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M-TECH in Information Technology at Jawaharlal Nehru Technological University Kakinada
Kakinada, Andhra Pradesh
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About the Specialization
What is Information Technology at Jawaharlal Nehru Technological University Kakinada Kakinada?
This Information Technology program at Jawaharlal Nehru Technological University Kakinada focuses on developing advanced theoretical and practical skills in computing, network management, data science, and modern software development. It equips students with the expertise needed to design, implement, and manage complex IT solutions, addressing the evolving demands of India''''s rapidly digitalizing economy and technology landscape.
Who Should Apply?
This program is ideal for engineering graduates with a background in Computer Science, Information Technology, or related disciplines seeking entry into advanced IT roles. It also caters to working professionals aiming to upskill in emerging technologies like AI, IoT, and Cloud Computing, enhancing their career prospects in the competitive Indian tech industry, or those looking to transition into specialized IT management and research positions.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Senior Software Engineers, Data Scientists, Network Architects, Cybersecurity Analysts, or IT Consultants within leading Indian and multinational companies. Starting salaries for fresh M.Tech graduates in IT in India typically range from INR 6-12 LPA, with experienced professionals commanding significantly higher packages and growth into leadership and principal architect roles.
Student Success Practices
Foundation Stage
Master Mathematical and Algorithmic Foundations- (Semester 1)
Focus rigorously on Mathematical Foundations of Computer Science and Advanced Data Structures. Regularly practice problem-solving, both theoretical and implementation-based, to build a strong analytical base essential for complex IT challenges.
Tools & Resources
Textbooks, Online tutorials (e.g., Khan Academy for discrete math), LeetCode, HackerRank
Career Connection
Crucial for understanding complex IT systems, designing efficient algorithms, and excelling in technical interviews for product-based companies.
Develop Proficiency in Network Concepts and Tools- (Semester 1)
Deep dive into Advanced Computer Networks concepts. Beyond theory, gain hands-on experience with network simulation tools, protocol analysis, and basic socket programming to understand network infrastructure and security.
Tools & Resources
Cisco Packet Tracer, Wireshark, Python socket programming libraries, Network simulation software
Career Connection
Prepares for roles in network engineering, cybersecurity, distributed systems development, and cloud infrastructure management.
Explore Professional Electives for Early Specialization- (Semester 1)
Carefully choose Professional Electives I and II based on evolving career interests. Conduct preliminary research on the scope and industry demand for these areas like Distributed Databases, Mobile Computing, or Advanced Operating Systems.
Tools & Resources
Online research portals, Alumni networks, Faculty guidance, Introductory MOOCs
Career Connection
Helps in identifying a niche and building foundational knowledge in a specific area, useful for future projects and placement opportunities.
Intermediate Stage
Apply Machine Learning and Data Mining Techniques- (Semester 2)
Go beyond theoretical understanding of Advanced Data Mining and Machine Learning by implementing algorithms and models. Work on real-world datasets and participate in data science competitions to build practical expertise.
Tools & Resources
Python (Scikit-learn, TensorFlow, Keras), R, Kaggle, UCI Machine Learning Repository
Career Connection
Develops highly sought-after skills for Data Scientist, ML Engineer, and Business Intelligence Analyst roles in various industries.
Build Robust Object-Oriented Software Solutions- (Semester 2)
Focus on applying Object-Oriented Software Engineering principles. Design and develop a substantial software project using UML and design patterns, emphasizing clean code, maintainability, and testing practices.
Tools & Resources
IDEs (Eclipse, IntelliJ IDEA), UML tools (draw.io, Lucidchart), GitHub for version control
Career Connection
Essential for becoming a proficient software developer, architect, or technical lead in any software development organization.
Dive Deep into Emerging Technologies via Electives- (Semester 2)
Utilize Professional Electives III and IV to specialize further in cutting-edge areas like Cyber Security, IoT, Blockchain, or Cloud Computing. Gain practical skills through labs and mini-projects related to these subjects.
Tools & Resources
Virtual labs, Specific technology SDKs/platforms (e.g., AWS Free Tier, Ethereum Remix), Specialized NPTEL courses
Career Connection
Positions students for niche roles in high-demand domains and provides a competitive edge in the rapidly evolving Indian tech job market.
