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Overview

B.E (Artificial Intelligence and Data Science) or Bachelor of Engineering in Artificial Intelligence and Data Science is a professional engineering Under-Graduate degree course which is a total of four years duration. During the past few years, AI and Data Science have emerged as one of the most high-growth, dynamic, and lucrative careers in technology. The Bachelor of Engineering in Artificial Intelligence and Data Science is a skill-oriented course and is mostly based on practical and application-based research.

Those who want to gain cross-disciplinary skills across fields such as statistics, computer science, machine learning and logic, and data science can pursue this course.

How is the B.E (Artificial Intelligence and Data Science) Course Beneficial?

You will get to learn about the transformative power of Artificial Intelligence and use it to solve real-world challenges.
AI & Data Science course equips aspirants with statistical, mathematical reasoning, machine learning, visualization skills, and knowledge discovery.

B.E (Artificial Intelligence and Data Science) Employment Areas

Healthcare
Businesses
E-Commerce
Social Networking Companies
IT Consultancies

B.E (Artificial Intelligence and Data Science) Job Types

AI Engineer
Business Intelligence Strategist
Data Scientist
Data Mining Engineer
Machine Learning Engineer
Researcher

Syllabus

B.E (Artificial Intelligence and Data Science) Semester-I
Sr. No.	Subjects to Study
1	Computer Organization and Architecture
2	Ethics in Information Technology
3	Mathematical Foundations of Computing
4	Programming for Problem Solving
B.E (Artificial Intelligence and Data Science) Semester-II
1	Concepts of Entrepreneurship
2	Calculus, Vector Spaces, and Laplace Transform
3	Digital System Design
4	Internet of Things and Python Programming
5	Microprocessor and Microcontroller
6	Practicals Digital System Design Lab Microprocessor and Microcontroller Lab MOOC-I
B.E (Artificial Intelligence and Data Science) Semester-III
1	Data Structures and Algorithms
2	Entrepreneurship and Product Development
3	Object-Oriented Programming
4	Partial Differential Equations, Probability, and Statistics
5	Software Engineering
6	MOOC-II
B.E (Artificial Intelligence and Data Science) Semester-IV
1	Computer Networks and Operating Systems
2	Discrete Structure
3	Design and Analysis of Algorithms
4	MOOC-III
5	Mini Project / Summer Internship-I
B.E (Artificial Intelligence and Data Science) Semester-V
1	Database Management System
2	Introduction to Data Science
3	Optimization Methodologies
4	Theory of Computation and Web Technology
5	MOOC-IV
B.E (Artificial Intelligence and Data Science) Semester-VI
1	Distributed Computing and Embedded Systems
2	Machine Learning Techniques
3	System Software and Compiler Design
4	MOOC-V
5	Mini Project / Summer Internship-II
B.E (Artificial Intelligence and Data Science) Semester-VII
1	Cryptography and Network Security
B.E (Artificial Intelligence and Data Science) Semester-VIII
2	Core Product Development