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B-TECH in Information Technology at Symbiosis International University
Pune, Maharashtra
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About the Specialization
What is Information Technology at Symbiosis International University Pune?
This B.Tech Information Technology program at Symbiosis International University, Pune, focuses on equipping students with core competencies in software development, data management, networking, and emerging technologies. In the rapidly evolving Indian IT landscape, this program emphasizes practical skills and theoretical depth, preparing graduates for key roles in system architecture, cybersecurity, and cloud solutions, aligning with industry needs for skilled professionals.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in the dynamic IT sector. It also caters to individuals passionate about coding, problem-solving, and technology innovation. Specific prerequisite backgrounds include a science stream with Physics and Mathematics, coupled with a keen interest in software engineering, data science, or network administration.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including software developer, data analyst, cybersecurity specialist, and cloud engineer, with entry-level salaries typically ranging from INR 4-8 LPA, growing significantly with experience. The curriculum is designed to align with certifications in cloud platforms, data science, and cybersecurity, fostering continuous professional growth and upward mobility in leading Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding core programming concepts (C, Java, Data Structures) beyond classroom lectures. Actively participate in coding challenges to enhance problem-solving skills and develop efficient algorithms.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, VS Code
Career Connection
Strong programming fundamentals are the bedrock for any IT role, crucial for cracking technical interviews and building robust software solutions in placements.
Build a Strong Academic Network- (Semester 1-2)
Form study groups with peers to discuss complex topics, share resources, and collectively solve problems. Actively engage with professors during office hours for deeper insights and project guidance.
Tools & Resources
University library, Peer study sessions, Moodle/LMS discussion forums, Faculty consultation
Career Connection
A supportive academic network provides diverse perspectives, helps in understanding concepts thoroughly, and often leads to collaborative projects and shared internship opportunities, enhancing overall academic performance.
Explore Diverse Technical Domains- (Semester 1-2)
Attend introductory workshops and webinars on various IT domains like AI, cybersecurity, and web development, even if not directly covered in early semesters. This broad exposure helps identify areas of genuine interest for future specialization.
Tools & Resources
NPTEL courses, Coursera/edX introductory modules, Tech meetups in Pune, Departmental seminars
Career Connection
Early exploration helps in making informed decisions about elective choices, minor projects, and ultimately, a focused career path, making students more competitive for specialized roles.
Intermediate Stage
Engage in Practical Application & Mini-Projects- (Semester 3-5)
Translate theoretical knowledge into tangible mini-projects. For instance, after learning DBMS, build a simple database-driven web application. For OS, implement basic process scheduling.
Tools & Resources
GitHub, Python/Java for development, Relevant IDEs, Docker, Stack Overflow
Career Connection
Practical projects demonstrate skill application to potential employers, enhance problem-solving capabilities, and provide valuable content for resumes and portfolios, crucial for internships and placements.
Seek Early Industry Exposure through Internships/Workshops- (Semester 4-5 (especially summer breaks))
Actively look for short-term internships, summer training programs, or industry-sponsored workshops, even if unpaid, to understand real-world IT environments and challenges.
Tools & Resources
College placement cell, LinkedIn, Internshala, Industry events and tech conferences
Career Connection
Direct industry exposure helps in building professional networks, gaining practical experience, and often leads to pre-placement offers, significantly boosting career prospects.
Build Specialization Skills and Certifications- (Semester 4-5)
Identify a niche area (e.g., Data Science, Cloud Computing, Cybersecurity) and pursue online certifications or advanced courses. Focus on developing projects specifically within this chosen specialization.
Tools & Resources
AWS Certified Cloud Practitioner, Google Cloud Associate Engineer, Microsoft Azure Fundamentals, IBM Data Science Professional Certificate, Specialized MOOCs
Career Connection
Demonstrating expertise in a specialized domain through certifications and projects makes candidates highly attractive to companies seeking specific skill sets, opening doors to specialized roles and better packages.
Advanced Stage
Focus on Capstone/Major Project Excellence- (Semester 7-8)
Treat the Major Project as a significant portfolio piece. Choose a challenging, industry-relevant problem, work in a team, and apply all learned concepts from design to deployment. Document thoroughly and present professionally.
