

B-SC in It at Rashtrasant Tukadoji Maharaj Nagpur University


Nagpur, Maharashtra
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About the Specialization
What is IT at Rashtrasant Tukadoji Maharaj Nagpur University Nagpur?
This B.Sc IT program at Rashtrasant Tukadoji Maharaj Nagpur University focuses on providing a strong foundation in information technology, covering essential programming, data management, networking, and emerging tech like AI and IoT. The curriculum is designed to meet the growing demand for skilled IT professionals in India, emphasizing both theoretical knowledge and practical application, preparing students for diverse roles in the dynamic Indian IT sector.
Who Should Apply?
This program is ideal for 10+2 science graduates with a keen interest in computing and technology, seeking entry into the thriving IT industry. It caters to freshers aspiring for software development, network administration, data analysis, or web development roles, and also serves as a foundational step for those aiming for higher studies in IT-related fields.
Why Choose This Course?
Graduates of this program can expect to pursue various career paths such as Software Developer, Web Designer, Database Administrator, Network Engineer, and IT Support Specialist in Indian companies. Entry-level salaries typically range from INR 2.5 LPA to 4.5 LPA, with significant growth trajectories for experienced professionals. The comprehensive curriculum also aids in preparing for industry-recognized certifications.

Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice core programming concepts in C and C++ through daily coding challenges. Understand data structures deeply as they are the building blocks for efficient algorithms.
Tools & Resources
GeeksforGeeks, HackerRank, LeetCode (for basics), FreeCodeCamp, YouTube tutorials for C/C++
Career Connection
Strong programming fundamentals are non-negotiable for entry-level developer roles. Companies like TCS, Infosys, Wipro heavily test these skills during recruitment drives.
Build a Strong Academic Base- (Semester 1-2)
Focus on understanding core theoretical subjects like Discrete Mathematics and Digital Electronics thoroughly. Regular revision and problem-solving will solidify conceptual clarity, which is vital for advanced topics.
Tools & Resources
NPTEL lectures, Khan Academy, Reference textbooks (e.g., Schaum''''s Outlines)
Career Connection
A robust theoretical foundation helps in understanding complex IT systems and passing technical aptitude tests, crucial for both campus placements and competitive exams.
Enhance Communication Skills- (Semester 1-2)
Actively participate in communication labs and group discussions. Practice public speaking and report writing to articulate technical ideas clearly, a skill highly valued in professional environments.
Tools & Resources
Toastmasters International (local clubs), Online English grammar courses, Reading business news
Career Connection
Effective communication is essential for client interaction, team collaboration, and interview performance, significantly impacting career progression in the Indian IT landscape.
Intermediate Stage
Engage in Practical Application Projects- (Semester 3-5)
Apply theoretical knowledge by building small projects in Java, DBMS, and Web Technologies. Focus on end-to-end implementation to gain hands-on experience and problem-solving abilities.
Tools & Resources
GitHub (for version control and project showcase), Stack Overflow, MySQL Workbench, VS Code
Career Connection
Project experience is critical for showcasing skills to potential employers. Companies prioritize candidates who can demonstrate practical application of their knowledge beyond just theory.
Explore Industry-Relevant Technologies- (Semester 3-5)
Beyond the curriculum, take online courses or workshops in trending technologies like Python, Android development, or cloud computing. This proactive learning demonstrates initiative and broadens your skill set.
Tools & Resources
Coursera, Udemy, edX, Google Developers documentation, AWS/Azure free tiers
Career Connection
Staying updated with industry trends makes you more marketable. Many Indian IT companies look for candidates with exposure to cutting-edge technologies for specialized roles.
Network and Seek Mentorship- (Semester 3-5)
Attend local tech meetups, workshops, and seminars. Connect with industry professionals on platforms like LinkedIn to gain insights and potential mentorship opportunities.
Tools & Resources
LinkedIn, Local tech communities/forums, College alumni network
Career Connection
Networking opens doors to internships, job referrals, and career guidance, which can be invaluable in navigating the competitive Indian job market.
Advanced Stage
Undertake a Comprehensive Major Project- (Semester 6)
Select a challenging major project that integrates multiple technologies learned. Focus on a well-defined problem, innovative solution, robust implementation, and thorough documentation, mimicking real-world development cycles.
Tools & Resources
Jira (for project management), GitLab/Bitbucket, Professional IDEs (e.g., IntelliJ IDEA, PyCharm)
Career Connection
A strong major project is a centerpiece of your resume, demonstrating your ability to deliver a complete solution. It''''s often a key discussion point in technical interviews for product-based companies.
Prepare for Placements and Interviews- (Semester 6)
Start mock interviews, aptitude test practice, and resume building early. Focus on improving logical reasoning, quantitative aptitude, and behavioral interview skills to excel in campus placements.
Tools & Resources
PrepInsta, IndiaBix, Glassdoor (for company-specific interview questions), College placement cell
Career Connection
Dedicated placement preparation significantly increases your chances of securing job offers from top IT firms and startups during campus recruitment drives.
