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B-TECH in Information Technology at Vignan's Foundation for Science, Technology and Research
Guntur, Andhra Pradesh
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About the Specialization
What is Information Technology at Vignan's Foundation for Science, Technology and Research Guntur?
This Information Technology (IT) program at Vignan''''s Foundation for Science, Technology and Research focuses on equipping students with comprehensive knowledge in core computing, data science, artificial intelligence, and cybersecurity. It aligns with the rapid digital transformation witnessed in the Indian industry, preparing graduates for cutting-edge roles and technological innovation. The program emphasizes a blend of theoretical foundations and practical application, crucial for the evolving tech landscape in India.
Who Should Apply?
This program is ideal for aspiring engineers and tech enthusiasts who possess a strong analytical mindset and a keen interest in problem-solving using computational methods. It caters to fresh 10+2 graduates with a background in Physics, Chemistry, and Mathematics (PCM) seeking to build a career in software development, data analytics, cloud computing, or cybersecurity. It also serves as a strong foundation for those aiming for higher studies or entrepreneurship in the Indian IT sector.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles such as Software Engineer, Data Scientist, Cloud Architect, Cybersecurity Analyst, and IT Consultant. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 10-25 LPA. The robust curriculum prepares students for industry-recognized certifications and provides a growth trajectory towards leadership and specialist roles within major Indian IT companies and burgeoning startups.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding and practicing C, Java, and Python programming. Focus on data structures and algorithms (DSA) from the first year, as it forms the backbone of all future IT subjects and competitive programming. Utilize online platforms for regular coding challenges.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on Programming and DSA
Career Connection
Strong programming fundamentals are non-negotiable for placements in any IT role, especially for product-based companies and competitive exams.
Build a Strong Academic Base- (Semester 1-2)
Concentrate on core engineering science courses like Digital Logic Design, Computer Organization, and Discrete Mathematics. These subjects provide the theoretical bedrock for advanced topics and help develop logical reasoning crucial for IT problem-solving. Engage in group study sessions.
Tools & Resources
Textbooks and reference books, Class notes and faculty office hours, Peer study groups
Career Connection
A solid academic foundation is essential for understanding advanced concepts and performing well in technical interviews and graduate entrance exams.
Engage in Early Skill Building & Workshops- (Semester 1-2)
Participate actively in IT workshops, attend introductory seminars on emerging technologies, and learn basic tools like Git, Linux commands, and office suites. These practical skills complement theoretical knowledge and prepare you for subsequent project work.
Tools & Resources
Git tutorials (e.g., Atlassian Git tutorial), Linux command line guides, College IT workshops and clubs
Career Connection
Early exposure to tools and basic practical skills makes you more adaptable and valuable for initial internships and projects.
Intermediate Stage
Deep Dive into Core IT Domains- (Semester 3-5)
Focus on applying theoretical knowledge from Database Management Systems, Operating Systems, Computer Networks, and Software Engineering. Work on mini-projects related to these subjects to gain hands-on experience and build a portfolio. Join relevant technical clubs.
Tools & Resources
MySQL/PostgreSQL, Wireshark, Visual Studio Code, GitHub for version control, DBMS/OS/CN simulation tools
Career Connection
Proficiency in core IT domains is crucial for specialized roles and demonstrates practical problem-solving abilities to recruiters.
Explore Specializations through Electives and Projects- (Semester 3-5)
Begin exploring areas like AI/ML, Cloud Computing, or Data Science. Choose electives strategically and undertake projects in these fields. Participating in hackathons and coding competitions can further hone your skills and expand your network.
Tools & Resources
Kaggle, Google Colab, AWS Free Tier, GitHub, Inter-college hackathons
Career Connection
Specialized skills and demonstrable projects make you a strong candidate for targeted roles in emerging technologies and showcase your passion.
Network and Seek Mentorship- (Semester 3-5)
Attend industry talks, webinars, and college alumni events. Connect with faculty mentors and seniors for guidance on career paths, project ideas, and industry insights. Building a professional network early on can open doors to internships and opportunities.
Tools & Resources
LinkedIn, College alumni network platforms, Department faculty, Industry conferences (online/offline)
Career Connection
Networking is vital for discovering hidden job opportunities, getting referrals, and gaining valuable career advice from experienced professionals.
Advanced Stage
Undertake Industry Internships and Major Projects- (Semester 6-8)
Secure a relevant industry internship (minimum 6 months if possible) to gain real-world experience. For your final year project, choose a complex problem statement aligned with your specialization interests and work diligently to develop a robust solution.
Tools & Resources
Internshala, LinkedIn Jobs, Company career pages, Faculty for project guidance
Career Connection
Internships are often a direct path to pre-placement offers, and a strong final year project is a key talking point in interviews, showcasing your practical skills.
