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BCA-DATA-SCIENCE in Data Science at Shonebhadra Adarsh Degree College
Garhwa, Jharkhand
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About the Specialization
What is Data Science at Shonebhadra Adarsh Degree College Garhwa?
This BCA program at Shonebhadra Adarsh Degree College, affiliated with Nilamber Pitamber University, offers a pathway to specialize in Data Science. It focuses on equipping students with foundational computing knowledge alongside crucial skills in data analysis, machine learning, and big data technologies relevant to the evolving Indian industry landscape. The program''''s integrated approach aims to meet the high demand for data professionals.
Who Should Apply?
This program is ideal for 10+2 graduates with a keen interest in mathematics, statistics, and computer programming, aspiring to build a career in data-driven fields. It also suits individuals seeking to transition into the analytics and AI domain, providing a strong academic foundation to pursue advanced studies or entry-level roles in data science within India.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths as Data Analysts, Junior Data Scientists, Business Intelligence Developers, or Machine Learning Engineers in various Indian sectors. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential up to INR 10-15+ LPA for experienced professionals, driven by the strong demand in IT, finance, and e-commerce.
Student Success Practices
Foundation Stage
Master Programming & Logic- (Semester 1-2)
Dedicate significant time to understanding programming fundamentals (C, Python) and discrete mathematics. Consistent practice with coding problems helps solidify logical thinking and problem-solving skills, crucial for data science.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, NPTEL online courses for programming basics
Career Connection
Strong programming and logical aptitude are non-negotiable for data science roles, impacting interview performance and ability to grasp complex algorithms.
Build a Foundational Project Portfolio- (Semester 1-2)
Start building small projects that apply learned concepts. Even simple projects like a calculator in C or a basic data analysis script in Python help in understanding application and demonstrate practical skills early on.
Tools & Resources
GitHub for version control, VS Code, Python IDEs
Career Connection
A robust project portfolio showcases practical abilities to recruiters, setting you apart from peers during internship and entry-level job applications.
Engage in Peer Learning & Study Groups- (Semester 1-2)
Form study groups with classmates to discuss concepts, solve problems together, and explain topics to each other. This collaborative approach enhances understanding and exposes you to different problem-solving perspectives.
Tools & Resources
College library, Online collaborative whiteboards, Discord/WhatsApp groups for discussion
Career Connection
Develops teamwork and communication skills, highly valued in corporate environments, and helps in clarifying doubts effectively, leading to better academic performance.
Intermediate Stage
Dive Deep into Data Science Electives- (Semester 3-5)
Actively choose and excel in Data Science-focused Skill Enhancement Courses (SECs) and Discipline Specific Electives (DSEs) like ''''Data Science using Python'''' and ''''Machine Learning Fundamentals''''. Go beyond syllabus to explore related concepts.
Tools & Resources
Kaggle for datasets and competitions, Coursera/edX for specialized courses (e.g., IBM Data Science Professional Certificate), TensorFlow, PyTorch tutorials
Career Connection
These specialized courses directly contribute to your data science skill set, making you eligible for niche roles and demonstrating a clear career trajectory.
Seek Industry Internships & Workshops- (Semester 4-6)
Actively pursue internships, even short-term ones, in data analytics or software development firms. Attend industry workshops, webinars, and hackathons to gain practical exposure and network with professionals.
Tools & Resources
Internshala, LinkedIn, College placement cell
Career Connection
Internships provide real-world experience, often leading to pre-placement offers, and build a professional network vital for future career growth in the Indian market.
Develop Advanced Data Analytics Projects- (Semester 4-6)
Undertake projects using real-world datasets, focusing on end-to-end data analysis from collection and cleaning to model building and visualization. Aim for complexity and originality in your projects.
Tools & Resources
Jupyter Notebooks, Google Colab, Power BI/Tableau for visualization, AWS/Azure free tier for cloud exposure
Career Connection
Advanced projects are crucial for showcasing your ability to apply theoretical knowledge to solve practical problems, a key requirement for Data Scientist and ML Engineer roles.
Advanced Stage
Master Advanced Data Science & AI Tools- (Semester 6-8)
Focus on gaining proficiency in advanced topics like Deep Learning, Big Data Analytics, and Data Visualization, utilizing industry-standard tools and frameworks. Practice deploying models and understanding MLOps basics.
Tools & Resources
Apache Hadoop/Spark, Docker/Kubernetes for deployment, GitLab/Bitbucket for collaborative coding, Advanced Python libraries (scikit-learn, Keras, Pandas)
Career Connection
Mastery of these advanced tools and concepts makes you highly competitive for roles in AI, Big Data, and advanced analytics, commanding higher salaries in the Indian tech industry.
Prepare for Placements & Professional Certifications- (Semester 7-8)
Start rigorous preparation for campus placements, focusing on aptitude, coding, and technical interviews. Consider pursuing professional certifications in cloud platforms (AWS, Azure) or specialized data science areas (e.g., Google''''s Professional Data Engineer).
