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B-SC in Information Technology at GITAM (Gandhi Institute of Technology and Management)
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Information Technology at GITAM (Gandhi Institute of Technology and Management) Visakhapatnam?
This B.Sc. Computer Science and Information Technology program at Gandhi Institute of Technology and Management focuses on building a strong foundation in core computer science principles combined with essential information technology skills. It aims to equip students with the knowledge and practical expertise required for the rapidly evolving digital landscape, catering to the growing demand for skilled IT professionals across various Indian industries and organizations.
Who Should Apply?
This program is ideal for fresh graduates from diverse 10+2 backgrounds who possess a keen interest in programming, data management, and network technologies. It is suitable for those aspiring to enter the IT sector, pursue careers in software development, data analytics, cybersecurity, or cloud computing, or for individuals looking to build a strong technical base for further specialized studies.
Why Choose This Course?
Graduates of this program can expect to secure entry-level roles in software development, IT support, data analysis, and network administration. Entry-level salaries in India typically range from INR 3-5 LPA, with experienced professionals earning significantly more. The strong foundational knowledge provides a robust platform for growth into specialized roles in AI/ML, cloud, and cybersecurity, aligning with industry certifications and future career trajectories.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C and Python)- (Semester 1-2)
Dedicate significant time to practice C and Python programming daily. Utilize online platforms like HackerRank, LeetCode, and GeeksforGeeks to solve diverse coding problems, focusing on logic building, data types, control flow, functions, and object-oriented principles.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python IDLE/VS Code
Career Connection
Strong programming fundamentals are non-negotiable for any IT role, enhancing problem-solving skills crucial for technical interviews and efficient software development.
Build a Strong Mathematical & Logical Base- (Semester 1-2)
Pay close attention to Discrete Mathematics, Calculus, and Probability & Statistics. These subjects form the bedrock of algorithms, data structures, and machine learning. Practice problems regularly and seek clarification from faculty to solidify concepts.
Tools & Resources
NPTEL videos (for concepts), Textbooks, Problem-solving sessions
Career Connection
A robust mathematical foundation is essential for excelling in advanced computing topics, competitive programming, and research-oriented roles, differentiating candidates in the job market.
Engage Actively in Lab Sessions & Projects- (Semester 1-2)
Treat lab sessions as opportunities for hands-on learning. Go beyond prescribed exercises; explore variations and mini-projects. Collaborate with peers, debug effectively, and document your code and findings meticulously to build practical application skills.
Tools & Resources
Lab Manuals, Online IDEs, Version Control (Git)
Career Connection
Practical experience gained in labs directly translates to project work and technical skills required by employers, boosting employability and confidence in practical assessments.
Intermediate Stage
Deep Dive into Data Structures & Algorithms (DSA)- (Semester 3-4)
Actively participate in DSA courses and dedicate time to competitive programming platforms. Understand different data structures and their applications, analyze algorithm complexities, and implement solutions efficiently in C++/Python/Java.
Tools & Resources
CodeChef, TopCoder, AlgoExpert, NPTEL DSA courses
Career Connection
Mastery of DSA is critical for clearing technical rounds in top product-based companies and is fundamental for optimizing software performance and solving complex engineering challenges.
Gain Industry Exposure through Internships/Mini Projects- (Semester 3-5)
Seek out internships, even short-term ones, or work on independent mini-projects relevant to your elective choices (e.g., web development, IoT, mobile apps). Apply theoretical knowledge to solve real-world problems and build a portfolio.
Tools & Resources
LinkedIn, Internshala, GitHub, Local IT companies
Career Connection
Practical industry experience or project work significantly enhances your resume, demonstrates initiative, and provides valuable networking opportunities for future career growth and placements.
Develop Database and Networking Expertise- (Semester 3-4)
Focus on understanding Database Management Systems (SQL, normalization) and Computer Networks (OSI model, protocols). Practice database queries and network configuration in labs, and consider taking online certifications in these areas.
Tools & Resources
SQLZoo, Cisco Packet Tracer, Oracle Academy, Coursera courses
Career Connection
These are foundational skills for almost all IT roles, from backend development and cybersecurity to system administration and cloud architecture, making you a versatile candidate.
Advanced Stage
Specialize and Build a Strong Project Portfolio- (Semester 5-6)
Based on your elective choices (AI, Cloud, Security), dive deep into a specialization. Work on significant, impactful major projects that showcase advanced skills. Participate in hackathons and develop solutions that address real-world challenges.
