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BCA in Data Science at Shri Vishwakarma Skill University
Palwal, Haryana
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About the Specialization
What is Data Science at Shri Vishwakarma Skill University Palwal?
This Data Science program at Shri Vishwakarma Skill University focuses on equipping students with essential skills for the rapidly evolving data-driven industry. Rooted in practical applications, it covers statistical analysis, machine learning, big data technologies, and data visualization, addressing India''''s growing need for skilled data professionals. The program emphasizes hands-on experience, preparing graduates for diverse roles in sectors like e-commerce, finance, and healthcare.
Who Should Apply?
This program is ideal for fresh graduates with a 10+2 background including Mathematics or Computer Science, seeking entry into the lucrative field of data science. It also caters to individuals passionate about problem-solving through data and those looking to build a strong foundation in analytics and AI. Aspiring data analysts, data scientists, and machine learning engineers who wish to contribute to India''''s digital transformation will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Junior Data Scientist, Data Analyst, Business Intelligence Developer, or Machine Learning Engineer in India. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more. The curriculum aligns with industry certifications, fostering continuous growth and enabling graduates to pursue advanced studies or specialized roles in cutting-edge domains.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Develop a strong base in C and Python, focusing on data structures and algorithms. Regularly solve coding challenges to build logic and problem-solving skills, which are crucial for subsequent advanced topics in data science.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python documentation, C programming books
Career Connection
Essential for passing technical interviews and implementing efficient data science solutions and handling data manipulation tasks.
Build Database Proficiency- (Semester 1-2)
Gain hands-on expertise in SQL and database management systems. Practice designing and querying databases effectively to retrieve, store, and manage data, which is foundational for data analysis.
Tools & Resources
MySQL Workbench, PostgreSQL, W3Schools SQL tutorials, Official DBMS documentation
Career Connection
Crucial for data extraction, manipulation, and storage, a core skill for any data role, enabling efficient data pipeline creation.
Engage in Peer Learning & Soft Skills- (Semester 1-2)
Form study groups, discuss complex topics, and actively participate in professional communication labs. Practice presentations, group discussions, and resume writing to enhance overall professional readiness.
Tools & Resources
University communication workshops, LinkedIn Learning courses on soft skills, Toastmasters clubs
Career Connection
Enhances teamwork, communication, and interpersonal skills vital for corporate environments, client interactions, and leadership roles.
Intermediate Stage
Hands-on with Data Science Tools- (Semester 3-4)
Deepen practical skills in Python for data analysis using libraries like Pandas, NumPy, and Matplotlib. Begin exploring basic machine learning algorithms with Scikit-learn to build foundational models.
Tools & Resources
Jupyter Notebook, Google Colab, Kaggle datasets, Coursera/edX courses on Python for Data Science
Career Connection
Direct application of theoretical knowledge to solve real-world data problems, forming essential portfolio projects for job applications.
Explore Big Data Ecosystems- (Semester 3-4)
Understand and practice with fundamental Big Data technologies such as Hadoop and Spark. Learn to process and manage large datasets efficiently, preparing for scalable data operations.
Tools & Resources
Apache Hadoop tutorials, Spark documentation, Cloudera/Hortonworks sandbox environments, Online Big Data courses
Career Connection
Prepares for roles involving large-scale data processing and distributed computing, highly sought after in India''''s rapidly expanding data sector.
Participate in Mini Projects & Hackathons- (Semester 3-4)
Apply learned concepts by working on mini-projects, individually or in teams. Join university-level or national hackathons to gain practical experience and showcase problem-solving abilities.
Tools & Resources
GitHub for version control, Online project idea platforms, University project mentors, Devpost.com
Career Connection
Develops problem-solving, project management, and collaboration skills, providing tangible, resume-boosting experience and networking opportunities.
Advanced Stage
Specialize and Build Portfolio- (Semester 5-6)
Choose electives strategically based on career interests (e.g., NLP, Deep Learning, Business Analytics). Develop a strong portfolio of advanced projects showcasing specialized skills and expertise.
