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B-TECH in Computer Science Engineering Cyber Security at Kalinga Institute of Industrial Technology
Khordha, Odisha
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About the Specialization
What is Computer Science & Engineering (Cyber Security) at Kalinga Institute of Industrial Technology Khordha?
This Computer Science & Engineering (Cyber Security) program at Kalinga Institute of Industrial Technology, Bhubaneswar, focuses on equipping students with expertise to protect digital assets and critical infrastructure. It addresses the growing need for skilled cyber security professionals in India''''s rapidly digitalizing economy, offering a blend of theoretical knowledge and practical application to tackle evolving cyber threats.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for problem-solving and an interest in technology and security. It also caters to aspiring security analysts, network engineers, or software developers looking to specialize in cyber defense. Students with a background in mathematics and computer science fundamentals will find this curriculum particularly engaging.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative careers in India as Cyber Security Analysts, Ethical Hackers, Security Consultants, or Digital Forensics Experts. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience. The program aims to align with industry certifications like CompTIA Security+, CEH, and Cisco Certified CyberOps Associate, enhancing career progression.
Student Success Practices
Foundation Stage
Master Programming & Data Structures- (Semester 1-2)
Develop a strong foundation in C/Java programming and data structures by diligently practicing coding problems. Focus on understanding algorithms and their complexities.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, online courses on Coursera/edX for DSA
Career Connection
Essential for cracking technical interviews for core engineering roles and building efficient secure applications.
Excel in Engineering Mathematics- (Semester 1-2)
Build a robust understanding of Calculus, Linear Algebra, Discrete Mathematics, and Probability & Statistics. These form the bedrock for advanced CS and Cyber Security concepts.
Tools & Resources
Khan Academy, NPTEL lectures, standard textbooks, peer study groups
Career Connection
Crucial for understanding algorithms, cryptography, machine learning in cyber security, and research roles.
Engage in Basic Electronics & Hardware Projects- (Semester 1-2)
Explore fundamental electronics, digital logic, and basic electrical engineering concepts. Build small circuits or work on mini-projects to understand hardware interaction.
Tools & Resources
Arduino kits, Raspberry Pi, online circuit simulators (CircuitVerse), YouTube tutorials
Career Connection
Provides insight into hardware-level security, IoT security, and embedded systems, which are increasingly vulnerable.
Intermediate Stage
Deep Dive into Operating Systems & Networking- (Semester 3-4)
Beyond theoretical knowledge, gain practical experience with Linux/Unix commands, shell scripting, network configuration, and packet analysis. Understand OS and network vulnerabilities.
Tools & Resources
VirtualBox/VMware with Linux distributions, Wireshark, Nmap, Cisco Packet Tracer, Networking for Dummies resources
Career Connection
Forms the backbone of network security, system administration, and penetration testing roles.
Build a Strong Cyber Security Project Portfolio- (Semester 4-5)
Start working on practical cyber security projects early. This could involve building a simple cryptographic tool, setting up a secure network, or performing basic vulnerability assessments.
Tools & Resources
GitHub for version control, Python with crypto libraries (PyCryptodome), OWASP ZAP, Metasploit (for learning, in a controlled environment)
Career Connection
Demonstrates practical skills to potential employers, crucial for internships and entry-level security jobs.
Participate in Hackathons & CTF Competitions- (Semester 4-5)
Actively join Capture The Flag (CTF) competitions and hackathons, both online and offline. This provides hands-on experience in ethical hacking, forensics, and problem-solving under pressure.
Tools & Resources
Online CTF platforms (e.g., CTFtime.org, TryHackMe), local college hackathons
Career Connection
Develops critical thinking, teamwork, and practical offensive/defensive security skills highly valued by employers.
Advanced Stage
Focus on Specialization & Advanced Electives- (Semester 6-7)
Choose electives strategically to build expertise in areas like Digital Forensics, Cloud Security, Web Application Security, or VAPT. Conduct in-depth research in these fields.
