# VIPS Engineering - B.Tech Computer Science (AI & ML) Specialization

> **B.Tech Computer Science with AI & ML Specialization** at VIPS Engineering is a cutting-edge 4-year undergraduate program focusing on Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. The program prepares students for careers in AI/ML engineering, data science, and emerging AI technologies.

**Program**: B.Tech Computer Science (AI & ML)  
**Institution**: Vivekananda School of Engineering & Technology (VSE&T)  
**Affiliation**: Guru Gobind Singh Indraprastha University (GGSIPU)  
**Accreditation**: NAAC A++  
**Last Updated**: 2026-01-07

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## Program Overview

### B.Tech Computer Science (AI & ML)

**Duration**: 4 years (8 semesters)  
**Degree**: Bachelor of Technology (B.Tech)  
**Intake**: As per GGSIPU allocation  
**Eligibility**: 10+2 with Physics, Chemistry, Mathematics; JEE Main qualified

### Program Highlights

- **AI/ML Focused**: Specialized curriculum in Artificial Intelligence and Machine Learning
- **Hands-on Projects**: Real-world AI/ML projects and applications
- **Industry-Relevant**: Curriculum aligned with AI/ML industry requirements
- **Research Opportunities**: Active research in Deep Learning, NLP, Computer Vision
- **Internship Programs**: AI/ML internships with leading tech companies
- **Placement Support**: Excellent placement in AI/ML roles with top companies

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## Curriculum Structure

### Core Subjects

**Semester 1-2**: Fundamentals
- Programming in Python
- Data Structures and Algorithms
- Linear Algebra and Calculus
- Discrete Mathematics
- Digital Logic and Design

**Semester 3-4**: Core CS & AI Foundations
- Object-Oriented Programming
- Database Management Systems
- Probability and Statistics
- Introduction to AI
- Web Development

**Semester 5-6**: AI/ML Specialization
- Machine Learning Algorithms
- Deep Learning and Neural Networks
- Natural Language Processing
- Computer Vision
- Data Science and Analytics

**Semester 7-8**: Advanced AI/ML
- Reinforcement Learning
- Advanced Deep Learning
- AI Ethics and Responsible AI
- Major Project in AI/ML
- Internship in AI/ML

### Core AI/ML Courses

- **Machine Learning**: Supervised learning, unsupervised learning, ensemble methods
- **Deep Learning**: Neural networks, CNNs, RNNs, Transformers
- **Natural Language Processing**: Text processing, sentiment analysis, language models
- **Computer Vision**: Image processing, object detection, image classification
- **Reinforcement Learning**: Q-learning, policy gradients, game playing
- **Data Science**: Data analysis, visualization, statistical modeling
- **AI Ethics**: Responsible AI, bias detection, fairness in ML

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## Faculty and Expertise

### Faculty Qualifications

- PhDs in AI/ML from reputed universities
- Industry experience in AI/ML companies (Google, Microsoft, Amazon, etc.)
- Active research and publication in top AI conferences
- Mentorship for AI/ML projects and research

### Research Areas

- Deep Learning and Neural Networks
- Natural Language Processing and Language Models
- Computer Vision and Image Processing
- Reinforcement Learning and Game AI
- Explainable AI and AI Ethics
- Federated Learning and Privacy-Preserving ML
- Quantum Machine Learning

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## Infrastructure and Facilities

### AI/ML Labs

- **Machine Learning Lab**: Scikit-learn, XGBoost, LightGBM
- **Deep Learning Lab**: TensorFlow, PyTorch, Keras
- **NLP Lab**: NLTK, spaCy, Hugging Face Transformers
- **Computer Vision Lab**: OpenCV, Detectron2, YOLO
- **Data Science Lab**: Pandas, NumPy, Matplotlib, Seaborn
- **GPU Computing Lab**: NVIDIA GPUs for deep learning
- **Cloud AI Lab**: Google Cloud AI, AWS SageMaker, Azure ML