Opt for Industrial Training/Internship- (Semester 6)
Seek out and complete an industrial training or internship to gain real-world professional experience. This exposes you to corporate culture, teamwork, and practical problem-solving in a live project environment.
Tools & Resources
Internshala, Naukri.com, LinkedIn Jobs, College career services
Career Connection
Internships often convert into full-time job offers and provide invaluable industry exposure, making you job-ready and highly preferred by recruiters in the Indian IT sector.
Program Structure and Curriculum
Eligibility:
- HSC (10+2) in Science stream with Mathematics and English subjects from Maharashtra Board of Secondary & Higher Secondary Education, or its equivalent examination.
Duration: 3 years / 6 semesters
Credits: 134 Credits
Assessment: Internal: undefined, External: undefined
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-101T | Computer Fundamentals and Office Automation | Core Theory | 4 | Introduction to Computers, Input and Output Devices, Memory and Storage Devices, Operating System Concepts, MS Word Document Processing, MS Excel Spreadsheets and Functions, MS PowerPoint Presentations |
| BSI-102T | Programming in C | Core Theory | 4 | C Language Fundamentals, Operators and Expressions, Control Flow Statements, Functions and Pointers, Arrays and Strings, Structures and Unions, File Input/Output |
| BSI-103T | Discrete Mathematics | Core Theory | 4 | Set Theory and Relations, Functions and Permutations, Mathematical Logic, Graph Theory and Trees, Boolean Algebra and Lattices |
| BSI-104T | Communication Skills | Core Theory | 4 | Fundamentals of Communication, Grammar and Vocabulary, Reading and Listening Skills, Writing Business Correspondence, Presentation Techniques, Interview Skills and Group Discussions |
| BSI-105P | Lab I - Office Automation | Core Practical | 2 | MS Word document creation and formatting, MS Excel formulas and data analysis, MS PowerPoint presentation design, Basic MS Access database operations |
| BSI-106P | Lab II - Programming in C | Core Practical | 2 | Implementation of C programs, Control structures and functions, Array and string manipulation, Pointer applications, File handling in C |
| BSI-107P | Lab III - Communication Skills | Core Practical | 2 | Developing Presentation Skills, Participating in Group Discussions, Mock Interview Practice, Resume and Cover Letter Writing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-201T | Operating System | Core Theory | 4 | Introduction to Operating Systems, Process Management and Scheduling, Deadlocks and Concurrency, Memory Management Techniques, File Systems and I/O Management, Distributed Operating Systems |
| BSI-202T | Object Oriented Programming with C++ | Core Theory | 4 | OOP Concepts and Principles, Classes, Objects, and Constructors, Inheritance and Polymorphism, Operator Overloading and Friend Functions, Virtual Functions and Abstract Classes, Templates and Exception Handling, File Operations in C++ |
| BSI-203T | Data Structures | Core Theory | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Traversal, Searching Algorithms, Sorting Algorithms, Hashing Techniques |
| BSI-204T | Digital Electronics | Core Theory | 4 | Number Systems and Codes, Logic Gates and Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits, Flip-Flops and Latches, Registers and Counters, Memory Devices |
| BSI-205P | Lab I - Operating System | Core Practical | 2 | Basic Linux commands and file system, Shell scripting fundamentals, Process management utilities, User and group management |
| BSI-206P | Lab II - Object Oriented Programming with C++ | Core Practical | 2 | C++ program development using OOP, Class and object implementation, Inheritance and polymorphism examples, Function and operator overloading |
| BSI-207P | Lab III - Data Structures | Core Practical | 2 | Implementation of arrays and linked lists, Stack and queue operations, Tree traversal algorithms, Graph representation and traversal, Sorting and searching algorithms |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-301T | Database Management System | Core Theory | 4 | DBMS Concepts and Architecture, ER Model and Relational Model, Relational Algebra and Calculus, SQL Queries and Operations, Normalization and Dependencies, Transaction Management and Concurrency Control |
| BSI-302T | Core JAVA | Core Theory | 4 | Java Language Fundamentals, Object-Oriented Programming in Java, Packages and Interfaces, Exception Handling, Multithreading, Applet and AWT Programming, File I/O and Networking Basics |
| BSI-303T | Computer Organization & Architecture | Core Theory | 4 | Basic Computer Organization, CPU Structure and Function, Instruction Set Architecture, Memory Hierarchy and Cache, Input/Output Organization, Pipelining and Parallel Processing |
| BSI-304T | Statistical Methods | Core Theory | 4 | Measures of Central Tendency and Dispersion, Probability Theory and Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression Analysis |
| BSI-305P | Lab I - Database Management System | Core Practical | 2 | SQL query writing for DDL and DML, Database creation and manipulation, Using functions and joins, Implementing triggers and stored procedures |
| BSI-306P | Lab II - Core JAVA | Core Practical | 2 | Java programs for OOP concepts, Exception handling in Java, Multithreading applications, GUI development using AWT/Swing |