Tools & Resources
Project management tools (Jira, Trello), Advanced development frameworks, Cloud platforms, Version control systems (Git)
Career Connection
A well-executed Major Project is a powerful talking point in interviews, showcasing practical problem-solving, teamwork, and technical depth, often leading to direct job offers.
Intensive Placement Preparation and Networking- (Semester 6-8)
Engage in rigorous aptitude, logical reasoning, and technical interview preparation. Participate in mock interviews, improve communication skills, and actively network with alumni and recruiters.
Tools & Resources
Aptitude test platforms, Coding interview books (e.g., Cracking the Coding Interview), LinkedIn for professional networking, College career fairs
Career Connection
Thorough preparation ensures readiness for placement drives, maximizing chances of securing desirable job offers from top-tier companies. Networking can open doors to opportunities not advertised publicly.
Explore Entrepreneurship or Higher Studies- (Semester 7-8)
For those inclined, explore startup ideas and participate in hackathons or business plan competitions. Alternatively, research opportunities for M.Tech or specialized master''''s programs in India or abroad, preparing for entrance exams like GATE.
Tools & Resources
University incubation centers, Startup accelerators, GATE/GRE/TOEFL preparation materials, University research papers
Career Connection
This practice helps in developing an entrepreneurial mindset or laying the groundwork for advanced academic pursuits, catering to diverse career aspirations beyond direct placements.
Program Structure and Curriculum
Eligibility:
- 10+2 (H.S.C. or equivalent) with Physics & Mathematics as compulsory subjects along with one of Chemistry/Biotechnology/Biology/Technical Vocational subject, securing at least 45% marks (40% for SC/ST) in these subjects combined. A valid score in SIT Engineering Entrance Exam (SITEEE) is also required.
Duration: 4 years / 8 semesters
Credits: 175 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T101 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transforms, Vector Calculus |
| T102 | Engineering Physics | Core | 3 | Wave Optics, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Nanotechnology |
| P101 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Electricity, Modern Physics, Lasers, Semiconductor Devices |
| T103 | Engineering Chemistry | Core | 3 | Water Technology, Instrumental Methods of Analysis, Corrosion and its Control, Engineering Materials, Fuels and Combustion |
| P102 | Engineering Chemistry Lab | Lab | 1 | Quantitative and Qualitative Analysis, pHmetry, Conductometry, Spectrophotometry, Titrations |
| T104 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Auto CAD Basics |
| T105 | Programming for Problem Solving | Core | 3 | Introduction to C Programming, Control Structures, Arrays and Strings, Functions, Pointers and Structures |
| P103 | Programming for Problem Solving Lab | Lab | 1 | C Programming Exercises, Debugging Techniques, File Handling, Basic Data Structures Implementation |
| T106 | Basic Electrical & Electronics Engineering | Core | 3 | DC and AC Circuits, Network Theorems, Diodes and Transistors, Operational Amplifiers, Digital Electronics Basics |
| P104 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Verification of Circuit Laws, Characteristics of Diodes/Transistors, Logic Gates, OP-AMP Circuits |
| M101 | Environmental Studies | Mandatory | 0 | Natural Resources, Ecosystems, Biodiversity, Environmental Pollution, Social Issues and the Environment |
| T107 | Communication Skills | Mandatory | 0 | Oral Communication, Written Communication, Presentation Skills, Group Discussions, Interview Techniques |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T201 | Engineering Mathematics – II | Core | 4 | Linear Algebra, Vector Spaces, Eigenvalues and Eigenvectors, Complex Variables, Fourier Series |
| T202 | Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Techniques |
| P201 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of Data Structures, Algorithm Analysis, Problem-Solving with Data Structures |
| T203 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Exception Handling, Templates |
| P202 | Object Oriented Programming Lab | Lab | 1 | Java/C++ Programming Exercises, Object-Oriented Design Patterns, GUI Programming Basics |
| T204 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| T205 | Digital Electronics | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memories, ADC/DAC Converters |
