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B-SC-I-S-CS in Computer Science at Florence Degree College
Bengaluru, Karnataka
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About the Specialization
What is Computer Science at Florence Degree College Bengaluru?
This B.Sc (I.S.Cs) Computer Science program at Florence Degree College, affiliated with Bengaluru City University, focuses on providing a strong foundation in computational principles, programming, and software development. Tailored to meet the evolving demands of the Indian IT sector, the curriculum emphasizes both theoretical knowledge and practical skills crucial for various tech roles. The program integrates modern tools and methodologies, preparing students for dynamic careers in technology within an India-specific context.
Who Should Apply?
This program is ideal for fresh graduates from a science background (PUC/10+2 with Physics, Mathematics, Computer Science, etc.) who possess a keen interest in logical problem-solving and technology. It caters to aspiring software developers, data analysts, and IT professionals seeking foundational knowledge. Individuals looking to establish a robust career in the rapidly expanding Indian IT and tech industries will find this program beneficial for entry-level and growth opportunities.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Junior Software Developers, System Administrators, Web Developers, and IT Support Specialists. Entry-level salaries typically range from INR 2.5 LPA to 5 LPA in Bengaluru and other Indian tech hubs, with significant growth potential up to INR 8-15 LPA for experienced professionals. The curriculum often aligns with basic industry certifications in programming languages, database management, and cloud basics, boosting employability in the Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Online Practice- (Semester 1-2)
Consistently practice core programming concepts learned in C and Java. Dedicate daily time to solving problems to solidify logic, syntax, and basic data structures like arrays and linked lists. This builds a strong base for advanced topics.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, TutorialsPoint
Career Connection
Strong programming fundamentals are the bedrock for any software development role and are heavily tested in technical interviews for placements across Indian IT companies.
Develop Structured Study Habits & Peer Learning- (Semester 1-2)
Form study groups with peers to discuss complex topics, share insights, and prepare for exams effectively. Break down large topics into smaller, manageable chunks and review regularly. Actively participate in class discussions to deepen understanding.
Tools & Resources
Google Meet for virtual study groups, shared notes on Google Docs, college library resources
Career Connection
Enhances collaborative skills, critical thinking, and communication – all essential for effective teamwork and project execution in the Indian IT industry.
Build a Basic Project Portfolio- (Semester 1-2)
Even in the foundational stages, start building small, practical projects using C or Java. This could be a simple calculator, a console-based game, or a basic student management system to apply theoretical knowledge practically.
Tools & Resources
VS Code, Eclipse/IntelliJ IDEA, GitHub for version control
Career Connection
Demonstrates practical application of learned concepts, makes your resume stand out to recruiters during campus placements, and kickstarts your professional portfolio for future roles.
Intermediate Stage
Engage in Mini-Projects & Hackathons- (Semester 3-5)
Apply your knowledge of data structures, databases, and object-oriented programming to build more complex mini-projects. Participate in college-level or regional hackathons (e.g., those hosted in Bengaluru tech parks) to gain exposure to real-world problem-solving under time constraints.
Tools & Resources
GitHub, relevant IDEs (e.g., MySQL Workbench, Android Studio), online hackathon platforms like DevPost
Career Connection
Develops problem-solving skills, encourages innovation, and provides tangible experience for internship applications, highly valued by Indian tech employers.
Explore Industry-Relevant Technologies & Certifications- (Semester 3-5)
Beyond the curriculum, start exploring trending technologies like front-end frameworks (React, Angular), cloud basics (AWS, Azure), or data science libraries (Pandas, NumPy). Consider introductory certifications to enhance your profile.
Tools & Resources
Coursera, Udemy, NPTEL for online courses, documentation from AWS/Azure
Career Connection
Enhances your skill set to meet industry demands in India, making you more competitive for internships and specialized roles in growing tech domains.
Network and Attend Workshops/Seminars- (Semester 3-5)
Actively participate in college-organized workshops, seminars, and guest lectures by industry experts. Connect with alumni and professionals on platforms like LinkedIn. Utilize Bengaluru''''s vibrant tech ecosystem for networking events.
Tools & Resources
LinkedIn, college career services, local tech meetups in Bengaluru
Career Connection
Builds professional connections, provides insights into industry trends, and can open doors for mentorship, internship leads, and job opportunities within the Indian tech landscape.