Tools & Resources
Specific tools for chosen domain (e.g., Autopsy, Volatility for forensics; cloud security platforms; Burp Suite for web security)
Career Connection
Creates a distinct career profile, making you a specialist in a high-demand niche within cyber security.
Secure an Industry Internship & Capstone Project- (Semester 7-8)
Pursue a significant internship in a cybersecurity firm or an IT company''''s security division. Utilize the internship experience as the basis for your final year project.
Tools & Resources
LinkedIn for networking, university placement cell, industry contacts, project management tools
Career Connection
Provides invaluable real-world experience, networking opportunities, and often leads to pre-placement offers.
Prepare for Certifications & Placements- (Semester 7-8)
Alongside academic studies, prepare for industry-recognized certifications relevant to your chosen specialization (e.g., CEH, CompTIA Security+, AWS/Azure Security, CISSP entry-level). Actively engage in placement training.
Tools & Resources
Official certification study guides, online training platforms (Cybrary, Sans Institute), mock interviews, resume workshops
Career Connection
Boosts employability significantly, validates skills, and opens doors to top-tier security roles in India and globally.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 or equivalent examination with at least 60% marks in aggregate with Physics, Chemistry & Mathematics (PCM) and also 60% marks in PCM in 10+2.
Duration: 8 semesters / 4 years
Credits: 172 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS1001 | Engineering Chemistry | Basic Science | 4 | Atomic and molecular structure, Chemical Thermodynamics, Electrochemistry, Reaction kinetics, Spectroscopy, Polymers |
| MA1003 | Calculus | Basic Science | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Sequences and Series, Vector Calculus |
| CS1001 | Programming for Problem Solving | Program Core | 3 | Introduction to Programming, Control Structures, Functions, Arrays, Pointers, Structures, File Handling |
| CS1002 | Programming for Problem Solving Lab | Lab | 2 | C programming basics, Conditional statements and loops, Functions and recursion, Arrays and pointers, Structures and file handling |
| ME1001 | Basic Mechanical Engineering | Engineering Science | 3 | Thermodynamics, IC Engines, Refrigeration and Air Conditioning, Power Transmission, Material Science, Manufacturing Processes |
| BS1002 | Engineering Chemistry Lab | Lab | 1 | Volumetric analysis, Instrumental methods of analysis, Chemical synthesis, Water analysis, Corrosion studies |
| ME1002 | Basic Mechanical Engineering Lab | Lab | 1 | Engine performance testing, Lathe operation, Welding processes, Measurement techniques, Pneumatics and Hydraulics |
| EC1001 | Basic Electronics Engineering | Engineering Science | 3 | Semiconductor Devices, Rectifiers and Filters, Transistors and Amplifiers, Digital Electronics, Operational Amplifiers, Communication Systems |
| EC1002 | Basic Electronics Engineering Lab | Lab | 1 | PN Junction characteristics, Rectifier circuits, Transistor biasing, Logic gates implementation, Op-amp applications |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA1005 | Linear Algebra & Differential Equations | Basic Science | 4 | Matrices and Determinants, Vector spaces, Eigenvalues and Eigenvectors, First order differential equations, Higher order linear differential equations |
| PH1001 | Engineering Physics | Basic Science | 4 | Quantum Mechanics, Solid State Physics, Optics and Lasers, Electromagnetism, Modern Physics |
| PH1002 | Engineering Physics Lab | Lab | 1 | Experiments in Optics, Electricity and Magnetism, Semiconductor device characteristics, Diffraction and interference, Spectroscopy |
| HS1001 | English for Communication | Humanities Science | 2 | Grammar and Vocabulary, Reading Comprehension, Writing Skills (Reports, Emails), Presentation Skills, Group Discussions and Interviews |
| EE1001 | Basic Electrical Engineering | Engineering Science | 3 | DC Circuit Analysis, AC Circuit Analysis, Transformers, DC and AC Machines, Electrical Safety, Power Systems |
