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B.Tech – Artificial Intelligence & Data Science Engineering

B.Tech in Artificial Intelligence & Data Science with Specialisation in Intelligent Systems & Data-Driven Technologies
The B.Tech in Artificial Intelligence & Data Science at Imperial College of Engineering (ICE) is a future-oriented undergraduate programme designed to develop highly skilled professionals capable of building intelligent systems and extracting meaningful insights from complex data. The programme offers a strong foundation in computer engineering and mathematics while integrating advanced technologies such as Artificial Intelligence, Machine Learning, Big Data Analytics, Cloud Computing, and Intelligent Automation. Through a balanced blend of theory, hands-on learning, and real-world applications, students are prepared to meet the growing global demand for AI and data-driven solutions.

Duration: 4 Years (8 Semesters)
Affiliation & Approval: As per statutory and regulatory norms

Programme Overview
The Department of Artificial Intelligence & Data Science at ICE focuses on developing analytical thinkers and problem solvers with a strong foundation in computing, statistics, and intelligent technologies.
The curriculum is structured to ensure:
• Strong conceptual clarity in AI, ML, and data science fundamentals
• Hands-on laboratory experience using real-world datasets
• Exposure to modern AI tools, frameworks, and platforms
• Industry-oriented learning through projects and case studies

Graduates of this programme are well-equipped to pursue careers in data analytics, artificial intelligence, intelligent automation, research, or higher education in advanced computing domains.

Programme Structure
The programme curriculum is carefully designed to cover both foundational computing knowledge and advanced AI & data science domains.

Core Subjects Include:
• Programming Fundamentals & Object-Oriented Design
• Data Structures & Algorithms
• Mathematics for Artificial Intelligence & Data Science
• Probability, Statistics & Linear Algebra
• Database Management Systems
• Operating Systems & Computer Networks
• Data Mining & Warehousing

Advanced & Emerging Technology Exposure:
• Artificial Intelligence & Machine Learning
• Deep Learning (Introductory Level)
• Big Data Analytics
• Data Visualization & Business Intelligence
• Cloud Computing for Data Science
• Natural Language Processing (Introductory Exposure)

Programme Highlights
Strong Analytical & Computational Foundation
The programme builds a solid foundation in mathematics, programming, and data analysis, enabling students to design intelligent models, analyze complex datasets, and solve real-world problems using data-driven approaches.

Labs & Practical Exposure
Students gain hands-on experience through AI & data science laboratories, model-building exercises, real-world datasets, programming workshops, and mini-projects. Emphasis is placed on applying concepts to practical and industry-relevant problems.

Industry Alignment
The curriculum is continuously updated to align with current industry trends in AI, machine learning, and data analytics. Students are trained using industry-relevant tools, libraries, and platforms to ensure professional readiness.

Internship & Practical Learning Opportunities
ICE encourages experiential learning through:
• Industry internships in AI & data-driven domains
• Project-based learning using real-world datasets
• Technical workshops, hackathons, and seminars
• Industry interaction sessions and expert talks
• Skill enhancement and certification-oriented programs
These opportunities help students gain real-world exposure, strengthen analytical thinking, and build confidence in applying AI and data science concepts professionally.

Career Opportunities
A degree in Artificial Intelligence & Data Science from ICE opens doors to high-growth careers across technology-driven industries. Graduates are prepared to design, analyze, and deploy intelligent and data-centric solutions.

Career Roles Include:
• Data Analyst
• Data Scientist (Entry-Level)
• Machine Learning Engineer
• AI Engineer
• Business Intelligence Analyst
• Data Engineer
• Analytics Consultant
• Research Assistant (AI & Data Science)

Graduates may also pursue higher education, research, or entrepreneurial ventures in AI-driven and data-centric domains.

Eligibility Criteria
Admission to the B.Tech in Artificial Intelligence & Data Science programme is offered as per:
• Norms prescribed by regulatory authorities
• Eligibility criteria defined by the affiliating university
• Performance in qualifying examinations and entrance tests (as applicable)

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Industry
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Infrastructure
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Academics
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Magzine
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Mechanical Department

Why Imperial College of Engineering

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Future-Focused Education

Curriculum aligned with emerging technologies, AI, and industry.

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Innovation-Driven Learning

Strong emphasis on hands-on projects, research, and problem-solving.

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AI & Technology Excellence

Dedicated focus on artificial intelligence, data-driven learning, and automation.

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Industry-Oriented Approach

Practical training, internships, and career-readiness programs.

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Advanced Infrastructure

Modern laboratories, smart classrooms, and learning resources.

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Experienced Faculty

Qualified educators with academic and industry expertise.

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Holistic Student Development

Equal focus on technical skills, soft skills, and professional ethics.

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Career & Placement Support

Structured guidance to help students transition from campus to industry.

Testimonials

Student Testimonials

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Rahul Patil
B.Tech Computer Science Engineering

Imperial College of Engineering gave me more than just a degree. The practical labs, supportive faculty, and placement training helped me build confidence and real technical skills. I feel industry-ready today.”.

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Sneha Deshmukh
B.Tech Artificial Intelligence & Robotics

The learning environment at Imperial College is very positive. The hands-on projects, workshops, and guidance from professors helped me understand complex concepts easily and practically.

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Amit Kulkarni
B.Tech Mechanical Engineering

The workshops and laboratories are well-equipped, and the teaching approach is very practical. The college focuses on skill development, which helped me during internships and interviews.

Blog

Our Latest Blog Post

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Artificial Intelligence: The Future of Engineering

Artificial Intelligence is transforming engineering by enabling smarter design, automation, and data-driven decision-making.
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Advance August 28

Engineering Education and Hiring: Bridging the Skill Gap

The engineering industry today demands more than academic knowledge—it requires practical skills, adaptability, and industry exposure.
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Advance August 28

Why Engineering Education Must Go Beyond Classroom Theory

In today’s competitive job market, engineering education must go beyond theory and focus on practical, industry-relevant skills.