Advanced Stage
Undertake a Comprehensive Capstone Project- (Semester 6)
Work on a significant project that integrates multiple concepts learned throughout the program (e.g., a full-stack web application, mobile app, or a data analytics project). Focus on a complete development lifecycle, from ideation to deployment.
Tools & Resources
Integrated Development Environments, relevant programming languages/frameworks, project management tools like Jira/Trello, GitHub
Career Connection
The capstone project serves as a strong portfolio piece, demonstrating expertise and readiness for full-time roles, often forming a key discussion point in technical interviews for Indian IT companies.
Intensive Placement Preparation & Mock Interviews- (Semester 6)
Dedicate time to prepare for company-specific aptitude tests, technical interviews (covering data structures, algorithms, core CS concepts), and HR rounds. Participate in mock interview sessions organized by the college career cell or peers.
Tools & Resources
College Placement Cell, online platforms like InterviewBit/GeeksforGeeks, Glassdoor for company-specific interview questions
Career Connection
Directly prepares students for the recruitment process, significantly increasing their chances of securing desirable placements in various IT service and product companies in India.
Explore Advanced Specializations & Career Planning- (Semester 6 onwards)
Refine your career goals and consider deeper dives into specific advanced specializations (e.g., AI/ML engineering, Cybersecurity, DevOps, Cloud Architecture) through certifications or advanced personal projects. For those considering a 4th year (Hons with Research), plan your research thesis.
Tools & Resources
Specialized online learning platforms (Coursera, edX), industry whitepapers, career counselors, research faculty
Career Connection
This strategic approach enables graduates to target highly specialized roles, enhances long-term career prospects, and aligns with the evolving demands of the Indian tech industry for niche skills.
Program Structure and Curriculum
Eligibility:
- Passed Two years Pre-University Examination (PUC) with Science subjects conducted by the Karnataka Pre-University Education Board or any other examination considered as equivalent thereto by the Bengaluru City University.
Duration: 3 years (6 semesters) for Basic/Honours Degree
Credits: Approximately 140 credits (as per BCU NEP for 3-year B.Sc. degree, including major, minor, electives, and foundational courses) Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C1 | Fundamentals of Computers and Problem Solving | Core | 4 | Introduction to Computers, Computer Organization, Problem Solving Techniques, Algorithms and Flowcharts, Programming Concepts |
| CS-C2 | Programming in C | Core | 4 | Introduction to C Language, Operators and Expressions, Control Structures, Functions and Pointers, Arrays and Strings |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C3 | Data Structures and Algorithms | Core | 4 | Introduction to Data Structures, Linear Data Structures (Arrays, Linked Lists, Stacks, Queues), Non-linear Data Structures (Trees, Graphs), Searching and Sorting Algorithms, Algorithm Analysis |
| CS-C4 | Object Oriented Programming with Java | Core | 4 | OOP Concepts (Classes, Objects, Inheritance, Polymorphism), Java Fundamentals, Packages and Interfaces, Exception Handling, Multithreading |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C5 | Database Management Systems | Core | 4 | Database Concepts, Relational Model, SQL (DDL, DML, DCL), Normalization, Transaction Management |
| CS-C6 | Operating Systems | Core | 4 | OS Overview, Process Management, Memory Management, File Systems, I/O Systems |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C7 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer, Transport Layer, Application Layer |
| CS-C8 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design, Software Testing, Project Management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C9 | Web Technologies | Core | 4 | HTML, CSS, JavaScript, XML, AJAX, Server-Side Scripting Concepts, Web Services, Web Security Fundamentals |
| CS-C10 | Python Programming | Core | 4 | Python Fundamentals, Data Structures in Python, Functions and Modules, File Handling, Object-Oriented Python |
| CS-DSE1-A | Artificial Intelligence | Elective (Discipline Specific Elective) | 4 | Introduction to AI, Problem Solving by Searching, Knowledge Representation, Machine Learning Fundamentals, Neural Networks Basics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-C11 | Mobile Application Development | Core | 4 | Mobile OS Architectures (Android/iOS), UI Design Principles, Activity Lifecycle, Data Storage, Network Connectivity |
| CS-C12 | Data Analytics | Core | 4 | Introduction to Data Analytics, Data Preprocessing, Statistical Methods, Data Visualization, Big Data Concepts |
| CS-DSE2-A | Cloud Computing | Elective (Discipline Specific Elective) | 4 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security |
| CS-PROJ | Project Work / Dissertation | Project | 4 | Problem Identification, Literature Review, System Design and Implementation, Testing and Evaluation, Report Writing and Presentation |
