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About B.Tech Computer Science and Engineering (AI and ML)

Sandip University offers a comprehensive B.Tech in Computer Science and Engineering with a specialisation in Artificial Intelligence (AI) and Machine Learning (ML). The program is designed to help students gain a well-rounded education in AI and ML to become skilled and employable professionals. The course curriculum includes topics like mathematics, physics, coding, computer programming, deep learning, and augmented reality.

Automation is taking industries by the storm, and there is a growing demand for professionals who can develop visionary technologies in machine learning and artificial intelligence. As one of the top computer science colleges in Bihar, Sandip University has partnered with top companies in the industry to provide students with an industry-synced education in this field.

Students pursuing B.Tech in Artificial Intelligence and Machine Learning from Sandip University are trained to understand complex probabilistic models, human-computer interaction, and edge computing to provide them with futuristic knowledge and skills in AI and ML. After completing this program, students are placed in top companies like Wipro, Accenture, Infosys, TCS, Amazon, etc. which are Sandip University’s placement partners.

Career Opportunities in Artificial Intelligence and Machine Learning

Artificial Intelligence Engineer

An artificial intelligence engineer is a professional who uses data science, software, and algorithms to create computers that mimic the functionality of a human brain

Machine Learning Engineer

Machine learning engineers are responsible for running algorithms and creating programs to ensure that a machine can perform repetitive tasks without further external programming.

Data Scientist

A data scientist collects and analyses unstructured data in huge quantities to collect relevant information that can lead to strategic decision-making within an organisation.

Data Analyst

A data analyst analyses existing data, extracts useful information, and further analyses that information to draft comprehensive reports regarding a particular issue.

Program Structure

Engilish Communication Skills	Algebra and Differential Calculus
Environmental Studies	Workshop
Applied Chemistry	Engineering Mechanics
Demystifying AIML	NSS/NCC/YRC/CLUBS*

Applied Physics	Engineering Graphics & CADD
Python programming	Technical communication
Integral Calculus	Introduction to Computing and C Programming Language
NSS/NCC/YRC/CLUBS*

Discrete Mathematics and Logic	Digital Design and Computer Organization
Object Oriented Programming	Data Structures
Supervised Learning	Object Oriented Programming Lab
Data Structure Lab	Supervised Learning Lab
Industry Internship

Modern Mathematics	Object Oriented Programming in Java
Database Management System	Unsupervised learning and neural network
Professional Ethics	Object Oriented Programming in Java Lab
Database management system Lab	Unsupervised Learning and Neural Network lab
English Communication and Soft Skill	Foreign Language (French I / German I)

Value Added Course (Any One)
Formal Languages and Automata Theory	Operating System
Advanced Neural Network	Computer Networks
Natural Language Processing	Advanced Neural Network lab
Natural Language Processing Lab	Industry Internship II
Employability Skill
Advanced Computer Networks	IOT Architecture & Protocols

Open Elective I
Design and Analysis of Algorithm	Software Engineering and Project Management
Search Algorithms	Computer Vision & Image Processing
Open Elective I	Search Algorithms Lab
Computer Vision & Image Processing Lab	Seminars
Professional Skill
Business Intelligence
Value Added Course (Any One)
Web Technology	E-Commerce
Data Mining

Open Elective II
Object Oriented Analysis and Design	Robotics Using AI
Programs of Quantum Computing	Open Elective II
Object Oriented Analysis and Design lab	AI using robotics lab
Programs of Quantum Computing	Project Stage – I
Industry Internship III
Web Development and Services	Planning Analytics
Value Added Course (Any One)
Introduction to Industry 4.0/ 5.0	Micro Services Architecture and Implementation
Introduction to Intellectual Property to Engineers and Technologists

Program Elective I	Program Elective II
Program Elective III	Dissertation Stage - II

Program Elective I
Advance Software Engineering	Software Project Management
Grid and Cluster Computing	Machine Learning
Program Elective II
Neural Networks	Soft Computing
Mobile Computing	Ubiquitous Computing
Program Elective III
Information Storage and Retrieval	Distributes System
Advanced Databases	Embedded and Real Time Operating System

Fee Structure & Eligibility

Programme	Sem	Year	Mode	Eligibility	Fees Per Year
SCHOOL OF ENGINEERING & TECHNOLOGY (UG) (First and Direct Second Year)
B.Tech in Computer Science. & Engg with AI & ML.	8	4	Sem	Candidates must have 50% marks in 10+2 and 45% in PCM compulsary OR Passed 3 years Diploma examination with at least 50% marks.( For Lateral Entry/ Direct Second Year)	Rs 1,25,000/-