Tools & Resources
LeetCode, InterviewBit, Glassdoor for company-specific interview prep, Official certification guides
Career Connection
Targeted preparation significantly increases placement success rates. Certifications validate your skills and boost your profile for top-tier companies in India and abroad.
Undertake a Capstone Research/Industry Project- (Semester 7-8)
Engage in a substantial final year project or research work that addresses a real-world problem, ideally in collaboration with an industry partner. This should demonstrate comprehensive application of all learned skills.
Tools & Resources
Industry mentors, Academic advisors, Access to company data (under NDA), Research papers and journals
Career Connection
A strong capstone project or industry-sponsored research demonstrates initiative, problem-solving skills, and industry readiness, often serving as a direct entry point into companies or research roles.
Program Structure and Curriculum
Eligibility:
- 10+2 (Intermediate) or equivalent with Mathematics/Computer Science/IT/Statistics/Electronics/Physics/Chemistry/Bio-informatics/Business Mathematics as one of the subjects, with a minimum of 45% marks (40% for SC/ST/OBC).
Duration: 4 years / 8 semesters
Credits: 160 (minimum for major/minor courses, additional credits for vocational/ability/value-added/skill/multidisciplinary courses up to 176-192) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-101 | Fundamentals of Computers & Programming | Core (Major Course) | 4 | Introduction to Computers, Number Systems, Boolean Algebra and Logic Gates, Computer Organization and Architecture, Problem Solving Techniques, Algorithms & Flowcharts |
| BCA-MiC-102 | Python Programming | Core (Minor Course) | 4 | Python Basics and Data Types, Operators and Expressions, Control Flow Statements, Functions and Modules, Introduction to OOP in Python |
| BCA-VC-103 | Digital Fluency | Vocational Course | 2 | Digital Devices and Tools, Internet and Web Browsing, Cyber Hygiene and Online Safety, Digital Collaboration Tools, Introduction to Digital Payments |
| BCA-AEC-104 | Environmental Studies | Ability Enhancement Course | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Environmental Ethics, Climate Change |
| BCA-VAC-105 | Indian Constitution | Value Added Course | 2 | Preamble and Basic Features, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Legislature, Judiciary and Local Self-Government |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-201 | Programming in C | Core (Major Course) | 4 | C Language Fundamentals, Operators and Expressions, Control Structures, Arrays and Strings, Functions, Pointers, Structures, and Unions |
| BCA-MiC-202 | Discrete Mathematics | Core (Minor Course) | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics and Recurrence Relations |
| BCA-VC-203 | Office Automation Tools | Vocational Course | 2 | Word Processing (MS Word/LibreOffice Writer), Spreadsheet Management (MS Excel/LibreOffice Calc), Presentation Software (MS PowerPoint/LibreOffice Impress), Basic Database Concepts (MS Access), Data Management and Analysis |
| BCA-AEC-204 | English Communication | Ability Enhancement Course | 2 | Grammar and Vocabulary, Written Communication (reports, emails), Oral Communication (presentations, interviews), Listening and Reading Skills, Non-verbal Communication |
| BCA-VAC-205 | Yoga/Sports/NSS | Value Added Course | 2 | Introduction to Yoga and its Philosophy, Basic Asanas and Pranayama, Meditation and Relaxation Techniques, Benefits of Physical Activity, Community Service Principles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-301 | Data Structures | Core (Major Course) | 4 | Arrays, Linked Lists, Stacks and Queues, Trees (Binary, AVL, B-trees), Graphs (Traversal, Shortest Path), Sorting and Searching Algorithms |
| BCA-MiC-302 | Database Management System | Core (Minor Course) | 4 | Database Concepts and Architecture, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transaction Management |
| BCA-VC-303 | Cyber Security Fundamentals | Vocational Course | 2 | Introduction to Cyber Security, Cybercrime and Attacks, Network Security Concepts, Cryptography Basics, Cyber Laws and Ethics |
| BCA-SEC-304 | Data Science using Python | Skill Enhancement Course (Specialization Focus) | 2 | Introduction to Data Science, Python for Data Analysis (NumPy, Pandas), Data Preprocessing and Cleaning, Data Visualization (Matplotlib, Seaborn), Basic Statistical Concepts for Data Science |
| BCA-MDC-305 | Multidisciplinary Course (Generic) | Elective (Multidisciplinary) | 3 | Subject selected from another discipline (e.g., Economics, Psychology, Commerce), Basic concepts of the chosen discipline, Interdisciplinary applications, Analytical thinking, Problem-solving |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-401 | Object-Oriented Programming with Java | Core (Major Course) | 4 | OOP Concepts (Encapsulation, Inheritance, Polymorphism), Java Fundamentals and Classes/Objects, Packages and Interfaces, Exception Handling and Multithreading, Applets and GUI Programming (AWT/Swing Basics) |
