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BCA in Ai Ml at Shri Vishwakarma Skill University
Palwal, Haryana
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About the Specialization
What is AI & ML at Shri Vishwakarma Skill University Palwal?
This Artificial Intelligence & Machine Learning program at Shri Vishwakarma Skill University focuses on equipping students with fundamental and advanced skills in AI and ML. India''''s burgeoning tech sector, driven by digital transformation and data proliferation, necessitates a workforce skilled in these cutting-edge domains. This program stands out by integrating theoretical knowledge with extensive practical application, preparing graduates for real-world challenges in the rapidly evolving Indian industry.
Who Should Apply?
This program is ideal for ambitious fresh graduates holding a 10+2 qualification with Mathematics, seeking entry into high-demand AI and ML roles. It also benefits early-career professionals looking to upskill in disruptive technologies or career changers aspiring to transition into the data science and AI industry. Candidates with a strong analytical aptitude and a passion for problem-solving using data are particularly well-suited.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths such as AI Engineer, ML Developer, Data Scientist, Business Intelligence Analyst, or NLP Specialist. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals commanding significantly higher packages. The program fosters growth trajectories in Indian IT services, product companies, and research & development firms, aligning with global professional certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand and practice core programming concepts in C and C++. Actively solve at least 5-10 coding problems daily on online platforms to solidify logic and syntax.
Tools & Resources
HackerRank, LeetCode (easy), GeeksforGeeks, CodeChef, NPTEL courses on C/C++
Career Connection
Strong programming fundamentals are the bedrock for any IT role, crucial for cracking technical interviews and building efficient AI/ML models.
Build a Strong Mathematical Base- (Semester 1-2)
Actively engage with the Mathematics for Computing and Digital Electronics courses. Focus on understanding concepts like set theory, logic, matrices, and boolean algebra, as these directly underpin AI/ML algorithms and computer architecture.
Tools & Resources
Khan Academy, MIT OpenCourseware (Discrete Mathematics), university textbook exercises, study groups
Career Connection
A solid mathematical foundation is indispensable for comprehending complex AI/ML algorithms, optimizing models, and excelling in quantitative roles.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups with peers to discuss challenging topics, explain concepts to each other, and work on small, informal coding projects together. This enhances understanding and develops teamwork skills.
Tools & Resources
GitHub (for collaborative coding), Discord/WhatsApp groups, university library study spaces
Career Connection
Collaboration is key in the industry; these experiences build interpersonal skills vital for team-based software development and project management.
Intermediate Stage
Deep Dive into AI/ML with Python- (Semester 3-4)
Go beyond classroom assignments by undertaking personal projects using Python, focusing on AI and ML concepts learned. Implement algorithms from scratch to understand their mechanics and then leverage libraries like NumPy, Pandas, Scikit-learn, and Matplotlib.
Tools & Resources
Kaggle datasets, Google Colab, Jupyter Notebooks, Udemy/Coursera courses on Python for Data Science/ML, Stack Overflow
Career Connection
Practical project experience is crucial for demonstrating proficiency to recruiters for AI/ML and Data Scientist roles in India.
Seek Industry Exposure through Internships- (Semester 5)
Actively search and apply for summer internships in AI/ML, data science, or related fields at Indian startups or established companies. This provides real-world experience, professional networking, and a deeper understanding of industry practices.
Tools & Resources
Internshala, LinkedIn Jobs, company career pages, university placement cell, industry mentorship programs
Career Connection
Internships often lead to pre-placement offers, build a strong resume, and are critical for understanding the expectations of the Indian IT job market.
Participate in Hackathons and Coding Competitions- (Semester 3-5)
Regularly participate in online and offline hackathons, coding contests, and data science challenges. This sharpens problem-solving skills, exposes you to diverse problems, and builds a competitive portfolio.
Tools & Resources
HackerEarth, DataHack, Kaggle competitions, college technical clubs
Career Connection
Performance in such events is highly valued by Indian tech companies, demonstrating analytical thinking, quick problem-solving, and practical skill application.
Advanced Stage
Develop a Capstone Project with Real-world Impact- (Semester 6)
For your final year project, choose a problem statement that has real-world relevance, preferably sponsored by an industry partner or addressing a social challenge in India. Focus on end-to-end implementation and thorough documentation.
Tools & Resources
Mentorship from faculty/industry experts, advanced AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure)
Career Connection
A well-executed capstone project is a powerful portfolio piece that showcases your specialized skills and problem-solving abilities to potential employers during placements.