| P203 | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Design of Combinational Circuits, Sequential Circuit Implementation, Use of Simulation Tools |
| T206 | Engineering Economics and Financial Management | Core | 3 | Demand and Supply, Market Structures, Cost Analysis, Capital Budgeting, Financial Statements |
| P204 | Soft Skills Lab | Lab | 1 | Personality Development, Interview Skills, Communication Etiquette, Presentation Practice, Teamwork and Leadership |
| M201 | Professional Ethics & Social Responsibility | Mandatory | 0 | Ethical Theories, Professionalism in Engineering, Cyber Ethics, Intellectual Property Rights, Corporate Social Responsibility |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T301 | Computer Organization and Architecture | Core | 3 | CPU Organization, Instruction Set Architecture, Memory Hierarchy, I/O Organization, Pipelining and Parallel Processing |
| T302 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems and Deadlocks |
| P301 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Creation and Synchronization, Memory Allocation Techniques, File System Calls |
| T303 | Database Management Systems | Core | 3 | ER Model, Relational Model and SQL, Normalization, Transaction Management, Concurrency Control |
| P302 | Database Management Systems Lab | Lab | 1 | SQL Queries and Joins, Schema Design, Database Administration Tasks, Report Generation |
| T304 | Design and Analysis of Algorithms | Core | 3 | Asymptotic Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, NP-Completeness |
| T305 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| T306 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Design Principles, Software Testing, Agile Methodologies |
| P303 | Object Oriented Modeling and Design Lab | Lab | 1 | UML Diagrams, Object-Oriented Design Principles, Use Cases and Sequence Diagrams, Class Diagrams |
| M301 | Universal Human Values | Mandatory | 0 | Self-Exploration and Awareness, Harmony in Family and Society, Ethical Human Conduct, Professional Ethics, Harmony in Nature |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T401 | Computer Networks | Core | 3 | Network Topologies, OSI/TCP-IP Models, Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP) |
| P401 | Computer Networks Lab | Lab | 1 | Network Configuration, Packet Analysis (Wireshark), Socket Programming, Routing Protocols |
| T402 | Web Technologies | Core | 3 | HTML, CSS, and JavaScript, DOM and XML, AJAX and JSON, Server-Side Scripting, Web Security Basics |
| P402 | Web Technologies Lab | Lab | 1 | Dynamic Web Page Development, Database Integration, Client-Server Communication, Web Framework Usage |
| T403 | Artificial Intelligence | Core | 3 | Problem Solving (Search Algorithms), Knowledge Representation, Machine Learning Basics, Neural Networks, Natural Language Processing |
| P403 | Artificial Intelligence Lab | Lab | 1 | AI Algorithm Implementation (Python), Expert Systems Development, Search Techniques, ML Libraries Usage |
| T404 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Error Handling |
| T405 | Probability and Statistics | Core | 3 | Probability Distributions, Hypothesis Testing, Regression Analysis, Correlation, Random Variables and Stochastic Processes |
| T406 | Information Theory and Coding | Core | 3 | Information Entropy, Source Coding (Huffman, Shannon-Fano), Channel Capacity, Error Detection Codes, Error Correction Codes |
| T407 | Data Warehousing & Data Mining | Core | 3 | Data Warehouse Architecture, OLAP Operations, Data Preprocessing, Association Rule Mining, Classification and Clustering |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T501 | Microprocessor and Microcontroller | Core | 3 | 8086 Architecture, Assembly Language Programming, Interrupts and I/O Interfacing, Microcontroller Basics, Embedded Systems |
| P501 | Microprocessor and Microcontroller Lab | Lab | 1 | Assembly Language Programming, Interfacing Experiments, Embedded System Projects |
| T502 | Computer Graphics | Core | 3 | Graphics Primitives, 2D/3D Transformations, Viewing and Clipping, Projections and Shading, Animation Techniques |
| P502 | Computer Graphics Lab | Lab | 1 | OpenGL/Graphics Library Programming, Geometric Transformations, Interactive Graphics, Image Manipulation |
| T503 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technologies, Cloud Security, AWS/Azure Overview |
| T504 | Internet of Things | Core | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols (MQTT, CoAP), Data Analytics in IoT, IoT Security and Privacy |
