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M-TECH in Computer Science And Engineering at National Institute of Technology Rourkela
Sundargarh, Odisha
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About the Specialization
What is Computer Science and Engineering at National Institute of Technology Rourkela Sundargarh?
This M.Tech Computer Science and Engineering program at National Institute of Technology Rourkela focuses on equipping students with advanced theoretical knowledge and practical skills in cutting-edge areas of computing. It emphasizes a robust research-oriented learning environment, preparing graduates to address complex challenges in India''''s rapidly evolving tech landscape, fostering innovation and leadership in core and emerging domains.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech. in Computer Science, IT, Electronics, or related fields, possessing a valid GATE score and a strong desire to specialize in advanced computing. It caters to fresh graduates seeking entry into R&D roles, and working professionals looking to upskill in areas like Artificial Intelligence, Cybersecurity, Big Data, or Cloud Computing, contributing significantly to India''''s digital transformation initiatives.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers in India as Research Scientists, AI/ML Engineers, Data Scientists, Cybersecurity Analysts, Cloud Architects, or Software Development Engineers in leading IT companies, startups, and government research organizations. Entry-level salaries typically range from INR 7-15 LPA, with substantial growth trajectories. The program also prepares students for doctoral studies and entrepreneurial ventures, aligning with national innovation policies.
Student Success Practices
Foundation Stage
Master Core Concepts and Algorithms- (Semester 1-2)
Dedicate significant time to thoroughly understand advanced data structures, algorithms, and computer architecture. Utilize online platforms like GeeksforGeeks, LeetCode, and HackerRank for extensive problem-solving practice and competitive programming, enhancing your foundational analytical skills.
Tools & Resources
GeeksforGeeks, LeetCode, HackerRank, NPTEL lectures, MIT OpenCourseware
Career Connection
Strong fundamentals are crucial for cracking technical interviews at top product-based companies and excelling in challenging research and development roles in India''''s competitive tech sector, laying the groundwork for complex problem-solving.
Active Participation in Labs and Seminars- (Semester 1-2)
Engage proactively in lab sessions, implementing theoretical concepts in real-world scenarios using appropriate programming languages and tools. For seminars, choose a contemporary research topic, conduct a thorough literature review, and present your findings effectively to hone your research and communication skills early on.
Tools & Resources
GitHub for code repositories, Academic databases (IEEE Xplore, ACM Digital Library), Presentation software
Career Connection
Practical application skills developed in labs are directly transferable to industry projects, while seminar presentations build confidence and communication, essential for leadership and technical presentation roles.
Network with Peers and Faculty- (Semester 1-2)
Form study groups with classmates to discuss complex topics and collaborate on assignments and mini-projects. Actively engage with faculty during office hours to clarify doubts, discuss research interests, and seek guidance on academic and career paths, leveraging their expertise and expanding your professional network.
Tools & Resources
Microsoft Teams/Google Meet for group discussions, Departmental forums, LinkedIn
Career Connection
Building a strong academic and peer network can lead to collaborative research opportunities, valuable mentorship, and future career recommendations within the Indian tech ecosystem, facilitating access to hidden job markets.
Intermediate Stage
Explore and Specialize through Electives- (Semester 3)
Strategically choose departmental and open electives that align with your career aspirations and emerging industry trends like Artificial Intelligence/Machine Learning, Cybersecurity, Cloud Computing, or Blockchain. Go beyond classroom learning by undertaking mini-projects in these specialized areas to gain practical expertise.
Tools & Resources
Coursera/edX for specialized certifications, Kaggle for data science projects, Cloud platforms like AWS/Azure/GCP
Career Connection
Specialized knowledge and practical projects gained through electives make you highly marketable for niche roles in India''''s booming tech sectors, attracting premium placements and contributing to cutting-edge technological advancements.
Seek Industry Internships and Live Projects- (Semester 3)
Actively apply for and secure internships during semester breaks or pursue live industry projects offered by companies or faculty. This provides invaluable exposure to professional work environments, allows you to apply academic knowledge to real-world problems, and builds a strong professional resume essential for placements.
Tools & Resources
LinkedIn, Internshala, Naukri.com, Company career pages
Career Connection
Internships are often a direct gateway to pre-placement offers (PPOs) in top Indian companies and MNCs, significantly boosting your placement prospects and providing real-world experience, enhancing your employability.
Develop Strong Research and Publication Skills- (Semester 3)
Work closely with your faculty advisor on your mini-project and dissertation proposal, focusing on identifying novel research problems and developing robust methodologies. Aim to publish your findings in reputable national or international conferences/journals, showcasing your academic rigor and contributing to the scientific community.
