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B-SC in Computer Science at Galgotias University
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is Computer Science at Galgotias University Gautam Buddh Nagar?
This B.Sc Computer Science program at Galgotias University focuses on providing a strong foundation in core computer science principles, programming, data management, and emerging technologies. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing practical skills and theoretical knowledge essential for a successful career in software development, data science, and allied fields. It aims to cultivate problem-solving abilities and innovative thinking.
Who Should Apply?
This program is ideal for recent 10+2 graduates with a keen interest in mathematics and computing, aspiring to build a career in the fast-paced technology sector. It caters to individuals seeking a foundational degree before pursuing higher education or directly entering the industry. It''''s suitable for those who enjoy logical reasoning, coding, and understanding how computer systems work, preparing them for entry-level roles in India''''s booming digital economy.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Junior Software Developer, Web Developer, Data Analyst, IT Support Specialist, and System Administrator. Entry-level salaries typically range from INR 3-6 lakhs per annum, with significant growth potential in Indian tech hubs like Bangalore, Hyderabad, and Pune. The program equips students for professional certifications in areas like cloud computing or cybersecurity, enhancing their market readiness.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time in semesters 1-2 to thoroughly understand C/C++ and data structures. Actively solve coding problems on platforms to solidify concepts and build a strong logical base, crucial for all future CS subjects.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank
Career Connection
Strong programming fundamentals are the bedrock for any software development role and are heavily tested in initial placement rounds for Indian IT companies.
Engage in Peer Learning and Study Groups- (Semester 1-2)
Form study groups with classmates to discuss complex topics, share understanding, and collectively solve problems. This enhances comprehension and develops collaborative skills vital for team-based projects in the industry.
Tools & Resources
WhatsApp groups, Microsoft Teams, University Library study spaces
Career Connection
Teamwork and communication are highly valued in corporate environments. Peer learning simulates this, preparing you for professional collaboration.
Explore Basic IT Certifications- (Semester 1-2)
Consider pursuing introductory certifications in basic IT skills or office productivity suites. This adds value to your resume and demonstrates proactive learning beyond the curriculum.
Tools & Resources
Microsoft Office Specialist (MOS), Google IT Support Professional Certificate (Coursera)
Career Connection
These certifications showcase practical skills that are often prerequisites for entry-level IT roles and can help you stand out in the Indian job market.
Intermediate Stage
Build Mini-Projects and Portfolio- (Semester 3-5)
Apply theoretical knowledge by developing small-scale projects using languages like Java/Python, web technologies, or databases. Document your projects on platforms like GitHub to build a visible portfolio.
Tools & Resources
GitHub, VS Code, NetBeans/IntelliJ IDEA, Figma (for UI/UX)
Career Connection
A strong project portfolio is critical for Indian startups and product companies, demonstrating practical application skills and initiative during interviews.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Engage in inter-college or national-level coding competitions and hackathons. This sharpens problem-solving skills under pressure, exposes you to new technologies, and expands your professional network.
Tools & Resources
ACM ICPC, Smart India Hackathon (SIH), Major League Hacking (MLH) events
Career Connection
Success in such competitions is highly regarded by tech companies in India, often leading to direct interview opportunities or fast-tracked hiring processes.
Seek Early Internship Opportunities- (Semester 3-5)
Look for summer internships or part-time roles in your area of interest (e.g., web development, data analysis). Even short-term experiences provide invaluable industry exposure and practical skills.
Tools & Resources
Internshala, LinkedIn Jobs, College placement cell
Career Connection
Internships are crucial for gaining practical experience, building a professional network, and often convert into full-time job offers in the competitive Indian job market.
Advanced Stage
Specialize in an Emerging Technology- (Semester 6)
Choose a specialization (e.g., AI/ML, Cloud Computing, Cybersecurity) and pursue advanced courses, online certifications, and capstone projects in that domain. This builds deep expertise.
Tools & Resources
Coursera/edX for specialized courses, AWS/Azure/GCP certifications, Kaggle for ML datasets
Career Connection
Specialized skills are highly sought after by Indian product companies and startups, commanding higher salaries and offering clearer career growth trajectories.
Intensive Placement Preparation- (Semester 6)
Focus on rigorous preparation for technical interviews, aptitude tests, and group discussions. Practice mock interviews and brush up on core CS subjects, data structures, and algorithms.