Master Interview Skills and Professional Networking- (Semester 5-6)
Actively prepare for technical and HR interviews, focusing on data structures, algorithms, AI/ML concepts, and behavioral questions. Network with professionals through LinkedIn and industry events.
Tools & Resources
Mock interviews, placement cell workshops, LinkedIn, industry conferences (virtual/physical)
Career Connection
Polished interview skills and a strong professional network are vital for securing desired job roles and navigating the competitive Indian job market.
Specialize and Build a Niche Portfolio- (Semester 6)
Identify a specific sub-domain within AI/ML (e.g., Computer Vision, NLP, Reinforcement Learning) that interests you most. Pursue advanced learning through online courses, certifications, and build specialized projects in that area.
Tools & Resources
DeepLearning.AI, specialized Coursera/edX courses, GitHub, personal website/blog to showcase projects
Career Connection
Specialization makes you a more attractive candidate for specific roles in advanced tech companies and startups, differentiating you in the Indian tech talent pool.
Program Structure and Curriculum
Eligibility:
- 10+2 with 50% marks (45% for SC/ST/PwBD/OBC(Non-creamy layer) candidate of Haryana) with Mathematics as one of the subjects.
Duration: 3 years / 6 semesters
Credits: 120 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-101 | Professional Communication Skills | Core | 3 | Communication Process, Reading Comprehension, Writing Skills, Grammar & Vocabulary, Presentation Skills |
| BCA-AIL-103 | Computer Fundamentals | Core | 4 | Introduction to Computers, Number Systems, Memory Organization, Input/Output Devices, Software Concepts |
| BCA-AIL-105 | Programming using C | Core | 4 | C Language Basics, Operators & Expressions, Control Statements, Functions, Arrays & Strings, Pointers |
| BCA-AIL-107 | Mathematics for Computing | Core | 4 | Set Theory, Logic, Relations & Functions, Graph Theory, Combinatorics, Matrices |
| BCA-AIL-109 | Professional Communication Skills Lab | Lab | 1 | Group Discussions, Presentations, Interview Skills, Listening Comprehension, Resume Writing |
| BCA-AIL-111 | Computer Fundamentals Lab | Lab | 1 | OS Installation, MS Office Applications, Internet Usage, Hardware Identification, Basic Troubleshooting |
| BCA-AIL-113 | Programming using C Lab | Lab | 1 | C Program Implementation, Debugging, Conditional Statements, Looping Constructs, Function Calls, Array Operations |
| BCA-AIL-115 | Environmental Studies | Core | 2 | Natural Resources, Ecosystems, Biodiversity, Environmental Pollution, Social Issues & Environment |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-102 | Data Structures using C | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees, Graphs, Searching & Sorting |
| BCA-AIL-104 | Object Oriented Programming using C++ | Core | 4 | OOP Concepts, Classes & Objects, Constructors & Destructors, Inheritance, Polymorphism, Exception Handling |
| BCA-AIL-106 | Computer Organization and Architecture | Core | 4 | Digital Logic, Register Transfer, Microoperations, CPU Organization, Memory Hierarchy, I/O Organization |
| BCA-AIL-108 | Operating System Concepts | Core | 4 | OS Introduction, Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| BCA-AIL-110 | Data Structures using C Lab | Lab | 1 | Stack/Queue Implementation, Linked List Operations, Tree Traversal, Graph Algorithms, Sorting Algorithms |
| BCA-AIL-112 | Object Oriented Programming using C++ Lab | Lab | 1 | Class & Object Implementation, Inheritance, Polymorphism, Operator Overloading, File Handling |
| BCA-AIL-114 | Basic Sanskrit | Core | 2 | Introduction to Sanskrit, Alphabet, Basic Grammar, Simple Sentence Formation, Readings |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-201 | Artificial Intelligence | Core | 4 | AI Introduction, Problem Solving Agents, Search Algorithms, Knowledge Representation, Expert Systems, Natural Language Processing (NLP) Basics |
| BCA-AIL-203 | Database Management Systems | Core | 4 | DBMS Concepts, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| BCA-AIL-205 | Python Programming | Core | 4 | Python Basics, Data Structures, Functions, Modules & Packages, File Handling, OOP in Python |