| EE1002 | Basic Electrical Engineering Lab | Lab | 1 | Verification of circuit laws, Measurement of electrical quantities, Characteristics of DC machines, Transformer testing, Household wiring |
| CS1003 | Data Structures | Program Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees (Binary, BST, AVL), Graphs (Traversal, Shortest Path), Searching and Sorting Algorithms |
| CS1004 | Data Structures Lab | Lab | 2 | Implementation of arrays and linked lists, Stack and queue operations, Tree traversals, Graph algorithms, Sorting and searching techniques |
| CE1001 | Engineering Graphics & Design | Engineering Science | 2 | Orthographic Projections, Sectional Views, Isometric Projections, Introduction to CAD, Dimensioning and Tolerancing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA2001 | Discrete Mathematics | Basic Science | 4 | Mathematical Logic, Set Theory and Relations, Functions and Induction, Graph Theory, Combinatorics and Probability, Algebraic Structures |
| CS2001 | Object Oriented Programming | Program Core | 3 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, Multithreading, File I/O |
| CS2002 | Object Oriented Programming Lab | Lab | 2 | Java/C++ programming for OOP, Implementing inheritance and polymorphism, Handling exceptions, Developing GUI applications, File management operations |
| CS2003 | Computer Organization & Architecture | Program Core | 3 | Digital Logic Circuits, Data Representation, CPU Design (Datapath, Control Unit), Memory Hierarchy (Cache, Virtual Memory), I/O Organization, Pipelining |
| CS2005 | Operating Systems | Program Core | 3 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems, Deadlocks |
| CS2006 | Operating Systems Lab | Lab | 2 | Shell scripting, Process synchronization (semaphores, mutexes), Memory allocation strategies, File system operations, CPU scheduling algorithms |
| CS2007 | Database Management System | Program Core | 3 | ER Model and Relational Model, Relational Algebra and Calculus, SQL Queries, Normalization, Transaction Management, Concurrency Control and Recovery |
| CS2008 | Database Management System Lab | Lab | 2 | SQL DDL, DML, DCL commands, Advanced SQL queries (joins, subqueries), Database design and normalization, PL/SQL programming, Transaction control |
| BS2001 | Environmental Science | Basic Science | 3 | Ecosystems and Biodiversity, Environmental Pollution (Air, Water, Soil), Climate Change and Global Warming, Waste Management, Environmental Ethics, Sustainable Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA2003 | Probability & Statistics | Basic Science | 4 | Basic Probability, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression, Analysis of Variance |
| CS2009 | Design & Analysis of Algorithms | Program Core | 3 | Algorithm Complexity (Time, Space), Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| CS2010 | Design & Analysis of Algorithms Lab | Lab | 2 | Implementation of sorting/searching algorithms, Graph traversal algorithms, Dynamic programming problems, Greedy approach problems, Performance analysis of algorithms |
| CS2011 | Computer Networks | Program Core | 3 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols, Network Security Basics |
| CS2012 | Computer Networks Lab | Lab | 2 | Network configuration (IP addressing, routing), Socket programming, Packet analysis with Wireshark, Network tools (ping, traceroute), Building client-server applications |
| CS2013 | Web Technologies | Program Core | 3 | HTML5 and CSS3, JavaScript and DOM, Web Servers (Apache, Nginx), Client-Server Architecture, XML and AJAX, Basic Web Security |
| CS2014 | Web Technologies Lab | Lab | 2 | Developing static and dynamic web pages, Client-side scripting with JavaScript, Server-side scripting (e.g., PHP/Node.js basics), Database integration with web applications, Responsive web design |
| CS2015 | Software Engineering | Program Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Maintenance, Project Management and Estimation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS3001 | Principles of Management | Humanities Science | 3 | Functions of Management (Planning, Organizing), Directing and Controlling, Decision Making, Motivation and Leadership, Organizational Structure, Ethics in Management |