Tools & Resources
Glassdoor, GeeksforGeeks Interview Corner, InterviewBit, College placement training programs
Career Connection
Effective placement preparation is paramount for securing jobs in top-tier companies in India, ensuring you convert opportunities into successful placements.
Network and Build Professional Connections- (Semester 6)
Attend industry seminars, workshops, and career fairs both online and offline. Connect with professionals, alumni, and recruiters on platforms to gain insights and uncover hidden job opportunities.
Tools & Resources
LinkedIn, Industry conferences (e.g., Nasscom, TechSparks), Alumni events
Career Connection
Networking is vital for career advancement in India, opening doors to referrals, mentorship, and opportunities that might not be publicly advertised.
Program Structure and Curriculum
Eligibility:
- 10+2 (Intermediate) with Physics, Chemistry & Math or Physics, Math & Computer Science/Information Technology/Informatics Practices with minimum 50% marks in aggregate.
Duration: 3 years (6 semesters)
Credits: 156 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC1001 | Programming in C | Core | 4 | Introduction to C Programming, Control Structures and Loops, Arrays and Strings, Functions and Pointers, Structures, Unions, and Files |
| BSCC1002 | Digital Electronics | Core | 4 | Number Systems and Codes, Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memories and Programmable Logic |
| BSCG1001 | Professional Communication | General Elective | 3 | Basics of Communication, Written Communication Skills, Oral Communication Skills, Non-Verbal Communication, Professional Etiquette |
| BSCC1003 | Mathematical Foundation of Computer Science | Core | 4 | Set Theory and Logic, Relations and Functions, Combinatorics and Probability, Graph Theory, Boolean Algebra |
| BSCC1004 | Programming in C Lab | Lab | 1 | Hands-on C Programming, Implementing Control Structures, Working with Arrays and Pointers, Function Implementation, File Handling |
| BSCC1005 | Digital Electronics Lab | Lab | 1 | Logic Gates Implementation, Combinational Circuit Design, Flip-Flops and Counters, Shift Registers, Verilog HDL Basics |
| BSCG1002 | Professional Communication Lab | Lab | 1 | Group Discussions, Presentations, Interview Skills, Resume Writing, Public Speaking |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC2001 | Data Structures | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Graph Traversal, Searching and Sorting Algorithms |
| BSCC2002 | Computer Organization & Architecture | Core | 4 | Computer System Overview, Processor Organization, Memory System Hierarchy, Input/Output Organization, Control Unit Design |
| BSCC2003 | Discrete Mathematics | Core | 4 | Logic and Proofs, Set Theory and Functions, Number Theory, Combinatorics and Probability, Graph Theory and Trees |
| BSCG2001 | Environmental Science | General Elective | 3 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Environmental Ethics, Sustainable Development |
| BSCC2004 | Database Management System | Core | 4 | Introduction to DBMS, ER Model and Relational Model, SQL and Relational Algebra, Normalization, Transaction Management and Concurrency Control |
| BSCC2005 | Data Structures Lab | Lab | 1 | Implementation of Stacks and Queues, Linked List Operations, Tree and Graph Traversals, Sorting and Searching Algorithms, Application Development |
| BSCC2006 | DBMS Lab | Lab | 1 | SQL Commands and Queries, Database Schema Design, Stored Procedures and Functions, Trigger Implementation, Report Generation |
| BSCE2001 | Open Elective I | Open Elective | 2 | Introduction to a Non-CS Discipline, Basic Concepts, Applications, Societal Impact, Current Trends |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC3001 | Object Oriented Programming using Java | Core | 4 | OOP Concepts (Encapsulation, Inheritance, Polymorphism), Java Basics and Classes, Interfaces and Packages, Exception Handling and Multithreading, GUI Programming (AWT/Swing) |
| BSCC3002 | Operating System | Core | 4 | OS Concepts and Services, Process Management, CPU Scheduling, Memory Management, File Systems and I/O Systems |
| BSCC3003 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer and Routing, Transport Layer, Application Layer Protocols |
| BSCC3004 | Software Engineering | Core | 4 | Software Development Life Cycle, Software Requirements Analysis, Software Design Principles, Software Testing and Maintenance, Software Project Management |
