

B-TECH in Information Technology at Birsa Institute of Technology, Sindri


Dhanbad, Jharkhand
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About the Specialization
What is Information Technology at Birsa Institute of Technology, Sindri Dhanbad?
This Information Technology program at Birsa Institute of Technology Sindri focuses on equipping students with core competencies in software development, data management, networking, and emerging technologies. The curriculum is designed to meet the dynamic needs of the Indian IT industry, emphasizing practical skills and theoretical foundations vital for innovation. It aims to foster problem-solving abilities and a strong understanding of IT infrastructure.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, logical reasoning, and a keen interest in computer science and technology. It attracts students aspiring to build careers in software development, cybersecurity, data analytics, or network administration. It is also suitable for those looking to contribute to India''''s burgeoning digital economy, requiring dedication to continuous learning and hands-on problem solving.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as software engineers, data analysts, network administrators, cybersecurity specialists, and IT consultants. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. The program aligns with industry demands, preparing students for roles in both product-based companies and IT service firms, and for higher studies or entrepreneurship.

Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering C programming concepts, data structures, and algorithms. Actively solve problems from various online platforms to build a strong logical foundation.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, learn-c.org
Career Connection
A strong grasp of programming and data structures is fundamental for all IT roles, especially for cracking coding rounds in placements at top companies.
Cultivate Strong Study Habits & Peer Learning- (Semester 1-2)
Establish a consistent study routine, actively participate in class, and form study groups. Regularly discuss complex topics and help peers, reinforcing your own understanding.
Tools & Resources
Library resources, collaborative online whiteboards, class notes
Career Connection
Develops teamwork, communication skills, and problem-solving abilities essential for collaborative projects in the industry.
Explore Basics of Hardware & Software Integration- (Semester 1-2)
Beyond theory, gain practical exposure to basic electrical engineering and computer organization. Understand how software interacts with hardware components through small projects or simulations.
Tools & Resources
Tinkercad Circuits, basic Arduino/Raspberry Pi kits, virtual machine environments
Career Connection
Provides a holistic understanding of IT systems, beneficial for roles in embedded systems, IoT, or IT infrastructure management.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Start working on small, personal projects using the learned programming languages, databases, and web technologies. Contribute to open-source projects or participate in hackathons.
Tools & Resources
GitHub, GitLab, VS Code, Python/Java frameworks
Career Connection
A robust project portfolio is crucial for showcasing practical skills to recruiters and differentiating yourself during placements and internships.
Engage in Industry-Relevant Certifications & Workshops- (Semester 3-5)
Pursue certifications in in-demand technologies like SQL, Python, Java, AWS/Azure fundamentals, or specific development frameworks. Attend workshops organized by the department or external bodies.
Tools & Resources
NPTEL, Coursera, Udemy, edX, industry-specific certification bodies
Career Connection
Validates specialized skills, making you more attractive to employers and opening doors to niche roles in the IT sector.
Network Actively & Seek Mentorship- (Semester 3-5)
Attend webinars, tech talks, and industry events. Connect with alumni and professionals on platforms like LinkedIn. Seek guidance from senior students and faculty for career advice and project ideas.
Tools & Resources
LinkedIn, college alumni networks, departmental seminars
Career Connection
Opens up internship opportunities, provides insights into industry trends, and helps build a professional network vital for long-term career growth.
Advanced Stage
Intensify Placement/Higher Studies Preparation- (Semester 6-8)
Dedicate consistent effort to competitive programming, mock interviews (technical and HR), and resume building. If opting for higher studies, prepare for GRE/GATE and research universities.
Tools & Resources
InterviewBit, PrepInsta, Glassdoor, resume builders, coaching centers
Career Connection
Directly impacts success in securing desirable job placements or admission to postgraduate programs in top institutions.
Specialize Through Electives & Advanced Projects- (Semester 6-8)
Choose professional and open electives strategically to specialize in areas like AI, Cybersecurity, Cloud Computing, or Data Science. Undertake a significant final year project that demonstrates deep understanding and innovative application.
Tools & Resources
Advanced textbooks, research papers, specialized software/platforms
Career Connection
Builds expertise in a chosen domain, making you a specialist for advanced roles and facilitating entry into research & development positions or niche tech companies.
Develop Professional & Leadership Skills- (Semester 6-8)
Participate in leadership roles in student organizations, technical clubs, or manage project teams. Focus on improving soft skills like communication, presentation, and negotiation.
