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B-TECH in Computer Science And Systems Engineering at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Computer Science and Systems Engineering at CHRIST (Deemed to be University) Bengaluru?
This B.Tech Computer Science and Systems Engineering program at CHRIST (Deemed to be University) focuses on the design, development, and management of complex, large-scale computing systems. It integrates core computer science with a deep understanding of system architecture, reliability, and performance. In the dynamic Indian industry, this specialization is crucial for building robust digital infrastructure and applications, meeting the high demand for engineers proficient in cloud, distributed, and enterprise-level systems.
Who Should Apply?
This program is ideal for aspiring software architects, system integrators, DevOps engineers, and cloud specialists. It caters to fresh graduates with a strong aptitude for problem-solving and an interest in how complex software systems are built and managed. It also benefits those seeking careers in large-scale data management, network infrastructure, and cybersecurity, providing a solid foundation for innovation in India''''s tech landscape.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Systems Architects, Cloud Engineers, Backend Developers, and Site Reliability Engineers. Entry-level salaries typically range from INR 5-8 lakhs per annum, with experienced professionals earning significantly higher. Graduates are well-prepared for roles in Indian MNCs and startups, contributing to the country''''s digital transformation initiatives and aligning with industry certifications in cloud platforms like AWS or Azure.
Student Success Practices
Foundation Stage
Master Programming & Problem Solving Basics- (Semester 1-2)
Dedicate time to consistently practice fundamental programming concepts in C and Java, focusing on data structures and algorithms. Participate in coding challenges regularly to improve logical thinking and problem-solving speed.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online IDEs
Career Connection
A strong foundation in programming and algorithms is essential for clearing technical interviews and excelling in competitive programming, which are critical for securing top placements in software development roles.
Build a Foundational Project Portfolio- (Semester 1-2)
Start working on small, personal projects using learned concepts, such as a basic calculator in C, a simple banking application in Java, or a data structure visualization. Document your code and project outcomes on GitHub.
Tools & Resources
GitHub, VS Code, Java Development Kit (JDK)
Career Connection
Showcasing practical application of theoretical knowledge through projects helps interviewers assess your practical skills and passion, distinguishing you from other candidates during internship and placement drives.
Engage in Peer Learning & Academic Support- (Semester 1-2)
Form study groups to discuss complex topics, solve problems together, and prepare for exams. Utilize university''''s academic support services like tutoring or doubt-clearing sessions.
Tools & Resources
Microsoft Teams, Google Meet, University''''s Learning Management System (LMS)
Career Connection
Collaborative learning enhances understanding, builds teamwork skills crucial for industry, and improves academic performance, leading to better CGPA, a common screening criterion for Indian companies.
Intermediate Stage
Specialize in Systems-level Concepts- (Semester 3-5)
Deep dive into Operating Systems, Database Management, and Computer Networks, focusing on their underlying architecture and practical implementations. Explore open-source projects in these areas.
Tools & Resources
Linux Kernel documentation, PostgreSQL/MySQL official docs, Wireshark
Career Connection
Understanding core system components is vital for Systems Engineering roles. This specialization helps in roles like SRE, DevOps, and backend development, highly sought after in India''''s product-based companies.
Pursue Internships and Industry Exposure- (Semester 4-6)
Actively seek and complete internships (even virtual or part-time) in relevant domains like software development, cloud infrastructure, or data engineering. Attend industry workshops and tech talks.
Tools & Resources
LinkedIn Jobs, Internshala, College placement cell
Career Connection
Internships provide invaluable real-world experience, help build a professional network, and often lead to pre-placement offers (PPOs) from top Indian and international firms, easing the placement process.
Develop Practical Skills in Cloud & DevOps- (Semester 5-6)
Start learning popular cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, Git, Jenkins). Obtain relevant certifications to validate your skills.
Tools & Resources
AWS Free Tier, Docker Desktop, KodeKloud/A Cloud Guru courses, Azure for Students
Career Connection
Cloud and DevOps skills are in high demand across all Indian tech companies. Certifications demonstrate proficiency and significantly boost employability for roles like Cloud Engineer, DevOps Engineer, and Infrastructure Engineer.
Advanced Stage
Undertake a Comprehensive Major Project- (Semester 7-8)
Collaborate on a significant project that integrates various system engineering concepts, such as building a scalable microservices application, a distributed data processing system, or a secure network solution. Focus on end-to-end implementation and documentation.
Tools & Resources
Cloud platforms (AWS/Azure), Kubernetes, Spring Boot, Kafka
Career Connection
A well-executed major project serves as a capstone, demonstrating your ability to apply complex theoretical knowledge to practical problems, making you a highly attractive candidate for senior development or architect roles.
