B.Tech in Computer Science & Engineering (Artificial Intelligence)
The B.Tech in Computer Science & Engineering (Artificial Intelligence) programme at Shri Davara University equips students with advanced knowledge of AI technologies, intelligent systems, machine learning, deep learning, and data-driven decision-making to solve real-world challenges across industries.
Programme Overview
Admission Procedure
Career Path
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist
- AI Research Associate
- Computer Vision Engineer
- NLP Engineer
- Robotics Engineer
- AI Software Developer
- Deep Learning Engineer
- Cloud AI Engineer
- Business Intelligence Analyst
- Automation Engineer
- AI Consultant
- Research Scientist
- Higher Studies (M.Tech, MS, MBA, Ph.D.)
Programme Outcomes
PO1: Engineering Knowledge
Apply engineering, mathematics, and AI principles to develop intelligent computing solutions.
PO2: Problem Analysis
Analyse complex computational problems and design AI-based approaches for effective solutions.
PO3: Design & Development
Develop intelligent software systems using machine learning, deep learning, and automation techniques.
PO4: Investigation
Conduct experiments, evaluate AI models, and interpret data using scientific and analytical methods.
PO5: Modern Tool Usage
Utilise modern AI frameworks, programming tools, cloud platforms, and intelligent computing technologies.
PO6: Professional Ethics
Apply ethical principles, fairness, privacy, and responsible AI practices in professional environments.
PO7: Environment & Sustainability
Design AI-enabled solutions that contribute to sustainable development and societal well-being.
PO8: Individual & Team Work
Work effectively as an individual and as a member or leader of multidisciplinary teams.
PO9: Communication
Communicate technical ideas, AI solutions, and research findings effectively through reports and presentations.
PO10: Project Management
Apply project management principles and entrepreneurial skills in AI-driven software development projects.
PO11: Lifelong Learning
Continuously upgrade technical knowledge and adapt to emerging trends in artificial intelligence and computing.