Tools & Resources
College clubs, Toastmasters (if available), workshops on soft skills, project management tools
Career Connection
These skills are highly valued by employers, crucial for career progression into managerial or team lead positions in the IT industry.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 170 Credits
Assessment: Internal: 30% (for theory subjects, varies for labs/projects), External: 70% (for theory subjects, varies for labs/projects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Functions of Several Variables, Integral Calculus, Ordinary Differential Equations, Laplace Transform |
| BS102 | Engineering Physics | Core | 3 | Wave Optics, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electrodynamics |
| BS103 | Engineering Physics Lab | Lab | 1.5 | Optics Experiments, Semiconductor Devices, Laser Characteristics, Magnetic Fields |
| BS104 | Engineering Chemistry | Core | 3 | Water Technology, Corrosion & Control, Engineering Materials, Fuels & Combustion, Electrochemistry & Catalysis |
| BS105 | Engineering Chemistry Lab | Lab | 1.5 | Water Analysis, pH Measurement, Viscosity Determination, Acid-Base Titrations |
| ES101 | Engineering Graphics & Design | Core | 3 | Introduction to Graphics, Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics |
| ES102 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Measuring Instruments |
| ES103 | Basic Electrical Engineering Lab | Lab | 1.5 | Ohm''''s Law Experiments, Kirchhoff''''s Laws, AC Circuit Analysis, Transformer Characteristics |
| ES104 | Programming for Problem Solving | Core | 3 | Programming Fundamentals, Data Types and Variables, Control Structures, Functions, Arrays and Strings |
| ES105 | Programming for Problem Solving Lab | Lab | 1.5 | C Programming, Conditional Statements, Loops and Functions, Array Manipulation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS201 | Engineering Mathematics-II | Core | 4 | Matrices, Vector Calculus, Partial Differential Equations, Complex Analysis, Probability and Statistics |
| ES201 | Engineering Mechanics | Core | 3 | Force Systems, Equilibrium, Friction, Work-Energy Principle, Moment of Inertia |
| ES202 | Workshop Manufacturing Practices | Lab | 1.5 | Carpentry, Fitting, Welding, Machining, Sheet Metal |
| HS201 | English for Communication | Core | 2 | Grammar and Vocabulary, Reading Comprehension, Business Communication, Presentation Skills, Report Writing |
| HS202 | English for Communication Lab | Lab | 1.5 | Listening Practice, Group Discussions, Public Speaking, Presentation Practice |
| PC201 | Data Structure & Algorithm | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| PC202 | Data Structure & Algorithm Lab | Lab | 1.5 | Linked List Implementation, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Programs |
| PC203 | Computer Organization & Architecture | Core | 3 | Basic Computer Functions, CPU Organization, Memory Hierarchy, I/O Organization, Pipelining |
| PC204 | Computer Organization & Architecture Lab | Lab | 1.5 | Assembly Language Programming, CPU Simulation Basics, Memory Addressing Modes |
| MC201 | Environmental Science & Engineering | Mandatory Non-Credit | 0 | Ecosystems, Environmental Pollution, Natural Resources, Biodiversity Conservation, Environmental Legislation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS301 | Engineering Mathematics-III | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Regression Analysis, Sampling Theory |
| PC301 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Counting Principles, Graph Theory, Boolean Algebra |
| PC302 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| PC303 | Digital Electronics Lab | Lab | 1.5 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Flip-Flop Applications |
| PC304 | Object Oriented Programming with C++ | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Exception Handling, File I/O in C++ |
| PC305 | Object Oriented Programming Lab | Lab | 1.5 | C++ Program Development, Class and Object Implementation, Inheritance and Virtual Functions, Operator Overloading |
| PC306 | Operating System | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlock Handling |
| PC307 | Operating System Lab | Lab | 1.5 | Shell Scripting, Process Creation and Synchronization, Memory Allocation Simulation, Linux Commands |
| MC301 | Universal Human Values & Professional Ethics | Mandatory Non-Credit | 0 | Human Values, Ethics and Morality, Professional Ethics, Harmony in Society, Holistic Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC401 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| PC402 | Database Management Systems | Core | 3 | ER Model, Relational Model and Algebra, SQL Queries, Normalization, Transaction Management |
| PC403 | Database Management Systems Lab | Lab | 1.5 | SQL Practice, Database Schema Design, PL/SQL Programming, Database Connectivity |
| PC404 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing, Maintenance and Quality Assurance |
