Program Details

Program Description

Course overview & introduction

The Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science program provides students with in-depth expertise in machine learning, deep learning, big data analytics, and AI-driven solutions. This specialization equips graduates with the skills needed to excel in the rapidly evolving field of artificial intelligence and data-driven decision-making.

4-Year Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science

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.

Program Outcomes

Learning outcomes & graduate attributes

PO1

^{Course Duration}

Four years of comprehensive education that blends theoretical knowledge, practical application, and industry exposure.

PO2

^{Campus Recruitment}

Leading tech companies, AI research firms, and multinational corporations actively recruit graduates for roles such as AI engineer, data scientist, machine learning engineer, and business intelligence analyst.

PO3

^{Internship Opportunity}

The curriculum offers practical exposure through industry internships with AI startups, data analytics firms, and research institutions.

Career Prospects

Career opportunities & future scope

AI Engineer
Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Deep Learning Specialist
Research Scientist (AI & ML)
Big Data Engineer
NLP Engineer
Computer Vision Engineer
Predictive Analytics Expert

Eligibility Criteria

Academic qualifications required for admission

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.

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