Tools & Resources
IEEE Xplore, ACM Digital Library, Scopus, LaTeX for scientific writing
Career Connection
Publications significantly enhance your academic profile, which is crucial for pursuing Ph.D. studies or securing R&D roles in leading companies and government research labs across India, establishing your expertise.
Advanced Stage
Focus on Dissertation Excellence- (Semester 4)
Dedicate extensive effort to your Dissertation-II. Ensure your research contributes significantly to the field, involves rigorous methodology, and yields robust, verifiable results. Regular, in-depth meetings with your supervisor are key to successful completion, thesis writing, and a strong defense.
Tools & Resources
Advanced simulation software, High-performance computing resources, Statistical analysis tools, Grammarly for proofreading
Career Connection
A high-quality dissertation is a testament to your advanced research capabilities and problem-solving skills, opening doors to R&D positions, academic careers, and roles in cutting-edge tech firms that value innovation and deep technical understanding.
Intensive Placement Preparation- (Semester 4)
Begin intensive preparation for campus placements early in your final year. This includes rigorous practice for technical and aptitude tests, mock interviews with industry experts, resume and cover letter building workshops, and honing your soft skills. Leverage the institute''''s placement cell resources and alumni network.
Tools & Resources
Online aptitude test platforms, Mock interview services, Career counseling, Professional networking events
Career Connection
Thorough and targeted preparation directly translates into securing desirable job offers from top-tier companies visiting NIT Rourkela, ensuring a smooth and successful transition into your professional career in the Indian IT industry.
Build a Professional Online Presence- (Semester 4)
Create and consistently maintain a professional LinkedIn profile, showcasing your projects, skills, academic achievements, and research interests. Actively participate in hackathons, coding challenges, and industry-specific webinars and workshops to continuously learn, network, and demonstrate your capabilities.
Tools & Resources
LinkedIn, GitHub, Personal portfolio website/blog, Medium for technical articles
Career Connection
A strong and active online presence attracts recruiters and potential collaborators, helping you stand out in the competitive Indian job market and establish yourself as a recognized expert or thought leader in your specialized domain.
Program Structure and Curriculum
Eligibility:
- B.Tech./B.E. or equivalent degree in Computer Science and Engineering/ Information Technology/ Electronics and Communication Engineering/ Electrical Engineering/ Electrical and Electronics Engineering/Instrumentation Engineering/Electronics and Instrumentation Engineering/ Control Systems Engineering/Mathematics and Computing with valid GATE score in CS/EC/EE/IN, OR MCA/M.Sc. in Computer Science/Information Technology/Mathematics/Statistics/Electronics/Physics with valid GATE score in CS/MA/ST/EC/EE/IN. Candidates must have at least 6.5 CGPA or 60% marks in aggregate (for General/OBC/EWS candidates) and 6.0 CGPA or 55% marks in aggregate (for SC/ST/PwD candidates).
Duration: 2 years (4 semesters)
Credits: 64 Credits
Assessment: Internal: 40% (for theory courses) / 60% (for practical/lab/project courses), External: 60% (for theory courses) / 40% (for practical/lab/project courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Advanced Data Structures & Algorithms | Core | 3 | Algorithm Analysis Techniques, Advanced Data Structures (Heaps, Trees, Graphs), Graph Algorithms (MST, Shortest Path, Network Flow), Dynamic Programming Paradigms, Greedy Algorithms and Amortized Analysis, Computational Complexity |
| CS603 | Advanced Computer Architecture | Core | 3 | Instruction Set Architectures (ISA), Pipelining and Instruction Level Parallelism (ILP), Memory Hierarchy Design and Caches, Multiprocessors and Cache Coherence, Vector Processors and Graphics Processing Units (GPUs), Thread Level Parallelism |
| CS611 | Advanced Operating Systems | Core | 3 | Distributed Operating Systems Concepts, Process Synchronization in Distributed Environments, Distributed File Systems and Remote Procedure Calls, Network Operating Systems Principles, Virtualization Techniques and Hypervisors, Operating System Security and Protection |
| DE-I | Departmental Elective I | Elective | 3 | Deep Learning Architectures, Cloud Computing Paradigms and Services, Cyber Security Fundamentals and Attacks, Big Data Analytics and Frameworks, Natural Language Processing Techniques, Image Processing and Computer Vision |