| CS3001 | Formal Language & Automata Theory | Program Core | 3 | Finite Automata (DFA, NFA), Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| CS3003 | Compiler Design | Program Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Runtime Environments |
| CS3005 | Cyber Security | Program Core (Specialization) | 3 | Introduction to Cyber Security, Cryptography Fundamentals, Network Security Concepts, Web Security Vulnerabilities, Operating System Security, Cyber Law and Ethics |
| CS3006 | Cyber Security Lab | Lab (Specialization) | 2 | Implementation of cryptographic algorithms, Network scanning and enumeration, Firewall configuration, Web vulnerability assessment, Packet sniffing and analysis |
| CS3007 | Artificial Intelligence (Professional Elective - I) | Professional Elective | 3 | Problem Solving Agents, Search Algorithms (Heuristic, Adversarial), Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing, Expert Systems |
| CS3019 | Ethical Hacking & Digital Forensics (Cyber Security Elective - I) | Cyber Security Elective | 3 | Phases of Ethical Hacking, Footprinting and Reconnaissance, Scanning Networks, System Hacking, Malware Threats, Digital Forensic Process and Evidence Collection |
| CS3027 | Project - I | Project | 1 | Problem identification and analysis, Project design and planning, Basic implementation, Documentation and presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS3002 | Machine Learning | Program Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning, Neural Networks Fundamentals, Deep Learning Introduction, Model Evaluation and Selection |
| CS3004 | Machine Learning Lab | Lab | 2 | Data preprocessing techniques, Implementation of ML algorithms (Python/R), Model training and testing, Feature engineering, Evaluation metrics |
| CS3031 | Wireless & Mobile Security (Cyber Security Elective - II) | Cyber Security Elective | 3 | Mobile Operating System Security, Mobile Application Security, Wireless Network Security (Wi-Fi, Bluetooth), IoT Security Fundamentals, Mobile Device Management (MDM), Mobile Malware Analysis |
| CS3039 | Computer Forensics & Investigation (Cyber Security Elective - III) | Cyber Security Elective | 3 | Fundamentals of Forensic Science, Digital Evidence Acquisition, File System Analysis, Network Forensics, Malware Forensics, Reporting and Expert Witness Testimony |
| CS3028 | Project - II | Project | 1 | Advanced problem-solving, System design and architecture, Complex implementation strategies, Testing and debugging, Technical report writing |
| HS3003 | Professional Ethics | Humanities Science | 2 | Ethical Theories, Professionalism and Responsibility, Intellectual Property Rights, Cyber Ethics, Whistleblowing, Corporate Social Responsibility |
| OE3XXX | Open Elective - I | Open Elective | 3 | |
| ACXXXX | Audit Course - I | Audit Course | 0 |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| OE4XXX | Open Elective - II | Open Elective | 3 | |
| OE4XXX | Open Elective - III | Open Elective | 3 | |
| CS4025 | Vulnerability Assessment & Penetration Testing (Cyber Security Elective - IV) | Cyber Security Elective | 3 | VA Methodologies, Penetration Testing Phases, Tools for VAPT (Nmap, Nessus), Exploitation Techniques, Post-Exploitation and Reporting, Web and Mobile VAPT |
| CS4003 | Distributed Computing (Professional Elective - II) | Professional Elective | 3 | Distributed System Models, Client-Server Communication, Remote Procedure Calls (RPC), Distributed File Systems, Concurrency Control, Fault Tolerance |
| CS4013 | Deep Learning (Professional Elective - III) | Professional Elective | 3 | Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders and GANs, Transfer Learning, Deep Learning Frameworks (TensorFlow, PyTorch) |
| CS4021 | Project - III / Internship | Project / Internship | 4 | Advanced project development, Research and literature review, Industry-standard problem-solving, Technical documentation, Presentation of findings |
| ACXXXX | Audit Course - II | Audit Course | 0 |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4022 | Industrial Training / Project - IV | Industrial Training / Major Project | 15 | Real-world industry exposure, Comprehensive project design and implementation, Advanced problem-solving in an industrial setting, Thesis writing and defense, Professional skill development |