| BCA-MiC-402 | Computer Networks | Core (Minor Course) | 4 | Network Topologies and Classification, OSI and TCP/IP Reference Models, Network Devices (Routers, Switches, Hubs), Protocols (HTTP, FTP, TCP, UDP, IP), Network Security Basics |
| BCA-VC-403 | Web Development Frameworks | Vocational Course | 2 | Introduction to Web Frameworks (e.g., Django, Flask), MVC Architecture, Routing and Views, Template Engines, Database Integration and ORM |
| BCA-SEC-404 | Machine Learning Fundamentals | Skill Enhancement Course (Specialization Focus) | 2 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation Metrics, Introduction to Scikit-learn |
| BCA-MDC-405 | Multidisciplinary Course (Generic) | Elective (Multidisciplinary) | 3 | Subject selected from another discipline (e.g., Business Management, Sociology), Foundational theories and concepts, Practical applications in the chosen field, Critical thinking and analysis, Case studies and examples |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-501 | Operating Systems | Core (Major Course) | 4 | Operating System Concepts and Structure, Process Management and CPU Scheduling, Memory Management (Paging, Segmentation), File Systems and I/O Management, Deadlocks and Concurrency Control |
| BCA-MC-502 | Computer Graphics & Multimedia | Core (Major Course) | 4 | Introduction to Computer Graphics, 2D and 3D Transformations, Clipping and Viewing, Shading and Illumination Models, Multimedia Components and Compression Techniques |
| BCA-DSE-503 | Data Warehousing & Data Mining | Elective (Discipline Specific - Data Science Focus) | 4 | Data Warehousing Concepts and Architecture, OLAP Operations, Data Preprocessing and Cleaning, Association Rule Mining, Classification and Clustering Techniques |
| BCA-GE-504 | Cloud Computing | Elective (Generic) | 4 | Introduction to Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security and Data Privacy |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-601 | Software Engineering | Core (Major Course) | 4 | Software Development Life Cycle (SDLC), Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| BCA-MC-602 | Artificial Intelligence | Core (Major Course) | 4 | Introduction to AI and Intelligent Agents, Problem Solving (Search Algorithms), Knowledge Representation and Reasoning, Introduction to Machine Learning, Expert Systems and Robotics |
| BCA-DSE-603 | Big Data Analytics | Elective (Discipline Specific - Data Science Focus) | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and its Components, NoSQL Databases (MongoDB, Cassandra), Big Data Tools and Technologies |
| BCA-GE-604 | Internet of Things (IoT) | Elective (Generic) | 4 | Introduction to IoT Architecture, Sensors, Actuators, and Microcontrollers, IoT Communication Protocols (MQTT, CoAP), IoT Platforms and Data Analytics, IoT Security and Applications |
| BCA-PRJ-605 | Major Project - I | Project | 6 | Project Proposal and Design, System Analysis and Requirement Gathering, Implementation and Testing, Documentation and Presentation, Focus on Data Science application |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-701 | Network Security | Core (Major Course) | 4 | Cryptography and Ciphers, Network Attacks and Vulnerabilities, Firewalls and Intrusion Detection Systems, VPN and Wireless Security, Digital Signatures and Certificates |
| BCA-MC-702 | Web Technologies | Core (Major Course) | 4 | HTML5 and CSS3, JavaScript and DOM Manipulation, AJAX and JSON, Server-side Scripting (PHP/Node.js basics), Web Services and APIs |
| BCA-DSE-703 | Deep Learning | Elective (Discipline Specific - Data Science Focus) | 4 | Introduction to Neural Networks, Perceptrons and Multi-layer Perceptrons, Backpropagation Algorithm, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and LSTMs |
| BCA-RP-704 | Research Project/Internship - I | Project/Internship | 8 | Advanced Research Methodology, In-depth Problem Identification, Industry-specific Tools and Technologies, Data Analysis and Model Building, Technical Report Writing and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-MC-801 | Distributed Systems | Core (Major Course) | 4 | Introduction to Distributed Systems, Communication and Synchronization, Distributed File Systems, Consistency and Replication, Fault Tolerance and Security |
| BCA-DSE-802 | Data Visualization | Elective (Discipline Specific - Data Science Focus) | 4 | Principles of Data Visualization, Types of Charts and Graphs, Interactive Dashboards, Data Storytelling, Tools: Tableau, Power BI, D3.js |
| BCA-RP-803 | Research Project/Internship - II | Project/Internship | 8 | Advanced Project Implementation, Experimentation and Evaluation, Real-world Application Development, Deployment and Maintenance Strategies, Comprehensive Viva-Voce |
| BCA-VIVA-804 | Comprehensive Viva-Voce | Evaluation | 2 | Overall understanding of the BCA curriculum, Knowledge of specialized subjects (Data Science), Problem-solving and analytical skills, Communication and presentation abilities, Readiness for professional roles |