Intensify Placement Preparation and Mock Interviews- (Semester 7-8)
Practice aptitude tests, technical interviews covering DSA, OS, DBMS, CN, and specialized topics. Engage in mock interviews with faculty, alumni, and peers to refine communication and problem-solving under pressure.
Tools & Resources
Placement papers, LeetCode, Pramp (for mock interviews), College Career Services
Career Connection
Thorough preparation for placement processes is critical. Excellent performance in these stages directly leads to securing coveted job offers from leading companies in India, often with competitive salary packages.
Explore Advanced Specialization and Research- (Semester 7-8)
Pursue advanced topics within systems engineering like cyber-physical systems, distributed ledger technologies, or advanced security. Consider publishing a research paper or participating in national-level technical competitions.
Tools & Resources
IEEE Xplore, arXiv, NPTEL advanced courses, Smart India Hackathon
Career Connection
This showcases a deep interest and expertise, opening doors to R&D roles, higher studies (M.Tech/PhD), or specialized engineering positions in innovative startups and core tech companies in India.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Mathematics, and Chemistry/Biology/Computer Science with a minimum aggregate of 60% marks from any recognized Board in India or abroad. Candidates must also meet specific entrance exam (CUET/JEE Main/CET) score requirements.
Duration: 8 semesters / 4 years
Credits: 192 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE111 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors |
| BTCSSE112 | Engineering Physics | Core | 4 | Quantum Mechanics, Optics and Lasers, Solid State Physics, Semiconductor Physics, Electromagnetism |
| BTCSSE113 | Basic Electrical and Electronics Engineering | Core | 4 | DC and AC Circuits, Network Theorems, Diodes and Transistors, Operational Amplifiers, Digital Logic Gates |
| BTCSSE114 | Programming in C | Core | 3 | Introduction to Programming, Data Types and Operators, Control Structures, Functions and Arrays, Pointers and Structures |
| BTCSSE115 | Communicative English | Core | 2 | Grammar and Vocabulary, Writing Skills, Listening and Speaking, Presentation Skills, Technical Communication |
| BTCSSE151 | Engineering Physics Lab | Lab | 1 | Optical Phenomena Experiments, Semiconductor Device Characteristics, Magnetic Field Measurements, Ultrasonics Applications, Material Characterization |
| BTCSSE152 | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Circuit Laws Verification, AC Circuit Analysis, Diode and Transistor Characteristics, Amplifier Circuits, Basic Logic Gates |
| BTCSSE153 | Programming in C Lab | Lab | 1 | Conditional Statements and Loops, Functions and Recursion, Array and String Manipulation, Pointers and File Handling, Data Structures using C |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE211 | Differential Equations and Laplace Transforms | Core | 4 | First Order ODEs, Higher Order ODEs, Series Solutions, Laplace Transform Properties, Inverse Laplace Transforms |
| BTCSSE212 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its Control, Polymers and Composites, Water Technology, Spectroscopic Techniques |
| BTCSSE213 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BTCSSE214 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| BTCSSE215 | Environmental Science and Engineering | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Renewable Energy Sources, Environmental Policies and Laws |
| BTCSSE251 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Analysis, Water Quality Testing, Polymer Synthesis, Corrosion Rate Measurement |
| BTCSSE252 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Representation and Traversal, Sorting and Searching Practice |
| BTCSSE253 | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Combinational Circuit Design, Sequential Circuit Implementation, Flip-Flops and Counters, Adders and Subtractors |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE311 | Object Oriented Programming using Java | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading, GUI Programming |
| BTCSSE312 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| BTCSSE313 | Computer Organization and Architecture | Core | 4 | Basic Computer Functions, CPU Organization, Memory System, I/O Organization, Pipelining and Parallel Processing |
| BTCSSE314 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks and Concurrency |
| BTCSSE315 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Design Principles, Software Testing, Project Management |
| BTCSSE351 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Interface Design, Polymorphism and Abstraction, File I/O and Exception Handling, Multithreading and GUI applications |
| BTCSSE352 | Operating Systems Lab | Lab | 1 | Process Creation and Management, CPU Scheduling Algorithms, Memory Allocation Strategies, Disk Scheduling Algorithms, Synchronization using Semaphores |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE411 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| BTCSSE412 | Database Management Systems | Core | 4 | ER Modeling, Relational Algebra, SQL Querying, Normalization, Transaction Management |