| CS691 | Advanced Data Structures & Algorithms Lab | Lab | 2 | Implementation of Trees, Heaps, and Graphs, Dynamic Programming Problem Solving Practice, Network Flow and Matching Algorithms, Algorithm Design and Analysis using C++/Java, Performance Benchmarking of Algorithms |
| CS693 | Advanced Computer Architecture Lab | Lab | 2 | Processor Simulation using tools like Gem5, Pipelined Processor Design and Simulation, Memory System Performance Analysis, Cache Design and Optimization Techniques, Multi-core Architecture Experiments |
| CS681 | Seminar | Seminar | 2 | Research Topic Selection and Refinement, Literature Survey and Critical Review, Effective Technical Presentation Skills, Academic Report Writing Guidelines, Current Trends in Computer Science Research |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS602 | Advanced Database Systems | Core | 3 | Distributed Database Architecture and Query Processing, NoSQL Databases (Key-Value, Document, Column-Family, Graph), Data Warehousing, OLAP, and ETL Processes, Data Mining Techniques and Algorithms, Big Data Concepts and Technologies (Hadoop, Spark), Database Security, Privacy, and Blockchain Integration |
| CS604 | Advanced Computer Networks | Core | 3 | Advanced Network Protocols and Standards, Wireless and Mobile Networks (5G, WLAN, IoT), Software-Defined Networking (SDN) and Network Function Virtualization (NFV), Network Security Protocols and Cryptography, Cloud Networking and Data Center Networks, Internet of Things (IoT) Architectures and Protocols |
| CS612 | Principles of Soft Computing | Core | 3 | Artificial Neural Networks Architectures and Learning, Fuzzy Logic Systems and Fuzzy Set Theory, Genetic Algorithms and Evolutionary Computation, Swarm Intelligence (PSO, ACO), Machine Learning Paradigms, Hybrid Soft Computing Models |
| DE-II | Departmental Elective II | Elective | 3 | Blockchain Technology Principles and Applications, Quantum Computing Fundamentals and Algorithms, Reinforcement Learning and Control, Mobile Computing and Application Development, Parallel and Distributed Algorithms Design, Software Engineering Methodologies and Practices |
| CS692 | Advanced Database Systems Lab | Lab | 2 | NoSQL Database Implementation and Queries, Distributed Database Management, Data Warehousing ETL and Reporting Tools, Big Data Frameworks (Hadoop, Spark) Hands-on, Database Security Configuration and Auditing |
| CS694 | Advanced Computer Networks Lab | Lab | 2 | Network Simulation using NS2/NS3/Mininet, Socket Programming in C/Python, Configuration of Routers, Switches, Firewalls, Implementation of Network Security Protocols, Wireless Sensor Network Deployment |
| CS682 | Comprehensive Viva-Voce | Viva | 2 | Review of Core Computer Science Concepts, Assessment of Technical Understanding and Application, Communication and Presentation Skills Evaluation, Critical Thinking and Problem Solving Abilities, Overall M.Tech Program Knowledge Assessment |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701 | Research Methodology and IPR | Core | 3 | Research Problem Formulation and Design, Data Collection Methods and Analysis Techniques, Technical Report Writing and Thesis Structure, Plagiarism and Research Ethics, Intellectual Property Rights (IPR) Overview, Patenting and Commercialization of Research |
| DE-III | Departmental Elective III | Elective | 3 | IoT System Design and Implementation, Speech Processing Techniques and Applications, Advanced Cryptography and Security Protocols, Computer Vision Applications and Deep Learning, Cloud Security and Privacy, Ethical Hacking and Penetration Testing |
| OE-I | Open Elective I | Elective | 3 | Engineering Economics and Financial Management, Operations Research and Optimization Techniques, Project Management Principles and Practices, Entrepreneurship Development and Startup Ecosystem, Quality Management Systems and Standards, Industrial Safety and Environmental Management |
| CS797 | Mini Project/Dissertation-I | Project | 2 | Problem Definition and Scope Formulation, Detailed Literature Review and Gap Analysis, Methodology Design and Experimental Setup, Preliminary Implementation and Result Analysis, Technical Report and Presentation Preparation |
| CS799 | Dissertation-II / Internship | Project/Internship | 5 | In-depth Research and Experimentation, System Development and Integration, Advanced Data Analysis and Interpretation, Technical Paper Writing for Publication, Industrial Problem Solving and Application, Professional Skill Development through Internship |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS799 | Dissertation-II | Project | 12 | Advanced Research Contributions, Experimental Validation and Performance Evaluation, Comprehensive Thesis Writing and Documentation, Scientific Publication in Journals/Conferences, Oral Presentation and Final Viva Voce, Ethical Research and Data Integrity |
