Human-Human Relationship, Understanding Society, Understanding Nature, Holistic Perception |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS51 | Automata Theory and Computability | Core | 3 | Introduction to Automata, Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| 22IS52 | Computer Networks | Core | 4 | Network Models (OSI/TCP-IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 22IS53 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Design Concepts, Software Testing, Software Project Management |
| 22ISEE541 | Advanced Java Programming | Professional Elective - 1 | 3 | Collections Framework, Multithreading, JDBC, Servlets and JSP, Spring Framework Basics |
| 22ISEE542 | Computer Graphics and Visualization | Professional Elective - 1 | 3 | Graphics Primitives, 2D/3D Transformations, Viewing and Clipping, Projections, Shading and Rendering |
| 22ISEE543 | Data Mining and Data Warehousing | Professional Elective - 1 | 3 | Data Preprocessing, Data Warehousing, OLAP, Association Rule Mining, Classification and Clustering |
| 22ISEE544 | Cloud Computing | Professional Elective - 1 | 3 | Cloud Computing Models, Virtualization, Cloud Services (IaaS, PaaS, SaaS), Cloud Security, Big Data on Cloud |
| 22ISOE55X | Open Elective - 1 | Open Elective | 3 | Various Open Electives from other engineering disciplines are offered. |
| 22ISL56 | Web Technologies Laboratory | Lab | 2 | HTML and CSS, JavaScript and DOM, Server-Side Scripting (PHP/Python), Database Connectivity, Web Frameworks Basics |
| 22ISP57 | Mini Project | Project | 2 | Project Planning, Design and Implementation, Testing and Debugging, Documentation, Presentation |
| 22ISS58 | Skill Development Course - 1 | Skill Enhancement Course | 1 | Aptitude Training, Soft Skills, Technical Communication, Problem-Solving Techniques, Teamwork |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS61 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Runtime Environments |
| 22IS62 | Artificial Intelligence | Core | 4 | Introduction to AI, Problem Solving, Knowledge Representation, Machine Learning Basics, Expert Systems, Natural Language Processing |
| 22IS63 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning Basics, Model Evaluation |
| 22ISEE641 | Data Science | Professional Elective - 2 | 3 | Statistics for Data Science, Data Visualization, Predictive Modeling, Big Data Technologies, Data Ethics |
| 22ISEE642 | Wireless Sensor Networks | Professional Elective - 2 | 3 | Sensor Network Architecture, MAC Protocols, Routing Protocols, Localization and Time Synchronization, Security in WSNs |
| 22ISEE643 | Advanced Database Management Systems | Professional Elective - 2 | 3 | Distributed Databases, Object-Oriented Databases, Data Warehousing, Big Data Concepts, NoSQL Databases |
| 22ISEE644 | Software Architecture and Design Patterns | Professional Elective - 2 | 3 | Architectural Styles, Design Principles, Creational Patterns, Structural Patterns, Behavioral Patterns |
| 22ISOE65X | Open Elective - 2 | Open Elective | 3 | Various Open Electives from other engineering disciplines are offered. |
| 22ISL66 | Machine Learning Laboratory | Lab | 2 | Data Preprocessing, Supervised Learning Models (Python/R), Unsupervised Learning Models, Model Evaluation and Hyperparameter Tuning, Mini Projects |
| 22ISS67 | Skill Development Course - 2 | Skill Enhancement Course | 1 | Advanced Aptitude, Interview Skills, Resume Building, Group Discussions, Presentation Skills |
| 22ISI68 | Internship | Internship | 2 | Industry Exposure, Practical Skill Application, Project Implementation, Professional Development, Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS71 | Network Security | Core | 3 | Cryptography Fundamentals, Symmetric-key Cryptography, Asymmetric-key Cryptography, Network Security Protocols (IPSec, SSL/TLS), Web Security, Malware and Viruses |
| 22ISEE721 | Big Data Analytics | Professional Elective - 3 | 3 | Hadoop Ecosystem, MapReduce, Spark, NoSQL Databases, Data Streaming |
| 22ISEE722 | Digital Image Processing | Professional Elective - 3 | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Image Segmentation |
| 22ISEE723 | Blockchain Technology | Professional Elective - 3 | 3 | Cryptocurrency Basics, Distributed Ledger Technology, Smart Contracts, Consensus Mechanisms, Blockchain Platforms |
| 22ISEE724 | Internet of Things | Professional Elective - 3 | 3 | IoT Architecture, IoT Protocols, IoT Platforms, Sensor Interfacing, IoT Applications |
| 22ISEE731 | Advanced Computer Architecture | Professional Elective - 4 | 3 | Processor Design, Memory Hierarchy, Pipelining, Parallelism, Multicore Processors |
| 22ISEE732 | Deep Learning | Professional Elective - 4 | 3 | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Generative Models |
| 22ISEE733 | Human-Computer Interaction | Professional Elective - 4 | 3 | User Interface Design, Usability Principles, Interaction Paradigms, Evaluation Techniques, User Experience (UX) Principles |
| 22ISEE734 | Quantum Computing | Professional Elective - 4 | 3 | Quantum Mechanics Basics, Qubits and Quantum Gates, Quantum Algorithms, Quantum Cryptography, Quantum Error Correction |
| 22ISP74 | Project Work Phase - 1 | Project | 2 | Literature Survey, Problem Definition, System Design, Module Development, Report Writing |
| 22ISS75 | Skill Development Course - 3 | Skill Enhancement Course | 1 | Domain-specific advanced skills, Technical writing, Entrepreneurship basics, Advanced programming tools, Leadership skills |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22ISEE811 | Cyber Forensics | Professional Elective - 5 | 3 | Digital Evidence Collection, Investigation Process, Tools and Techniques, Network Forensics, Mobile Forensics |
| 22ISEE812 | Ethical Hacking | Professional Elective - 5 | 3 | Penetration Testing, Vulnerability Assessment, Web Application Hacking, Network Hacking, Wireless Hacking |
| 22ISEE813 | Business Intelligence | Professional Elective - 5 | 3 | Data Warehousing, OLAP, Data Mining for BI, Reporting Tools, Dashboards and Scorecards |
| 22ISEE814 | Agile Technologies | Professional Elective - 5 | 3 | Agile Principles and Values, Scrum Framework, Kanban, Lean Software Development, Extreme Programming |
| 22ISP82 | Project Work Phase - 2 | Project | 7 | Advanced Implementation, System Testing and Integration, Performance Evaluation, Final Documentation, Project Presentation |
| 22ISS83 | Internship / Advanced Skill Development | Skill Enhancement Course | 3 | Practical Industry Experience (if not done previously), Advanced Technical Skills, Professional Certifications, Entrepreneurial Skills, Research Methodology |
| 22ISS84 | Technical Seminar | Skill Enhancement Course | 2 | Literature Review on advanced topics, Technical Report Writing, Effective Presentation Skills, Q&A and Discussion, Research Topic Selection |