Tools & Resources
GitHub, Kaggle (for data science), Cloud platforms (AWS, Azure), Blockchain frameworks
Career Connection
A specialized skill set backed by a strong project portfolio makes you highly attractive to employers for targeted roles and demonstrates your ability to apply complex technologies.
Prepare Rigorously for Placements and Higher Studies- (Semester 5-6)
Start dedicated placement preparation, including mock interviews (technical and HR), aptitude tests, and resume building. For higher studies, prepare for entrance exams like GATE/GRE/TOEFL and identify suitable universities/programs.
Tools & Resources
Placement Cell resources, Online aptitude tests, InterviewBit, Study abroad consultants
Career Connection
Proactive preparation is key to securing desirable job offers from top companies or gaining admission to prestigious postgraduate programs, setting the stage for a successful career.
Engage in Continuous Learning and Networking- (Semester 5-6)
Stay updated with emerging technologies through online courses, tech blogs, and industry webinars. Attend professional conferences, connect with alumni and industry experts on LinkedIn, and build a strong professional network.
Tools & Resources
Coursera, Udemy, LinkedIn Learning, TechCrunch, Industry meetups
Career Connection
Continuous learning ensures you remain competitive in the fast-evolving tech industry, while networking opens doors to new opportunities, mentorship, and career advancement.
Program Structure and Curriculum
Eligibility:
- A pass in the Intermediate (10+2) examination or its equivalent with at least 50% aggregate marks in Science/Commerce with Computer Science/Mathematics/Statistics/Business Mathematics/Business Statistics as one of the subjects.
Duration: 3 years (6 semesters)
Credits: 144 Credits
Assessment: Internal: 40% (for theory courses), 50% (for practical courses), External: 60% (for theory courses), 50% (for practical courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BSS101 | English for Skills Enhancement | Skill Enhancement Course (SEC) | 2 | Communication Process, Listening Comprehension, Speaking Skills, Reading Strategies, Writing Techniques |
| 10BSS102 | Environment and Sustainability | Ability Enhancement Compulsory Course (AECC) | 2 | Natural Resources, Ecosystems, Biodiversity Conservation, Environmental Pollution, Sustainable Development |
| 10BMA101 | Calculus and Differential Equations | Core | 4 | Differential Calculus, Integral Calculus, First Order Differential Equations, Higher Order Differential Equations, Partial Differential Equations |
| 10BCS101 | Introduction to Programming | Core | 4 | C Language Fundamentals, Control Flow Statements, Functions and Pointers, Arrays and Strings, Structures and Unions |
| 10BCS102 | Introduction to Programming Lab | Lab | 2 | C Program Structure, Conditional and Loop Constructs, Function Implementation, Array and String Operations, Pointer Arithmetic |
| 10BCS103 | Digital Logic Design | Core | 4 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| 10BCS104 | Digital Logic Design Lab | Lab | 2 | Logic Gates Realization, Boolean Function Simplification, Adders and Subtractors, Flip-Flops and Counters, Registers Design |
| 10BLC001 | Life Skills-1 | Mandatory Non-Credit Course | 0 | Self-Awareness, Interpersonal Communication, Goal Setting, Time Management, Emotional Intelligence |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BSS103 | Professional Communication | Skill Enhancement Course (SEC) | 2 | Workplace Etiquette, Report Writing, Presentation Skills, Group Discussion Techniques, Interview Preparation |
| 10BMA102 | Discrete Mathematical Structures | Core | 4 | Set Theory, Logic and Propositional Calculus, Relations and Functions, Graph Theory, Algebraic Structures |
| 10BCS105 | Object-Oriented Programming with Python | Core | 4 | Python Basics, Object-Oriented Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling and File I/O |
| 10BCS106 | Object-Oriented Programming with Python Lab | Lab | 2 | Python Program Development, OOP Implementation, Data Structures in Python, File Operations, Module Usage |
| 10BCS107 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Tree Traversals, Graphs and Algorithms, Searching and Sorting |