Advanced Stage
Excel in Dissertation/Industrial Project- (Semester 3-4)
Treat the Dissertation/Industrial Project as a capstone experience. Choose a problem aligned with your specialization and career goals, conduct thorough research, develop innovative solutions, and meticulously document your work.
Tools & Resources
Research papers (IEEE, ACM), Academic journals, Collaboration tools, Statistical software, LaTeX for thesis writing
Career Connection
The project is a major talking point in interviews, demonstrating problem-solving, research, and independent work capabilities crucial for R&D roles and advanced positions.
Pursue MOOCs and Open Electives Strategically- (Semester 3)
Select the MOOC course and Open Elective to complement your specialization or bridge skill gaps. Prioritize courses that offer certifications or deep dives into areas relevant to your desired job roles, enhancing your overall profile.
Tools & Resources
NPTEL, Coursera, edX, LinkedIn Learning, College''''s list of Open Electives
Career Connection
Adds valuable certifications and interdisciplinary knowledge, making the profile more attractive to employers and opening broader career opportunities.
Focus on Placement Preparation and Networking- (Semester 3-4)
Actively participate in campus placement drives, prepare for aptitude tests, technical interviews, and group discussions. Network with alumni and industry professionals through LinkedIn and college events to build professional connections.
Tools & Resources
Online aptitude platforms, Mock interview sessions, Career counseling services, LinkedIn
Career Connection
Directly leads to successful placements in reputable companies and establishes a professional network for long-term career growth in India''''s competitive job market.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in relevant discipline (e.g., Computer Science and Engineering, Information Technology) or AMIE/AMIETE or equivalent recognized by UGC/AICTE.
Duration: 2 years (4 semesters)
Credits: 70 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M20IT1101 | Mathematical Foundations of Computer Science | Core | 3 | Mathematical Logic, Predicates and Quantifiers, Relations and Functions, Graph Theory, Algebraic Structures |
| M20IT1102 | Advanced Data Structures | Core | 3 | Algorithm Analysis, Hashing Techniques, Binary Search Trees, AVL and Red-Black Trees, B-Trees and Splay Trees |
| M20IT1103 | Advanced Computer Networks | Core | 3 | Network Layer Protocols, Transport Layer Design, Congestion Control, Routing Protocols, Wireless and Mobile Networks |
| M20IT1104A | Distributed Databases | Professional Elective I | 3 | Distributed DBMS Architecture, Distributed Database Design, Distributed Query Processing, Distributed Concurrency Control, Distributed Object Databases |
| M20IT1104B | Image Processing | Professional Elective I | 3 | Image Transforms, Image Enhancement, Image Restoration, Image Compression, Image Segmentation, Color Image Processing |
| M20IT1104C | Mobile Computing | Professional Elective I | 3 | Mobile Computing Architecture, Wireless Technologies (GSM, GPRS, 3G), Mobile IP, Mobile Operating Systems (Android, iOS), Mobile Application Development |
| M20IT1105A | Scripting Languages | Professional Elective II | 3 | Python Programming Basics, Data Structures in Python, Functions and Modules, Regular Expressions, File Handling, Web Scripting (CGI) |
| M20IT1105B | Software Process & Project Management | Professional Elective II | 3 | Software Process Models, Agile Development, Project Planning and Scheduling, Risk Management, Software Quality Management, Software Configuration Management |
| M20IT1105C | Advanced Operating Systems | Professional Elective II | 3 | Distributed Operating Systems, Message Passing and RPC, Distributed Shared Memory, Real-time Operating Systems, Cloud Operating Systems, Fault Tolerance |
| M20IT1106 | Advanced Data Structures Lab | Lab | 1.5 | Implementation of Trees, Hashing Techniques, Graph Algorithms, Sorting and Searching Algorithms, Memory Management |
| M20IT1107 | Advanced Computer Networks Lab | Lab | 1.5 | Network Configuration, Protocol Implementation, Socket Programming, Network Traffic Analysis, Network Security Tools |