Tools & Resources
GitHub, Personal website or blog, Medium for technical blogging, Advanced libraries like TensorFlow/PyTorch
Career Connection
Demonstrates expertise in a niche area, making candidates highly attractive to specific industry roles and advanced research positions.
Engage in Industrial Project & Internships- (Semester 5-6)
Seek out and actively participate in industrial internships or the capstone industrial project. Focus on solving a real-world problem with measurable impact, applying all acquired knowledge.
Tools & Resources
University placement cell, LinkedIn, Company career pages, Industry mentors and networking events
Career Connection
Gathers professional experience, builds industry network, and often leads to pre-placement offers, accelerating career entry.
Focus on Ethical AI and Interview Preparation- (Semester 6)
Understand the ethical implications of data science and AI. Dedicate significant time to intensive interview preparation, including mock interviews, coding challenges, and aptitude tests.
Tools & Resources
Books on AI ethics, Online interview platforms (e.g., InterviewBit, LeetCode), Company-specific interview guides
Career Connection
Ensures readiness for ethical challenges in the workplace and maximizes chances of securing top placements in leading companies and startups.
Program Structure and Curriculum
Eligibility:
- 10+2 / Senior Secondary Examination (CBSE/Haryana Board or equivalent) with at least 50% marks (45% for SC/ST/PWD/OBC (Non-Creamy Layer) candidates of Haryana only) with Mathematics/Computer Science/IT/Informatics Practices/Computer Applications as one of the subjects.
Duration: 3 years (6 semesters)
Credits: 128 Credits
Assessment: Internal: 40% (for theory), 60% (for practicals), External: 60% (for theory), 40% (for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS101 | Programming in C | Core | 4 | Introduction to C Programming, Operators and Expressions, Control Structures (Conditional and Loop), Functions and Pointers, Arrays, Strings and File Handling |
| BCA-DS103 | Data Communication and Computer Networks | Core | 4 | Network Fundamentals and Topologies, OSI and TCP/IP Model, Data Transmission Media and Error Control, Network Devices and Protocols, Introduction to Internetworking |
| BCA-DS105 | Computer Fundamentals & Office Tools | Core | 4 | Basic Computer Organization, Input/Output Devices and Memory, Operating System Concepts, Word Processing (MS Word), Spreadsheet Management (MS Excel), Presentation Tools (MS PowerPoint) |
| BCA-DS107 | Professional Communication & Soft Skills | Core | 2 | Fundamentals of Communication, Oral Communication Skills, Written Communication Skills, Non-verbal Communication, Interview and Presentation Skills |
| BCA-DS109 | Environmental Studies | Core | 2 | Natural Resources and Ecosystems, Biodiversity and its Conservation, Environmental Pollution and Control, Solid Waste Management, Environmental Ethics and Legislation |
| BCA-DS111 | Programming in C Lab | Lab | 2 | C Program Development and Debugging, Conditional and Loop Statements Implementation, Functions and Pointers Practice, Array and String Manipulation, File Handling Programs |
| BCA-DS113 | Computer Fundamentals & Office Tools Lab | Lab | 2 | Operating System Basic Operations, MS Word Document Creation and Formatting, MS Excel Data Entry and Formulas, MS PowerPoint Presentation Design, Internet Browsing and Email Management |
| BCA-DS115 | Professional Communication & Soft Skills Lab | Lab | 2 | Group Discussion Techniques, Public Speaking Practice, Resume and Cover Letter Writing, Mock Interview Sessions, Role-play for Professional Scenarios |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS102 | Data Structures & Algorithms | Core | 4 | Arrays, Linked Lists (Singly, Doubly, Circular), Stacks and Queues, Trees (Binary, BST, AVL), Graphs (Traversal, Shortest Path), Sorting and Searching Algorithms |
| BCA-DS104 | Database Management System | Core | 4 | DBMS Concepts and Architecture, Relational Model and Algebra, Structured Query Language (SQL), Database Design and Normalization, Transaction Management and Concurrency Control |