| 10BCS108 | Data Structures Lab | Lab | 2 | Linked List Operations, Stack and Queue Implementations, Binary Tree Traversal, Graph Algorithms, Sorting and Searching Algorithms |
| 10BEC101 | Principles of Electronics | Core | 4 | Semiconductor Diodes, Rectifiers and Filters, Bipolar Junction Transistors, Transistor Biasing, Amplifiers and Oscillators |
| 10BEC102 | Principles of Electronics Lab | Lab | 2 | Diode Characteristics, Rectifier Circuit Design, Transistor Amplifier Circuits, Oscillator Design, Electronic Circuit Simulation |
| 10BLC002 | Life Skills-2 | Mandatory Non-Credit Course | 0 | Critical Thinking, Problem Solving, Decision Making, Creativity, Stress Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BSS201 | Indian Constitution & Statutory Laws | Ability Enhancement Compulsory Course (AECC) | 0 | Constitutional Framework, Fundamental Rights and Duties, Pillars of Democracy, Union and State Governments, Basic Statutory Laws |
| 10BMA201 | Probability and Statistics | Core | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression |
| 10BCS201 | Database Management Systems | Core | 4 | DBMS Concepts, Relational Model, SQL Queries, Normalization, Transaction Management |
| 10BCS202 | Database Management Systems Lab | Lab | 2 | Database Creation, DML and DDL Commands, Joins and Subqueries, Stored Procedures, Trigger Implementation |
| 10BCS203 | Computer Organization and Architecture | Core | 4 | Basic Computer Structure, CPU Organization, Memory System Design, Input/Output Organization, Instruction Set Architecture |
| 10BCS204 | Operating Systems | Core | 4 | OS Introduction, Process Management, CPU Scheduling, Memory Management, File Systems |
| 10BCS205 | Operating Systems Lab | Lab | 2 | Linux Commands, Shell Scripting, Process Synchronization, Memory Allocation Algorithms, File System Calls |
| 10BCS206 | Computer Graphics | Elective (DSE) Option | 3 | Graphics Hardware, Raster Scan Graphics, 2D Geometric Transformations, Clipping Algorithms, 3D Graphics Concepts |
| 10BCS207 | Computer Graphics Lab | Elective (DSE) Option | 1.5 | OpenGL Programming Basics, Line and Circle Drawing, Transformation Implementation, Polygon Filling, Interactive Graphics |
| 10BCS208 | Fundamentals of Web Design | Elective (DSE) Option | 3 | HTML Structure, CSS Styling, JavaScript Basics, Responsive Design Principles, Web Hosting Concepts |
| 10BCS209 | Fundamentals of Web Design Lab | Elective (DSE) Option | 1.5 | HTML Page Creation, CSS Layouts, JavaScript Form Validation, Dynamic Content, Basic Website Deployment |
| 10BLC003 | Life Skills-3 | Mandatory Non-Credit Course | 0 | Personal Branding, Professional Etiquette, Leadership Skills, Conflict Resolution, Team Building |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BSS202 | Ethics & Values | Ability Enhancement Compulsory Course (AECC) | 0 | Ethical Dilemmas, Moral Principles, Professional Ethics, Social Responsibility, Personal Values |
| 10BMA202 | Numerical Methods | Core | 4 | Error Analysis, Solutions of Algebraic Equations, Interpolation Techniques, Numerical Differentiation, Numerical Integration |
| 10BCS210 | Computer Networks | Core | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols |
| 10BCS211 | Computer Networks Lab | Lab | 2 | Network Commands, Socket Programming, Packet Tracers, Network Configuration, Protocol Analysis |
| 10BCS212 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design Principles, Software Testing, Project Management |
| 10BCS213 | Design and Analysis of Algorithms | Core | 4 | Algorithm Complexity, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 10BCS214 | Design and Analysis of Algorithms Lab | Lab | 2 | Sorting and Searching Algorithms, Graph Traversal, Shortest Path Algorithms, Knapsack Problem, Minimum Spanning Tree |
| 10BCS215 | Internet of Things | Elective (DSE) Option | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Cloud Integration, IoT Security |
| 10BCS216 | Internet of Things Lab | Elective (DSE) Option | 1.5 | Arduino/Raspberry Pi Programming, Sensor Interfacing, Data Transmission, Cloud Platform Interaction, IoT Project Development |
| 10BCS217 | Mobile Application Development | Elective (DSE) Option | 3 | Android Development Basics, User Interface Design, Activity Lifecycle, Data Storage, App Deployment |