Intensify Placement Preparation- (Semester 6-8)
Dedicatedly practice aptitude tests, technical interview questions (DSA, OS, DBMS, Networks), and soft skills. Participate in mock interviews and group discussions. Refine your resume and LinkedIn profile to highlight projects and skills.
Tools & Resources
Placement training cells, Online aptitude platforms (e.g., IndiaBix), InterviewBit, Resume builders and LinkedIn optimization guides
Career Connection
Thorough preparation for all stages of the recruitment process significantly increases your chances of securing a desirable placement.
Develop Professional and Ethical Acumen- (Semester 6-8)
Engage with subjects like Professional Practice, Law and Ethics to understand industry best practices, intellectual property rights, and ethical responsibilities of an IT professional. Cultivate effective communication and teamwork skills, which are highly valued in the corporate world.
Tools & Resources
Professional Ethics textbooks, Workshops on soft skills and communication, Team-based project work
Career Connection
Beyond technical skills, strong professional ethics and soft skills are critical for long-term career success and leadership roles in the Indian IT sector.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject and obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together. Admission is based on the score obtained in JEE (Mains)/EAMCET.
Duration: 4 years (8 semesters)
Credits: 152 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22HS101T | English Language Skills | Humanities and Social Sciences including Management Courses (HSMC) | 3 | Vocabulary and Grammar, Reading Comprehension, Writing Skills, Listening and Speaking, Soft Skills |
| 22BS101T | Engineering Physics | Basic Science Course (BSC) | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Semiconductor Physics, Magnetic and Dielectric Properties |
| 22BS102T | Engineering Chemistry | Basic Science Course (BSC) | 3 | Water Technology, Electrochemistry and Batteries, Corrosion and its Control, Polymer Chemistry, Advanced Engineering Materials |
| 22BS103T | Linear Algebra and Differential Equations | Basic Science Course (BSC) | 3 | Matrices, Linear Systems of Equations, First Order Differential Equations, Higher Order Linear Differential Equations, Applications of Differential Equations |
| 22ES101T | Problem Solving and Programming with C | Engineering Science Course (ESC) | 3 | Programming Fundamentals, Operators and Control Statements, Functions and Pointers, Arrays and Strings, Structures and Unions, File Handling |
| 22HS101L | English Language Skills Lab | Humanities and Social Sciences including Management Courses (HSMC) | 1.5 | Phonetics, Group Discussions, Presentations, Interviews, Public Speaking |
| 22ES101L | C Programming Lab | Engineering Science Course (ESC) | 1.5 | Conditional Statements, Looping Constructs, Functions and Recursion, Arrays and Pointers, File Operations |
| 22ES102L | Engineering Workshop | Engineering Science Course (ESC) | 1.5 | Carpentry, Fitting, Welding, Foundry, Sheet Metal |
| 22MC101 | Environmental Science | Mandatory Course (MC) | 0 | Ecosystems, Biodiversity, Environmental Pollution, Natural Resources, Environmental Management |
| 22IT101 | Design Thinking | Engineering Science Course (ESC) | 0 | Introduction to Design Thinking, Empathize Phase, Define Phase, Ideate Phase, Prototype and Test |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS104T | Probability, Statistics & Numerical Methods | Basic Science Course (BSC) | 3 | Probability Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression, Numerical Methods |
| 22ES102T | Digital Logic Design | Engineering Science Course (ESC) | 3 | Boolean Algebra, Combinational Logic, Sequential Logic, Registers and Counters, Memory and Programmable Logic |
| 22ES103T | Data Structures | Engineering Science Course (ESC) | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Hashing Techniques, Sorting and Searching |
| 22ES104T | Python Programming | Engineering Science Course (ESC) | 3 | Python Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming, File Handling |
| 22ES105T | Object Oriented Programming through Java | Engineering Science Course (ESC) | 3 | Java Basics, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading, Collections Framework |
| 22ES103L | Data Structures Lab | Engineering Science Course (ESC) | 1.5 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Algorithms |
| 22ES104L | Python Programming Lab | Engineering Science Course (ESC) | 1.5 | Basic Python Programs, Functions and Modules, File Operations, Object-Oriented Concepts, Data Visualization Libraries |
| 22ES105L | Object Oriented Programming through Java Lab | Engineering Science Course (ESC) | 1.5 | Classes and Objects, Inheritance and Interfaces, Packages and Access Modifiers, Exception Handling, GUI Programming |
| 22MC102 | Indian Constitution | Mandatory Course (MC) | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Judiciary, Constitutional Amendments |