| BCA-DS106 | Operating System | Core | 4 | Operating System Services, Process Management and Scheduling, Deadlocks and Synchronization, Memory Management Techniques, File System Management |
| BCA-DS108 | Mathematics (Calculus & Linear Algebra) | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vectors and Vector Spaces, Eigenvalues and Eigenvectors |
| BCA-DS110 | Entrepreneurship Development | Core | 2 | Concept of Entrepreneurship, Entrepreneurial Environment, Business Plan Development, Financing and Marketing, Small Scale Industries in India |
| BCA-DS112 | Data Structures & Algorithms Lab | Lab | 2 | Implementation of Linked Lists, Stack and Queue Operations, Binary Tree Traversals, Graph Representation and Traversals, Sorting and Searching Algorithm Implementation |
| BCA-DS114 | Database Management System Lab | Lab | 2 | DDL and DML Commands, Advanced SQL Queries (Joins, Subqueries), Database Creation and Manipulation, Stored Procedures and Triggers, Report Generation from Databases |
| BCA-DS116 | Operating System Lab | Lab | 2 | Basic Linux Commands, Shell Scripting, Process Management Commands, File System Permissions and Management, Memory Management Simulation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS201 | Object-Oriented Programming using C++ | Core | 4 | Classes, Objects and Constructors, Inheritance and Polymorphism, Operator Overloading, Virtual Functions and Abstract Classes, Exception Handling and File I/O |
| BCA-DS203 | Python Programming | Core | 4 | Python Fundamentals and Data Types, Control Flow and Functions, Modules and Packages, Object-Oriented Programming in Python, File Handling and Exception Handling |
| BCA-DS205 | Data Warehousing & Data Mining | Core | 4 | Data Warehouse Architecture, ETL Process and OLAP, Data Mining Concepts and Applications, Classification and Prediction, Clustering and Association Rules |
| BCA-DS207 | Introduction to Artificial Intelligence & Machine Learning | Core | 4 | Introduction to AI and its Applications, Machine Learning Basics and Types, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Introduction to Neural Networks |
| BCA-DS209 | Design Thinking & Innovation | Core | 2 | Principles of Design Thinking, Empathize and Define Stages, Ideation Techniques, Prototyping and Testing, Innovation Strategies |
| BCA-DS211 | Object-Oriented Programming using C++ Lab | Lab | 2 | Class and Object Implementation, Constructor and Destructor Usage, Inheritance and Polymorphism Programs, Operator Overloading Examples, Exception Handling and File Operations in C++ |
| BCA-DS213 | Python Programming Lab | Lab | 2 | Python Basic Scripting, List, Tuple, Dictionary Operations, Functions and Module Creation, File Input/Output Operations, Basic Data Manipulation with Pandas |
| BCA-DS215 | Data Warehousing & Data Mining Lab | Lab | 2 | Data Preprocessing Techniques, OLAP Cube Operations, Implementation of Classification Algorithms, Implementation of Clustering Algorithms, Association Rule Mining Practice |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS202 | Java Programming | Core | 4 | Java Language Fundamentals, Object-Oriented Concepts in Java, Exception Handling and Multithreading, Abstract Classes and Interfaces, GUI Programming (AWT/Swing) |
| BCA-DS204 | Web Technology | Core | 4 | HTML5 and Semantic HTML, CSS3 for Styling, JavaScript Fundamentals and DOM Manipulation, Introduction to Web Servers, Basics of PHP |
| BCA-DS206 | Big Data Technologies | Core | 4 | Introduction to Big Data, Hadoop Ecosystem and HDFS, MapReduce Framework, Apache Spark for Data Processing, NoSQL Databases (MongoDB, Cassandra) |
| BCA-DS208 | Statistical Methods for Data Science | Core | 4 | Probability Distributions, Hypothesis Testing and Significance, Regression Analysis (Linear, Logistic), ANOVA and Chi-Square Test, Introduction to Time Series Analysis |
