Program Overview
Our B.Tech in Artificial Intelligence and Data Science program is designed for students passionate about AI technologies, data-driven solutions, and computational intelligence. As industries increasingly rely on AI and big data, this program combines theoretical insights with hands-on experience to meet industry demands. The curriculum establishes a strong foundation in computer science, covering subjects such as programming, data structures, and database management. Students specialize in AI and data science topics like machine learning, deep learning, natural language processing, data mining, and predictive analytics, equipping them with the knowledge required to develop intelligent solutions for real-world applications. With a focus on experiential learning, the program integrates industry projects, AI model development, hackathons, and internships to ensure students can apply concepts in practical settings. Graduates are well-prepared for careers in AI engineering, data analytics, research, and business intelligence. In addition to technical expertise, the program fosters problem-solving, critical thinking, and innovation skills. Guided by experienced faculty and industry professionals, students gain the knowledge and confidence to thrive in the AI- driven digital landscape.
Eligibility Criteria
Admission Requirements
Applicants must have passed the 10+2 exam with Physics, Chemistry, and Mathematics from a recognized board with a minimum required percentage as per university norms.
Program Outcomes & Objectives
PEO1
Lead their career in different professional roles in reputed industries and solve problems by applying the principles of computer science, mathematics, artificial intelligence, data science, and scientific investigation to provide industry-accepted solutions using the latest technologies.
PEO2
Demonstrate effective communication, engage in teamwork, exhibit leadership skills, ethical attitude, and achieve professional advancement through continuing education.
PEO3
Continue their education in leading graduate programs in engineering and interdisciplinary areas to emerge as researchers, experts, educators, and entrepreneurs, and recognize the need for lifelong learning and continuous professional development.
PEO4
Enable students to continue learning and expand their knowledge to navigate the ever-changing biztech world.
PSO1
Formulate and build optimized solutions for computationally intensive applications.
PSO2
Use tools and techniques in Artificial Intelligence and Data Science for solving multidisciplinary problems.
PO1: Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: Problem Analysis
Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/Development of Solutions
Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health, safety, and environmental factors.
PO4: Conduct Investigations
Use research-based knowledge and methods including design of experiments, analysis, interpretation of data, and synthesis of information to provide valid conclusions.
PO5: Modern Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling with an understanding of limitations.
PO6: Engineer and Society
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.
PO7: Environment and Sustainability
Understand the impact of engineering solutions in societal and environmental contexts and demonstrate knowledge of sustainable development.
PO8: Ethics
Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
PO9: Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
PO10: Communication
Communicate effectively on complex engineering activities with the engineering community and society through reports, presentations, and clear instructions.
PO11: Project Management and Finance
Demonstrate knowledge of engineering and management principles and apply them to manage projects effectively in multidisciplinary environments.
PO12: Life-Long Learning
Recognize the need for and engage in independent and life-long learning in the context of technological change.