| BSI-307P | Lab III - Computer Organization & Architecture | Core Practical | 2 | Basic Assembly Language Programming, Simulation of Logic Gates, Understanding CPU operations |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-401T | Data Communication and Networking | Core Theory | 4 | Network Topologies and Categories, OSI and TCP/IP Models, Transmission Media, Error Detection and Correction, Network Devices and Protocols, Routing and Congestion Control |
| BSI-402T | Web Technology | Core Theory | 4 | HTML for Web Page Structure, CSS for Styling Web Pages, JavaScript for Client-Side Scripting, XML and AJAX, PHP for Server-Side Programming, Database Connectivity with MySQL |
| BSI-403T | Software Engineering | Core Theory | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management, Quality Assurance and Maintenance |
| BSI-404T | Environmental Studies | Core Theory | 4 | Natural Resources and Ecosystems, Biodiversity and Conservation, Environmental Pollution and Control, Social Issues and the Environment, Environmental Ethics and Human Rights, Sustainable Development Goals |
| BSI-405P | Lab I - Data Communication and Networking | Core Practical | 2 | Network device configuration basics, IP addressing and subnetting, Network troubleshooting commands, Socket programming fundamentals |
| BSI-406P | Lab II - Web Technology | Core Practical | 2 | Designing static web pages with HTML/CSS, Client-side scripting with JavaScript, Dynamic web pages with PHP, Connecting web applications to databases |
| BSI-407P | Lab III - Software Engineering | Core Practical | 2 | Creating UML diagrams, Developing use case scenarios, Applying design patterns, Testing software components |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-501T | Data Mining and Data Warehousing | Core Theory | 4 | Introduction to Data Warehousing, OLAP and Data Cubes, Data Preprocessing Techniques, Association Rule Mining, Classification Algorithms, Clustering Techniques, Web and Text Mining |
| BSI-502T | Android Programming | Core Theory | 4 | Android Architecture and Components, Activities, Services, Broadcast Receivers, User Interface Design with Layouts and Widgets, Data Storage and SQLite Databases, Permissions and Security, Working with Intents and Fragments |
| BSI-503T | Python Programming | Core Theory | 4 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming in Python, File Handling and Exception Handling, Working with Libraries (NumPy, Pandas), Web Scraping Basics |
| BSI-504T | Elective-I: Artificial Intelligence | Elective Theory | 4 | Introduction to AI and its Applications, Problem Solving Agents and Search Algorithms, Knowledge Representation and Logic, Planning and Expert Systems, Introduction to Machine Learning, Natural Language Processing Basics |
| BSI-505P | Lab I - Data Mining | Core Practical | 2 | Data loading and preprocessing, Implementing association rule algorithms, Applying classification techniques, Performing clustering analysis, Using data mining tools like WEKA |
| BSI-506P | Lab II - Android Programming | Core Practical | 2 | Developing Android user interfaces, Handling user input and events, Working with SQLite databases in Android, Implementing intents and notifications |
| BSI-507P | Lab III - Python Programming | Core Practical | 2 | Python scripting for data manipulation, Implementing OOP concepts in Python, File I/O operations, Using Python libraries for data analysis |
| BSI-508P | Lab IV - Elective I (Artificial Intelligence) | Elective Practical | 2 | Implementing search algorithms, Developing basic knowledge-based systems, Using AI libraries for simple tasks, Introduction to basic machine learning models |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSI-601T | Internet of Things | Core Theory | 4 | Introduction to IoT and its Ecosystem, IoT Architecture and Protocols, Sensors, Actuators, and Microcontrollers, Data Analytics in IoT, IoT Security and Privacy, Cloud Platforms for IoT (AWS IoT, Azure IoT) |
| BSI-602T | Project Management and Entrepreneurship | Core Theory | 4 | Project Life Cycle and Planning, Resource Management and Scheduling, Risk Management in Projects, Entrepreneurship Concepts, Business Plan Development, Startup Ecosystem and Funding |
| BSI-603T | Major Project | Project | 4 | Problem Identification and Literature Survey, System Design and Architecture, Implementation and Coding, Testing and Debugging, Documentation and Report Writing, Project Presentation and Viva |
| BSI-604T | Elective-II: Machine Learning | Elective Theory | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Neural Networks and Deep Learning Basics, Ensemble Methods |
| BSI-605P | Lab I - Internet of Things | Core Practical | 2 | Interfacing sensors and actuators, Data acquisition from IoT devices, Communicating with cloud platforms (MQTT), Building simple IoT applications |
| BSI-606P | Lab II - Elective II (Machine Learning) | Elective Practical | 2 | Implementing regression algorithms, Applying classification models, Clustering data sets, Using Python libraries like Scikit-learn, TensorFlow |
| BSI-607P | Industrial Training/Internship | Practical/Internship | 2 | Hands-on experience in industry, Application of theoretical knowledge, Problem-solving in a professional environment, Report writing and presentation of work |