| BSCC3005 | Object Oriented Programming Lab | Lab | 1 | Java Program Development, Implementing OOP Principles, Exception Handling, Multithreaded Applications, GUI Applications |
| BSCC3006 | Operating System Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Management, CPU Scheduling Algorithms, Deadlock Detection and Prevention, Memory Allocation |
| BSCE3001 | Generic Elective I (e.g., Python Programming) | Generic Elective | 2 | Python Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Python, File Handling and Exception Handling |
| BSCP3001 | Minor Project I | Project | 2 | Problem Identification, Requirement Analysis, Design and Implementation, Testing and Documentation, Project Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC4001 | Analysis & Design of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| BSCC4002 | Artificial Intelligence | Core | 4 | Introduction to AI, Problem Solving Agents, Knowledge Representation, Machine Learning Basics, Natural Language Processing Fundamentals |
| BSCC4003 | Web Technology | Core | 4 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting (e.g., PHP/Node.js), Database Connectivity, Web Security Basics |
| BSCC4004 | Cyber Security | Core | 4 | Introduction to Cyber Security, Network Security, Cryptography, Cyber Attacks and Defense, Security Policies and Laws |
| BSCC4005 | A&D of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Solutions, Greedy Algorithm Problems, Analysis of Algorithm Complexity |
| BSCC4006 | Web Technology Lab | Lab | 1 | HTML/CSS Page Design, JavaScript for Interactivity, Server-Side Scripting Integration, Database Integration for Web, Developing Dynamic Web Applications |
| BSCE4001 | Generic Elective II (e.g., Mobile Application Development) | Generic Elective | 2 | Mobile OS Fundamentals, UI/UX Design for Mobile, Android/iOS App Development Basics, Data Storage in Mobile Apps, Testing and Debugging Mobile Apps |
| BSCE4002 | Open Elective II | Open Elective | 2 | Interdisciplinary Concepts, Application-oriented Learning, Problem-solving approaches, Latest Technological Trends, Societal Relevance |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC5001 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Neural Networks Basics |
| BSCC5002 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| BSCC5003 | Data Mining & Data Warehousing | Core | 4 | Introduction to Data Warehousing, OLAP and ETL Processes, Data Mining Concepts, Classification and Prediction, Clustering and Association Rules |
| BSCP5001 | Professional Elective I (e.g., Cloud Computing) | Professional Elective | 3 | Cloud Computing Basics, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization, Cloud Security |
| BSCC5004 | Machine Learning Lab | Lab | 1 | Data Preprocessing using Python, Implementing Regression Models, Classification Algorithms, Clustering Techniques, Model Evaluation Metrics |
| BSCP5002 | Professional Elective I Lab | Lab | 1 | Cloud Platform Setup (e.g., AWS/Azure), Virtual Machine Deployment, Cloud Storage Services, Serverless Computing, Containerization (Docker) |
| BSCP5003 | Major Project / Industry Internship | Project/Internship | 6 | Project Planning and Management, System Design and Implementation, Testing and Debugging, Report Writing and Presentation, Industry Best Practices |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSCC6001 | Deep Learning | Core | 4 | Introduction to Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Learning Frameworks (TensorFlow/PyTorch) |
| BSCC6002 | Internet of Things | Core | 4 | IoT Architecture and Protocols, Sensors and Actuators, IoT Communication Technologies, IoT Security and Privacy, IoT Applications and Case Studies |
| BSCP6001 | Professional Elective II (e.g., Big Data Analytics) | Professional Elective | 3 | Introduction to Big Data, Hadoop Ecosystem, NoSQL Databases, Data Stream Processing, Big Data Visualization |
| BSCP6002 | Professional Elective II Lab | Lab | 1 | Hadoop HDFS Operations, MapReduce Programming, Spark for Data Processing, NoSQL Database Operations, Big Data Tools and Technologies |
| BSCP6003 | Major Project II / Dissertation | Project | 6 | Advanced Research Methodology, Complex System Development, Performance Evaluation, Technical Report Writing, Capstone Project Presentation |
| BSCP6004 | Industrial Training / Internship / Entrepreneurship Project | Internship/Project | 3 | Real-world Industry Experience, Application of Academic Knowledge, Professional Skill Development, Problem Solving in Industry Setting, Networking and Career Planning |