| T505 | Image Processing | Core | 3 | Image Enhancement, Image Segmentation, Feature Extraction, Image Restoration, Image Compression and Object Recognition |
| T506 | Machine Learning | Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Deep Learning Basics, Reinforcement Learning Introduction |
| P503 | Machine Learning Lab | Lab | 1 | Implementation of ML Algorithms (Python), Data Preprocessing and Analysis, Model Training and Evaluation, Usage of Libraries (scikit-learn, TensorFlow/Keras) |
| TE01 | Department Elective – I | Elective | 3 | Advanced Algorithms, Network Security Principles, Big Data Analytics Techniques, Cloud Services and Architecture, Software Development Methodologies |
| GP501 | General Proficiency – V | Mandatory | 0 | Personality Development, Aptitude and Logical Reasoning, Verbal Ability, Communication Skills Enhancement, Quantitative Aptitude |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T601 | Software Project Management | Core | 3 | Project Planning and Estimation, Risk Management, Project Scheduling, Configuration Management, Agile Project Management |
| T602 | Natural Language Processing | Core | 3 | Text Preprocessing, Tokenization and POS Tagging, Named Entity Recognition, Sentiment Analysis, Machine Translation |
| P601 | Natural Language Processing Lab | Lab | 1 | NLTK Library Usage, Text Mining Techniques, Developing NLP Applications, Chatbot Basics |
| TE02 | Department Elective – II | Elective | 3 | Blockchain Technology, Robotic Process Automation (RPA), Digital Forensics, Advanced Cybersecurity Concepts, Emerging Technologies in IT |
| TE03 | Department Elective – III | Elective | 3 | Augmented Reality and Virtual Reality, Deep Learning Architectures, Game Development Principles, 3D Modeling and Animation, Interactive Systems Design |
| OP01 | Open Elective – I | Elective | 3 | Interdisciplinary Concepts, Societal Impact of Technology, Innovation and Entrepreneurship, General Knowledge and Current Affairs |
| INT601 | Internship | Internship | 6 | Industry Exposure, Practical Skill Application, Project Execution and Management, Professional Communication, Report Writing |
| MP601 | Minor Project | Project | 3 | Problem Identification and Analysis, System Design and Architecture, Implementation and Testing, Project Documentation, Presentation and Defense |
| GP601 | General Proficiency – VI | Mandatory | 0 | Career Planning and Goal Setting, Interview Preparation Strategies, Resume and Cover Letter Building, Corporate Etiquette, Industry Trends and Awareness |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T701 | Cyber Security | Core | 3 | Network Security, Cryptography and Encryption, Web Application Security, Malware Analysis, Incident Response and Security Auditing |
| P701 | Cyber Security Lab | Lab | 1 | Penetration Testing Tools, Ethical Hacking Techniques, Vulnerability Assessment, Secure Coding Practices |
| TE04 | Department Elective – IV | Elective | 3 | Ethical Hacking and Digital Forensics, Big Data Analytics Architectures, DevOps Principles and Practices, Cloud Security, Threat Intelligence |
| TE05 | Department Elective – V | Elective | 3 | Fintech Innovations, Quantum Computing Fundamentals, Human Computer Interaction (HCI), Advanced Data Structures, Predictive Analytics |
| OP02 | Open Elective – II | Elective | 3 | Innovation and Design Thinking, Societal Challenges and Solutions, Cross-Disciplinary Applications, Contemporary Issues, Entrepreneurial Mindset |
| PRJ701 | Major Project – I | Project | 6 | Problem Research and Definition, Requirement Analysis, Architectural Design, Module Development, Integration Testing and Quality Assurance |
| GP701 | General Proficiency – VII | Mandatory | 0 | Leadership Skills Development, Conflict Resolution, Negotiation Techniques, Public Speaking and Presentation, Decision Making |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| TE06 | Department Elective – VI | Elective | 3 | IoT Security, Robotic Process Automation with AI, Full Stack Development, Advanced Database Management, Distributed Systems |
| TE07 | Department Elective – VII | Elective | 3 | Data Science and Analytics, Predictive Modeling, Parallel and Distributed Computing, Quantum Machine Learning, Big Data Technologies |
| PRJ801 | Major Project – II | Project | 9 | Advanced System Development, Performance Optimization, Deployment Strategies, User Acceptance Testing, Final Documentation and Defense |
| GP801 | General Proficiency – VIII | Mandatory | 0 | Global Trends in IT, Career Transition Strategies, Lifelong Learning, Professional Networking, Industry Certifications |