| M20AC1108 | Research Methodology and IPR | Audit Course | 0 | Research Problem Formulation, Literature Review, Data Collection and Analysis, Report Writing, Intellectual Property Rights, Patents and Copyrights |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M20IT1201 | Advanced Data Mining | Core | 3 | Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms, Data Warehousing Concepts, Text and Web Mining |
| M20IT1202 | Object Oriented Software Engineering | Core | 3 | Object-Oriented Concepts, UML Diagrams, Software Design Principles, Architectural Design, Software Testing, Software Maintenance |
| M20IT1203 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Fundamentals, Model Evaluation and Optimization, Reinforcement Learning Basics |
| M20IT1204A | Cyber Security | Professional Elective III | 3 | Classical Cryptography, Symmetric Key Cryptography, Public Key Cryptography, Digital Signatures, Firewalls and ID/PS, Web and Email Security |
| M20IT1204B | Internet of Things | Professional Elective III | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols (CoAP, MQTT), IoT Platforms, Data Analytics in IoT, IoT Security |
| M20IT1204C | Block Chain Technology | Professional Elective III | 3 | Blockchain Fundamentals, Cryptographic Primitives, Consensus Algorithms, Bitcoin and Cryptocurrencies, Ethereum and Smart Contracts, Hyperledger |
| M20IT1205A | Cloud Computing | Professional Elective IV | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, MapReduce and Hadoop, Cloud Platforms (AWS, Azure) |
| M20IT1205B | Digital Forensics | Professional Elective IV | 3 | Cybercrime and Digital Evidence, Digital Forensic Process, Data Acquisition and Preservation, Operating System Forensics, Email and Network Forensics, Mobile Device Forensics |
| M20IT1205C | Soft Computing | Professional Elective IV | 3 | Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Hybrid Soft Computing Systems, Rough Sets, Swarm Intelligence |
| M20IT1206 | Advanced Data Mining Lab | Lab | 1.5 | Implementation of Association Rules, Classification Algorithms, Clustering Algorithms, Data Preprocessing Techniques, Using Weka Tool |
| M20IT1207 | Machine Learning Lab | Lab | 1.5 | Python for Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Deep Learning Frameworks (TensorFlow/Keras), Scikit-learn Library |
| M20AC1208 | English for Research Paper Writing | Audit Course | 0 | Planning a Research Paper, Keywords and Abstract Writing, Introduction and Literature Review, Reporting Results and Discussion, Avoiding Plagiarism, Referencing Styles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M20OE1101 | Open Elective | Open Elective | 3 | Project Management Principles, Intellectual Property Rights, Entrepreneurship Development, Disaster Management, Business Analytics Fundamentals |
| M20IT2101A | Big Data Analytics | Professional Elective V | 3 | Big Data Fundamentals, Hadoop Ecosystem (HDFS, MapReduce), Spark and its Components, NoSQL Databases (Cassandra, MongoDB), Data Stream Processing, Big Data Security |
| M20IT2101B | Deep Learning | Professional Elective V | 3 | Neural Network Architectures, Perceptrons and Multilayer Perceptrons, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders and GANs, Deep Reinforcement Learning |
| M20IT2101C | Ethical Hacking & Penetration Testing | Professional Elective V | 3 | Introduction to Ethical Hacking, Footprinting and Reconnaissance, Scanning and Enumeration, System Hacking, Malware Threats, Web Application Hacking |
| M20IT2102 | Dissertation Part - I / Industrial Project | Project | 10 | Problem Identification, Extensive Literature Survey, Methodology Design and Planning, Preliminary Implementation, Initial Results and Analysis, Interim Report Writing |
| M20IT2103 | MOOC Course | MOOC Course | 2 | Self-paced learning on advanced IT topics, Industry-relevant skills acquisition, Certification from recognized platforms (NPTEL, Coursera), Specialized domain knowledge, Enhancing technical expertise |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M20IT2201 | Dissertation Part - II / Industrial Project | Project | 16 | Advanced Implementation and Experimentation, Performance Evaluation and Testing, Comprehensive Result Analysis, Thesis Writing and Documentation, Project Defense and Presentation, Publication of Research Findings |