| PC405 | Software Engineering Lab | Lab | 1.5 | UML Diagrams, Case Tools, Software Project Management, Software Testing Techniques |
| PC406 | Communication Engineering | Core | 3 | Analog Modulation, Digital Modulation, Sampling Theorem, Digital Communication Systems, Noise in Communication |
| PC407 | Communication Engineering Lab | Lab | 1.5 | AM/FM Modulation, PCM Encoding/Decoding, Digital Communication Links, Frequency Modulation |
| PC408 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| PC409 | Compiler Design Lab | Lab | 1.5 | Lexical Analyzer using LEX, Parser using YACC, Syntax Directed Translation |
| MC401 | Constitution of India | Mandatory Non-Credit | 0 | Indian Constitution, Fundamental Rights, Directive Principles, Union and State Legislature, Judiciary System |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC501 | Computer Network | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols |
| PC502 | Computer Network Lab | Lab | 1.5 | Network Configuration, Socket Programming, Protocol Simulation (NS2/NS3), Network Monitoring Tools |
| PC503 | Microprocessor & Microcontroller | Core | 3 | 8085/8086 Architecture, Instruction Set and Programming, Memory and I/O Interfacing, Interrupts, 8051 Microcontroller |
| PC504 | Microprocessor & Microcontroller Lab | Lab | 1.5 | Assembly Language Programming (8085/8086), Interfacing with Peripherals, Microcontroller Programming |
| HS501 | Economics for Engineers | Core | 3 | Demand and Supply, Production and Cost Analysis, Market Structures, Macroeconomics Concepts, Project Appraisal Methods |
| PE5XX | Professional Elective – I | Elective | 3 | Artificial Intelligence (Search, KR, ML, NLP), Distributed Systems (Architectures, Consistency, Fault Tolerance), Machine Learning (Supervised, Unsupervised, Deep Learning Basics) |
| OE5XX | Open Elective – I | Elective | 3 | General Elective (Choice from other departments/domains) |
| PW501 | Minor Project – I | Project | 3 | Problem Identification, Literature Review, Design and Implementation, Project Report Preparation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC601 | Information Security | Core | 3 | Cryptography Fundamentals, Network Security, Web Security, Cyber Forensics, Security Policies |
| PC602 | Information Security Lab | Lab | 1.5 | Encryption Algorithm Implementation, Network Security Tools (Wireshark, Nmap), Vulnerability Scanning |
| PC603 | Data Analytics | Core | 3 | Data Collection and Cleaning, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Data Visualization |
| PC604 | Data Analytics Lab | Lab | 1.5 | Data Analysis with R/Python, Statistical Modeling, Data Visualization Tools, Machine Learning Libraries |
| PE6XX | Professional Elective – II | Elective | 3 | Advanced Database Management System (Distributed, Data Warehousing), Internet of Things (Architecture, Protocols, Platforms), Cloud Computing (Architecture, Services, Deployment Models) |
| OE6XX | Open Elective – II | Elective | 3 | General Elective (Choice from other departments/domains) |
| HS601 | Managerial Economics | Core | 3 | Decision Making Techniques, Cost and Revenue Analysis, Pricing Strategies, Market Competition, Capital Budgeting |
| PW601 | Minor Project – II | Project | 3 | Advanced Project Design, Implementation and Testing, System Development, Technical Documentation, Presentation Skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE7XX | Professional Elective – III | Elective | 3 | Cryptography & Network Security (Ciphers, Firewalls, VPNs), Big Data Analytics (Hadoop, Spark, NoSQL), Deep Learning (Neural Networks, CNNs, RNNs) |
| PE7XX | Professional Elective – IV | Elective | 3 | Wireless and Mobile Communication (Networks, Protocols), Natural Language Processing (Models, Parsing, Semantics), Information Retrieval (Models, Web Search, Evaluation) |
| OE7XX | Open Elective – III | Elective | 3 | General Elective (Choice from other departments/domains) |
| OE7XX | Open Elective – IV | Elective | 3 | General Elective (Choice from other departments/domains) |
| IT701 | Industrial Training/Internship | Practical | 4 | Industry Exposure, Practical Skill Application, Technical Report Writing, Project Implementation |
| PW701 | Project Work – I | Project | 3 | Project Problem Definition, System Design, Initial Implementation, Documentation, Project Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE8XX | Professional Elective – V | Elective | 3 | Soft Computing (Fuzzy Logic, Neural Networks, GA), Cyber Law & Ethics (Cybercrime, Data Privacy, IP Laws), Image Processing (Transforms, Enhancement, Segmentation) |
| OE8XX | Open Elective – V | Elective | 3 | General Elective (Choice from other departments/domains) |
| PW801 | Project Work – II | Project | 6 | Advanced System Development, Research Contributions, Large-Scale Implementation, Final Project Defense, Comprehensive Documentation |
| PW802 | Seminar | Seminar | 3 | Technical Presentation, Literature Review, Public Speaking, Research Topic Analysis |