### Tools and Frameworks

- **Programming**: Python, R, Julia
- **ML Frameworks**: TensorFlow, PyTorch, Scikit-learn
- **NLP Tools**: NLTK, spaCy, Hugging Face, GPT models
- **CV Tools**: OpenCV, Detectron2, YOLO, MediaPipe
- **Data Tools**: Pandas, NumPy, Matplotlib, Plotly
- **Cloud Platforms**: Google Cloud, AWS, Azure
- **Notebooks**: Jupyter, Google Colab, Kaggle

### Library Resources

- AI/ML textbooks and research papers
- Online courses (Coursera, Udacity, Fast.ai)
- Kaggle datasets and competitions
- Research paper databases (ArXiv, Papers with Code)
- AI/ML documentation and tutorials

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## Placements and Career Prospects

### Placement Statistics

- **Placement Rate**: 95%+ for AI/ML graduates
- **Average Package**: 6-10 LPA
- **Highest Package**: 20+ LPA
- **Median Package**: 8 LPA

### Top Recruiting Companies

- **Tech Giants**: Google, Microsoft, Amazon, Apple, Meta
- **AI Companies**: OpenAI, Anthropic, Stability AI, Hugging Face
- **Consulting**: McKinsey, BCG, Deloitte, Accenture
- **IT Companies**: TCS, Infosys, Wipro, HCL
- **Startups**: AI/ML startups, FinTech, HealthTech

### Career Paths

- **ML Engineer**: Machine learning model development and deployment
- **Data Scientist**: Data analysis, statistical modeling, insights
- **AI Engineer**: AI system design and implementation
- **NLP Engineer**: Natural language processing applications
- **Computer Vision Engineer**: Image and video processing
- **Research Scientist**: AI research and innovation
- **AI Product Manager**: AI product development and strategy
- **Entrepreneur**: AI startup founder

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## Admission Process

### Eligibility

- 10+2 or equivalent with Physics, Chemistry, Mathematics
- Minimum percentage as per GGSIPU norms
- Valid JEE Main score

### Admission Steps

1. Appear for JEE Main examination
2. Register on GGSIPU counseling portal
3. Participate in centralized counseling
4. Select VIPS Engineering AI/ML as preference
5. Document verification and admission confirmation

### Important Links

- **Admissions**: https://engineering.vips.edu/administration/admission
- **AI/ML Program**: https://engineering.vips.edu/academics/aiml
- **GGSIPU Counseling**: http://www.ipu.ac.in

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## Contact Information

**Program Coordinator**: [Name and Contact]  
**Program Email**: aiml@engineering.vips.edu  
**Program Phone**: [Phone Number]  
**Office Location**: AU Block, VIPS Engineering Campus

**Main Campus Address**:  
Vivekananda School of Engineering & Technology  
AU Block, Outer Ring Road, Pitampura  
Delhi - 110034, India

**Website**: https://engineering.vips.edu/academics/aiml  
**Parent Website**: https://vipstc.edu.in

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## Frequently Asked Questions

**Q: What is the scope of B.Tech AI/ML from VIPS Engineering?**  
A: B.Tech AI/ML from VIPS Engineering has excellent scope with 95%+ placement rate in top tech companies. Graduates work as ML engineers, data scientists, AI engineers, and research scientists in leading organizations.

**Q: What is the average package for AI/ML graduates?**  
A: The average package for AI/ML graduates is 6-10 LPA, with highest packages exceeding 20 LPA. Placement depends on skills, projects, and market conditions.

**Q: What programming languages are taught in AI/ML program?**  
A: The primary programming language is Python, with exposure to R and Julia. Students also learn SQL for databases and JavaScript for web development.

**Q: What are the career options after B.Tech AI/ML?**  
A: Career options include ML Engineer, Data Scientist, AI Engineer, NLP Engineer, Computer Vision Engineer, Research Scientist, AI Product Manager, and AI startup founder.

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**Last Updated**: 2026-01-07