| BCA-DS210 | Cyber Security | Core | 2 | Fundamentals of Cyber Security, Network Security Concepts, Cryptography and Encryption, Digital Forensics, Cyber Laws and Ethics in India |
| BCA-DS212 | Java Programming Lab | Lab | 2 | Class and Object Programs in Java, Inheritance and Interface Implementation, Exception Handling and Multithreading Practice, Applet and Basic GUI Programs, JDBC Connectivity |
| BCA-DS214 | Web Technology Lab | Lab | 2 | HTML Forms and Layout Design, CSS Styling and Responsiveness, JavaScript for Client-side Validation, PHP Scripting for Server-side Logic, Database Connectivity with MySQL |
| BCA-DS216 | Big Data Technologies Lab | Lab | 2 | HDFS Command Line Interface, Writing and Executing MapReduce Programs, Apache Spark RDD Operations, Hive Query Language Practice, Pig Scripting for Data Transformation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS301 | Data Visualization Techniques | Core | 4 | Principles of Data Visualization, Types of Charts and Graphs, Introduction to Tableau/Power BI, Designing Interactive Dashboards, Geographic and Time-Series Visualizations |
| BCA-DS303 | Cloud Computing Fundamentals | Core | 4 | Cloud Computing Concepts and Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization and Containerization, Cloud Security and Management |
| BCA-DS305 | Research Methodology | Core | 2 | Fundamentals of Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Presentation |
| BCA-DS307 (A) | Natural Language Processing | Elective | 4 | Introduction to NLP, Text Preprocessing and Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Sentiment Analysis |
| BCA-DS307 (B) | Deep Learning | Elective | 4 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders and GANs, Deep Learning Frameworks (TensorFlow, PyTorch) |
| BCA-DS309 (A) | IoT and Edge Computing | Elective | 4 | IoT Architecture and Protocols, Sensors, Actuators and Microcontrollers, Edge Computing Concepts, Data Processing at the Edge, Security and Privacy in IoT |
| BCA-DS309 (B) | Business Analytics | Elective | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Business Intelligence and Decision Making |
| BCA-DS311 | Data Visualization Techniques Lab | Lab | 2 | Creating Visualizations with Tableau/Power BI, Building Interactive Dashboards, Data Storytelling through Visuals, Customizing Charts and Reports, Connecting to Various Data Sources |
| BCA-DS313 | Cloud Computing Fundamentals Lab | Lab | 2 | Deploying Virtual Machines on Cloud, Configuring Cloud Storage, Implementing Serverless Functions, Using AWS/Azure Basic Services, Cloud Monitoring and Management |
| BCA-DS315 | Mini Project | Project | 2 | Problem Identification and Scope Definition, Requirement Analysis, System Design and Planning, Implementation and Testing, Project Report and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-DS302 | Ethics in Data Science | Core | 2 | Data Privacy and Confidentiality, Bias and Fairness in AI, Data Governance and Regulations, Ethical AI Development Principles, Compliance with Data Protection Laws (e.g., India''''s DPA Bill) |
| BCA-DS304 (A) | Big Data Analytics | Elective | 4 | Big Data Exploration and Preprocessing, Predictive Modeling with Big Data, Stream Processing with Kafka/Spark Streaming, Real-time Analytics, Data Lake and Data Mesh Concepts |
| BCA-DS304 (B) | Reinforcement Learning | Elective | 4 | Markov Decision Processes, Q-Learning and Sarsa, Policy Gradient Methods, Deep Reinforcement Learning, Applications in Robotics and Gaming |
| BCA-DS306 (A) | Financial Analytics | Elective | 4 | Financial Ratios and Valuation, Portfolio Optimization, Risk Management in Finance, Algorithmic Trading Strategies, Predictive Models for Financial Markets |
| BCA-DS306 (B) | Computer Vision | Elective | 4 | Image Processing Fundamentals, Feature Extraction and Matching, Object Detection, Image Segmentation, Facial Recognition Systems |
| BCA-DS308 | Industrial Project | Project | 10 | Real-world Problem Formulation, Advanced Data Science Solution Design, Implementation and Deployment, Project Management and Teamwork, Technical Documentation and Presentation |