| BTCSSE413 | Microprocessors and Microcontrollers | Core | 3 | 8086 Microprocessor Architecture, Assembly Language Programming, Interfacing Techniques, 8051 Microcontroller, Interrupts and Timers |
| BTCSSE414 | Computer Networks | Core | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols |
| BTCSSE415 | Probability and Statistics | Core | 2 | Probability Distributions, Random Variables, Hypothesis Testing, Regression Analysis, Correlation |
| BTCSSE451 | Database Management Systems Lab | Lab | 1 | DDL and DML Commands, Advanced SQL Queries, PL/SQL Programming, Database Connectivity, Transaction Control Language |
| BTCSSE452 | Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions, Time Complexity Analysis |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE511 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Decidability and Undecidability |
| BTCSSE512 | Artificial Intelligence and Machine Learning | Core | 4 | AI Search Algorithms, Knowledge Representation, Supervised Learning, Unsupervised Learning, Neural Networks Basics |
| BTCSSE513 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| BTCSSE514 | System Programming | Core | 3 | Assemblers, Loaders and Linkers, Macros, Device Drivers, System Calls |
| BTCSSE52X | Elective I (e.g., Cloud Computing Fundamentals) | Elective | 3 | Cloud Service Models, Deployment Models, Virtualization, Cloud Security, Containerization Basics |
| BTCSSE551 | AI and Machine Learning Lab | Lab | 1 | Python for ML, Regression Algorithms, Classification Algorithms, Clustering Techniques, Neural Network Implementation |
| BTCSSE552 | System Programming Lab | Lab | 1 | Assembler Implementation, Loader Implementation, Shell Scripting, System Call Programming, Process Management Utilities |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE611 | Distributed Systems | Core | 4 | Architectures of Distributed Systems, Interprocess Communication, Distributed File Systems, Consensus Algorithms, Fault Tolerance |
| BTCSSE612 | Big Data Analytics | Core | 4 | Big Data Technologies, Hadoop Ecosystem, MapReduce Programming, NoSQL Databases, Data Stream Processing |
| BTCSSE613 | Network Security | Core | 3 | Cryptography, Network Attacks, Firewalls and IDS, VPN and SSL/TLS, Blockchain Fundamentals |
| BTCSSE614 | Cloud Native Computing | Specialization Core | 3 | Microservices Architecture, Container Orchestration (Kubernetes), DevOps Principles, Serverless Computing, CI/CD Pipelines |
| BTCSSE62X | Elective II (e.g., DevOps) | Elective | 3 | Version Control Systems, Configuration Management, Continuous Integration, Continuous Deployment, Monitoring and Logging |
| BTCSSE661 | Minor Project | Project | 2 | Problem Identification, System Design, Implementation, Testing and Debugging, Technical Documentation |
| BTCSSE651 | Big Data Analytics Lab | Lab | 1 | Hadoop Installation and Configuration, MapReduce Programming, Hive and Pig Queries, Spark Programming, NoSQL Database Operations |
| BTCSSE652 | Network Security Lab | Lab | 1 | Cryptography Algorithms Implementation, Packet Sniffing and Analysis, Firewall Configuration, Intrusion Detection Systems, Vulnerability Scanning |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE711 | Advanced Systems Design | Specialization Core | 4 | System Architecture Patterns, Scalability and Reliability, Performance Optimization, Security in Design, Design for Maintainability |
| BTCSSE712 | Cyber Physical Systems | Specialization Core | 3 | CPS Architectures, Sensing and Actuation, Real-time Systems, CPS Security, IoT Integration |
| BTCSSE713 | Internet of Things (IoT) | Core | 3 | IoT Architecture, IoT Protocols, Edge and Fog Computing, IoT Security, IoT Platforms |
| BTCSSE72X | Elective III (e.g., Blockchain Technology) | Elective | 3 | Cryptographic Primitives, Distributed Ledgers, Consensus Mechanisms, Smart Contracts, Blockchain Applications |
| BTCSSE73X | Elective IV (e.g., Ethical Hacking) | Elective | 3 | Information Gathering, Vulnerability Analysis, Penetration Testing, Web Application Attacks, Wireless Network Hacking |
| BTCSSE761 | Major Project - Phase I / Internship | Project | 4 | Project Proposal Development, Literature Review, Requirement Analysis, Preliminary Design, System Architecture Definition |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCSSE811 | Professional Ethics and Intellectual Property Rights | Core | 2 | Engineering Ethics, Moral and Ethical Dilemmas, Cyber Ethics, Patents and Copyrights, Trade Secrets |
| BTCSSE861 | Major Project - Phase II / Internship | Project | 12 | System Implementation, Testing and Validation, Performance Evaluation, Project Documentation, Presentation and Viva Voce |
| BTCSSE871 | Comprehensive Viva Voce | Assessment | 2 | Overall Program Knowledge, Core Subject Understanding, Specialization Concepts, Problem-Solving Skills, Communication Skills |
| BTCSSE82X | Elective V (e.g., Enterprise Resource Planning) | Elective | 3 | ERP Modules, Business Processes, ERP Implementation Strategies, Supply Chain Management, Customer Relationship Management |