| 10BCS218 | Mobile Application Development Lab | Elective (DSE) Option | 1.5 | Android Studio Usage, UI Component Implementation, Event Handling, Database Integration, Creating Simple Mobile Apps |
| 10BLC004 | Life Skills-4 | Mandatory Non-Credit Course | 0 | Entrepreneurial Mindset, Startup Ecosystem, Business Model Canvas, Innovation Management, Funding Strategies |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BPE001 | General Pool Elective-I | Elective (GPE) Option | 3 | Interdisciplinary Topics, Skill Development, Emerging Technologies, Domain-Specific Knowledge, Professional Enhancement |
| 10BCS301 | Artificial Intelligence | Core | 4 | AI Foundations, Search Algorithms, Knowledge Representation, Machine Learning Concepts, Natural Language Processing |
| 10BCS302 | Artificial Intelligence Lab | Lab | 2 | Python for AI, Heuristic Search, Prolog/Lisp Programming, Machine Learning Algorithms, Mini AI Project |
| 10BCS304 | Cryptography and Network Security | Elective (DSE) Option | 3 | Security Services, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Digital Signatures |
| 10BCS305 | Cryptography and Network Security Lab | Elective (DSE) Option | 1.5 | Encryption/Decryption Tools, Network Security Configuration, Firewall Rules, VPN Implementation, Cybersecurity Best Practices |
| 10BCS306 | Cloud Computing | Elective (DSE) Option | 3 | Cloud Service Models, Cloud Deployment Models, Virtualization, Cloud Storage, Cloud Security |
| 10BCS307 | Cloud Computing Lab | Elective (DSE) Option | 1.5 | AWS/Azure Services, Virtual Machine Setup, Storage Configuration, Serverless Computing, Cloud APIs Integration |
| 10BCS309 | Machine Learning | Elective (DSE) Option | 3 | ML Basics, Supervised Learning, Unsupervised Learning, Model Evaluation, Ensemble Methods |
| 10BCS310 | Machine Learning Lab | Elective (DSE) Option | 1.5 | Python for ML, Scikit-learn, Data Preprocessing, Model Training, Prediction and Analysis |
| 10BCS311 | Data Analytics | Elective (DSE) Option | 3 | Data Collection Methods, Data Cleaning, Exploratory Data Analysis, Statistical Methods, Data Visualization |
| 10BCS312 | Data Analytics Lab | Elective (DSE) Option | 1.5 | R/Python for Data Analysis, Data Wrangling, Descriptive Statistics, Visualization Tools, Reporting Insights |
| 10BCS313 | Mini Project / Internship | Project | 3 | Problem Identification, Requirement Analysis, Design and Development, Testing and Evaluation, Documentation and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 10BSS301 | Universal Human Values | Ability Enhancement Compulsory Course (AECC) | 0 | Self-Exploration, Human Aspirations, Harmony in Individual, Harmony in Family and Society, Harmony in Nature |
| 10BPE002 | General Pool Elective-II | Elective (GPE) Option | 3 | Interdisciplinary Studies, Advanced Skill Building, Contemporary Issues, Research Methodologies, Professional Development |
| 10BCS315 | Big Data Analytics | Elective (DSE) Option | 3 | Big Data Characteristics, Hadoop Ecosystem, MapReduce Framework, Spark Computing, NoSQL Databases |
| 10BCS316 | Big Data Analytics Lab | Elective (DSE) Option | 1.5 | Hadoop File System, MapReduce Programming, Spark Data Processing, Hive Queries, Big Data Tools |
| 10BCS317 | Data Visualization | Elective (DSE) Option | 3 | Visualization Principles, Chart Types, Data Storytelling, Interactive Dashboards, Visualization Tools |
| 10BCS318 | Data Visualization Lab | Elective (DSE) Option | 1.5 | Tableau/Power BI Basics, Python Visualization Libraries, Creating Custom Visualizations, Dashboard Design, Data Interpretation |
| 10BCS320 | Deep Learning | Elective (DSE) Option | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Deep Learning Frameworks |
| 10BCS321 | Deep Learning Lab | Elective (DSE) Option | 1.5 | TensorFlow/Keras, Image Recognition, Sequence Modeling, Model Training and Tuning, GPU Acceleration |
| 10BCS322 | Blockchain Technology | Elective (DSE) Option | 3 | Blockchain Fundamentals, Consensus Mechanisms, Smart Contracts, Cryptocurrency Concepts, Decentralized Applications |
| 10BCS323 | Blockchain Technology Lab | Elective (DSE) Option | 1.5 | Ethereum Development, Solidity Programming, Smart Contract Deployment, Blockchain Transactions, Decentralized App Creation |
| 10BCS324 | Major Project | Project | 6 | Project Proposal, System Design, Software Implementation, Testing and Debugging, Project Report and Presentation |