| 22IT201 | IT Workshop | Engineering Science Course (ESC) | 3 | PC Hardware, Operating System Installation, Networking Basics, Software Tools, Troubleshooting |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS201T | Discrete Mathematics | Basic Science Course (BSC) | 3 | Mathematical Logic, Set Theory and Relations, Functions and Counting, Graph Theory, Algebraic Structures |
| 22ES201T | Computer Organization and Architecture | Engineering Science Course (ESC) | 3 | Basic Computer Structure, Central Processing Unit, Memory Organization, Input/Output Organization, Pipelining and Parallel Processing |
| 22ES202T | Database Management Systems | Engineering Science Course (ESC) | 3 | Database Concepts, Relational Model, SQL Queries, Database Design, Transaction Management |
| 22ES203T | Operating Systems | Engineering Science Course (ESC) | 3 | Operating System Overview, Process Management, Memory Management, File Systems, I/O Systems |
| 22ES204T | Computer Networks | Engineering Science Course (ESC) | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 22ES202L | Database Management Systems Lab | Engineering Science Course (ESC) | 1.5 | SQL Commands, Database Creation, Data Manipulation, Joins and Subqueries, PL/SQL Programming |
| 22ES203L | Operating Systems Lab | Engineering Science Course (ESC) | 1.5 | Linux Commands, Shell Scripting, Process Management, CPU Scheduling Algorithms, Memory Allocation |
| 22ES204L | Computer Networks Lab | Engineering Science Course (ESC) | 1.5 | Network Configuration, Socket Programming, Protocol Implementation, Packet Tracing, Network Security Tools |
| 22MC201 | Essence of Indian Traditional Knowledge | Mandatory Course (MC) | 0 | Indian Knowledge Systems, Yoga and Ayurveda, Traditional Indian Arts, Indian Philosophy, Environmental Ethics in India |
| 22IT301 | Web Technologies | Program Core Course (PCC) | 1.5 | HTML and CSS, JavaScript Fundamentals, DOM Manipulation, Server-side Scripting (PHP/Node.js concepts), Web Security |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22HS201T | Managerial Economics and Financial Analysis | Humanities and Social Sciences including Management Courses (HSMC) | 3 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Financial Accounting, Capital Budgeting |
| 22ES205T | Design and Analysis of Algorithms | Engineering Science Course (ESC) | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Hard and NP-Complete Problems |
| 22IT401T | Software Engineering | Program Core Course (PCC) | 3 | Software Development Life Cycle, Requirement Engineering, Software Design, Software Testing, Software Project Management |
| 22IT402T | Data Warehousing and Data Mining | Program Core Course (PCC) | 3 | Data Warehousing Concepts, Data Cube and OLAP, Data Preprocessing, Association Rule Mining, Classification and Clustering |
| 22IT403T | Artificial Intelligence | Program Core Course (PCC) | 3 | Introduction to AI, Problem Solving with Search, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| 22ES205L | Design and Analysis of Algorithms Lab | Engineering Science Course (ESC) | 1.5 | Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Implementations, Time Complexity Analysis |
| 22IT401L | Software Engineering Lab | Program Core Course (PCC) | 1.5 | UML Diagrams, Requirement Analysis Tools, Testing Frameworks, Version Control Systems, Project Management Tools |
| 22IT402L | Data Warehousing and Data Mining Lab | Program Core Course (PCC) | 1.5 | Data Extraction and Loading, Data Preprocessing, Association Rule Mining Tools, Classification Algorithms, Clustering Techniques |
| 22MC202 | Yoga and Meditation | Mandatory Course (MC) | 0 | Introduction to Yoga, Asanas and Pranayama, Meditation Techniques, Stress Management, Holistic Well-being |
| 22IT404 | Competitive Programming | Program Core Course (PCC) | 1.5 | Problem Solving Strategies, Data Structures for CP, Algorithm Paradigms, Debugging Techniques, Online Judge Platforms |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22HS301T | Professional Ethics and Human Values | Humanities and Social Sciences including Management Courses (HSMC) | 3 | Human Values, Engineering Ethics, Professionalism, Moral Autonomy, Global Issues |
| 22IT501T | Object Oriented Software Engineering | Program Core Course (PCC) | 3 | OO Concepts in Software Engineering, UML for OOSE, OO Analysis and Design, Design Patterns, OO Testing |
| 22IT502T | Cloud Computing | Program Core Course (PCC) | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security |
| 22IT503T | Machine Learning | Program Core Course (PCC) | 3 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation |
| 22IT504T | Professional Elective - I | Professional Elective Course (PEC) | 3 | Data Visualization, Functional Programming, Software Metrics and Quality Assurance, Mobile Application Development, Robotic Process Automation |
