MSc Information Technology (IT)
Semester-wise Syllabus for MSc Information Technology (IT)
Semester 1: Fundamentals of IT & Programming
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Programming Fundamentals
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Python/Java/C++ basics, data structures (arrays, linked lists, stacks, queues)
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Algorithms (sorting, searching)
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Database Management Systems (DBMS)
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SQL, relational algebra, normalization
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NoSQL databases (MongoDB, Cassandra)
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Computer Networks
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OSI/TCP-IP models, LAN/WAN, network security basics
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Operating Systems
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Processes, threads, memory management, file systems
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Mathematics for IT
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Discrete mathematics, probability, statistics
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Lab Work
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Coding exercises, SQL queries, network simulations
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Semester 2: Advanced Computing & Web Technologies
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Object-Oriented Programming (OOP)
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Inheritance, polymorphism, design patterns (Java/Python)
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Web Technologies
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HTML/CSS, JavaScript, React/Angular, PHP/Node.js
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Software Engineering
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SDLC, Agile/Scrum, UML diagrams
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Data Science Fundamentals
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Data preprocessing, visualization (Pandas, Matplotlib)
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Elective 1 (Choose one):
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Cloud Computing (AWS/Azure basics)
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Cybersecurity Fundamentals
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Lab Work
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Web development projects, mini-software prototypes
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Semester 3: Specialization & Advanced Topics
Core Subjects
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Artificial Intelligence & Machine Learning
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Neural networks, supervised/unsupervised learning (TensorFlow/PyTorch)
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Big Data Analytics
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Hadoop, Spark, data mining techniques
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Internet of Things (IoT)
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Sensors, embedded systems, IoT protocols
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Electives (Choose 2–3)
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Blockchain Technology
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Advanced Cybersecurity
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DevOps & CI/CD Pipelines
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Human-Computer Interaction (HCI)
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Lab Work
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AI/ML models, IoT prototypes, cloud deployments
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Semester 4: Research & Capstone Project
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Dissertation/Project Work
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Independent research or industry-aligned project (e.g., AI app, secure system design)
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Emerging Trends in IT
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Quantum computing, edge computing, 6G, Metaverse
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Internship/Viva Voce
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Industry training or project defense
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Master's