| BCA-AIL-207 | Digital Electronics | Core | 4 | Number Systems, Logic Gates, Boolean Algebra, Combinational Circuits, Sequential Circuits, Registers & Counters |
| BCA-AIL-209 | Artificial Intelligence Lab | Lab | 1 | Python for AI, Search Algorithms Implementation, Knowledge Representation, Logic Programming, AI Tools |
| BCA-AIL-211 | Database Management Systems Lab | Lab | 1 | SQL Queries, DDL/DML, Joins, Stored Procedures, Triggers, Database Design |
| BCA-AIL-213 | Python Programming Lab | Lab | 1 | Python Scripting, Data Structure Implementation, Module Usage, File I/O, OOP Concepts |
| BCA-AIL-215 | Ethics and Human Values | Core | 2 | Introduction to Ethics, Values & Morals, Professional Ethics, Social Responsibility, Human Rights |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-202 | Machine Learning | Core | 4 | ML Introduction, Supervised Learning, Unsupervised Learning, Regression, Classification, Model Evaluation |
| BCA-AIL-204 | Computer Networks | Core | 4 | Network Topologies, OSI Model, TCP/IP, Addressing, Routing Protocols, Network Security |
| BCA-AIL-206 | Web Development | Core | 4 | HTML, CSS, JavaScript, DOM, Front-end Frameworks (basics), Web Hosting |
| BCA-AIL-208 | Data Analytics | Core | 4 | Data Collection, Data Cleaning, Statistical Analysis, Data Visualization, Predictive Modeling, Business Intelligence |
| BCA-AIL-210 | Machine Learning Lab | Lab | 1 | Python ML Libraries, Regression Models, Classification Models, Clustering Algorithms, Model Training & Evaluation |
| BCA-AIL-212 | Computer Networks Lab | Lab | 1 | Network Configuration, Packet Tracing, Socket Programming, Network Utilities, Security Tools |
| BCA-AIL-214 | Web Development Lab | Lab | 1 | HTML/CSS Design, JavaScript Interactivity, Web Forms, Responsive Design, Basic Web Server |
| BCA-AIL-216 | Universal Human Values | Core | 2 | Self-exploration, Human-Human Relationship, Universal Values, Holistic Understanding, Professional Ethics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-301 | Deep Learning | Core | 4 | Neural Networks, Perceptrons, Backpropagation, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks |
| BCA-AIL-303 | Cloud Computing | Core | 4 | Cloud Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security |
| BCA-AIL-305 | Data Mining | Core | 4 | Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering, Outlier Detection, Web Mining |
| BCA-AIL-307 | Open Elective-I | Elective | 4 | |
| BCA-AIL-309 | Deep Learning Lab | Lab | 1 | TensorFlow/Keras, CNN Implementation, RNN Implementation, Image Classification, Natural Language Processing |
| BCA-AIL-311 | Cloud Computing Lab | Lab | 1 | AWS/Azure/GCP Basics, VM Deployment, Cloud Storage, Serverless Functions, Cloud Services |
| BCA-AIL-313 | Data Mining Lab | Lab | 1 | Weka/R/Python for Data Mining, Preprocessing, Classification Models, Clustering Algorithms, Association Rules |
| BCA-AIL-315 | Summer Internship/Industrial Training | Project/Internship | 2 | Industry Exposure, Project Implementation, Report Writing, Presentation Skills, Professional Communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA-AIL-302 | Natural Language Processing | Core | 4 | NLP Basics, Text Preprocessing, Word Embeddings, POS Tagging, Named Entity Recognition, Sentiment Analysis |
| BCA-AIL-304 | Big Data Analytics | Core | 4 | Big Data Concepts, Hadoop Ecosystem, MapReduce, HDFS, Spark, NoSQL Databases, Data Streaming |
| BCA-AIL-306 | Open Elective-II | Elective | 4 | |
| BCA-AIL-308 | Project Work | Project | 5 | Problem Definition, Literature Review, System Design, Implementation, Testing, Documentation, Presentation |
| BCA-AIL-310 | Natural Language Processing Lab | Lab | 1 | NLTK/SpaCy, Text Preprocessing, Sentiment Analysis, Chatbot Development, Machine Translation |
| BCA-AIL-312 | Big Data Analytics Lab | Lab | 1 | Hadoop Installation, MapReduce Programming, HDFS Operations, Spark Applications, Hive/Pig Queries |
| BCA-AIL-314 | Entrepreneurship Development | Core | 2 | Entrepreneurship Concepts, Business Plan, Market Analysis, Funding, Legal Aspects, Innovation |