| 22OEC | Open Elective - I | Open Elective Course (OEC) | 3 | Disaster Management, Cyber Law, Intellectual Property Rights, Renewable Energy Sources, Human Rights |
| 22IT501L | Object Oriented Software Engineering Lab | Program Core Course (PCC) | 1.5 | Case Study Analysis, UML Modeling Tools, Design Pattern Implementation, Refactoring Techniques, Automated Testing Frameworks |
| 22IT502L | Cloud Computing Lab | Program Core Course (PCC) | 1.5 | AWS/Azure/GCP Basics, Virtual Machine Deployment, Storage Services, Serverless Computing, Containerization |
| 22IT503L | Machine Learning Lab | Program Core Course (PCC) | 1.5 | Python ML Libraries (Scikit-learn), Supervised Learning Models, Unsupervised Learning Models, Feature Engineering, Model Evaluation Metrics |
| 22IT505 | Technical Skill Development Course | Program Core Course (PCC) | 0 | Advanced Python/Java, Web Development Frameworks, Data Analysis Tools, Version Control (Git), Problem-solving sessions |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22HS302T | Industrial Management | Humanities and Social Sciences including Management Courses (HSMC) | 3 | Principles of Management, Organizational Structures, Operations Management, Human Resource Management, Marketing Management |
| 22IT601T | Cyber Security | Program Core Course (PCC) | 3 | Security Concepts, Network Security, Cryptography, Web Security, Cyber Law and Ethics |
| 22IT602T | Big Data Analytics | Program Core Course (PCC) | 3 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Programming, Spark Framework, Big Data Tools |
| 22IT603T | Deep Learning | Program Core Course (PCC) | 3 | Neural Network Fundamentals, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks, Generative Models |
| 22IT604T | Professional Elective - II | Professional Elective Course (PEC) | 3 | Distributed Computing, Software Project Management, Advanced Data Structures, Game Development, Full Stack Development |
| 22OEC | Open Elective - II | Open Elective Course (OEC) | 3 | Operations Research, Entrepreneurship Development, Industrial Safety, E-commerce, Green Technologies |
| 22IT601L | Cyber Security Lab | Program Core Course (PCC) | 1.5 | Vulnerability Assessment, Network Scanning, Firewall Configuration, Cryptography Tools, Intrusion Detection Systems |
| 22IT602L | Big Data Analytics Lab | Program Core Course (PCC) | 1.5 | HDFS Operations, MapReduce Programs, Spark Data Processing, Hive and Pig, NoSQL Databases |
| 22IT603L | Deep Learning Lab | Program Core Course (PCC) | 1.5 | TensorFlow/Keras Basics, CNN for Image Classification, RNN for Sequence Data, Transfer Learning, Hyperparameter Tuning |
| 22IT605 | Mini Project with Seminar | Program Core Course (PCC) | 1.5 | Problem Identification, Literature Review, System Design, Implementation and Testing, Project Documentation and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT701T | Data Science | Program Core Course (PCC) | 3 | Data Science Fundamentals, Statistical Modeling, Exploratory Data Analysis, Feature Engineering, Predictive Analytics |
| 22IT702T | Professional Elective - III | Professional Elective Course (PEC) | 3 | Blockchain Technologies, Natural Language Processing, Internet of Things (IoT), Image Processing, User Interface/User Experience (UI/UX) Design |
| 22IT703T | Professional Elective - IV | Professional Elective Course (PEC) | 3 | Quantum Computing, Augmented and Virtual Reality, Ethical Hacking, Software Quality Assurance, Bioinformatics |
| 22OEC | Open Elective - III | Open Elective Course (OEC) | 3 | Intellectual Property Rights, Project Management, Total Quality Management, Financial Management, Supply Chain Management |
| 22IT701L | Data Science Lab | Program Core Course (PCC) | 1.5 | Data Cleaning and Transformation, Statistical Analysis with R/Python, Data Visualization Techniques, Predictive Modeling, Case Studies |
| 22IT704 | Internship | Program Core Course (PCC) | 6 | Industry Exposure, Practical Skill Application, Problem Solving in Real-world, Professional Networking, Report Writing |
| 22IT705 | Project Part - I | Program Core Course (PCC) | 6 | Project Proposal, Requirement Gathering, System Design, Initial Implementation, Progress Reporting |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT801T | Professional Elective - V | Professional Elective Course (PEC) | 3 | Human Computer Interaction, Agent-Based Systems, Edge Computing, Game Theory, Social Network Analysis |
| 22OEC | Open Elective - IV | Open Elective Course (OEC) | 3 | Foreign Language, Entrepreneurial Finance, Digital Marketing, Psychology, Constitution of India and Professional Ethics |
| 22IT803 | Project Part - II | Program Core Course (PCC) | 8 | Advanced Implementation, Testing and Validation, Performance Optimization, Final Documentation, Project Defense |
| 22IT804 | Professional Practice, Law and Ethics | Humanities and Social Sciences including Management Courses (HSMC) | 2 | Engineering Profession, Legal Aspects in IT, Intellectual Property Rights, Cyber Ethics, Professional Communication |
