About the Programme

The Bachelor of Science (BSc) with specialization in Artificial Intelligence (AI) and Machine Learning (ML) is a 3-year undergraduate program that focuses on providing students with a strong foundation in computer science and specialized training in AI and ML. The program is designed to prepare students for a career in the technology industry, specifically in the field of AI and ML. Students will learn how to develop AI and ML-based applications and algorithms, as well as how to analyze and interpret data using statistical and machine learning techniques. In addition to the theoretical knowledge, the program also provides hands-on training through projects and internships. Students will work on real-world problems and develop practical skills that are highly valued by employers. Upon completing the program, students will have a strong foundation in computer science, as well as specialized skills in AI and ML. Graduates of this program can pursue careers as AI and ML engineers, data analysts, software developers, research scientists, and other related roles in the technology industry.

This course is for individuals who...

This program, Bachelor of Science (BSc) with specialization in Artificial Intelligence (AI) and Machine Learning (ML), is designed for students who are interested in pursuing a career in the field of AI and ML. It is an undergraduate degree program that combines the fundamental principles of computer science with specialized training in AI and ML.

Students who are looking for...

Students who enroll in this program can expect to learn about various core computational subjects along with statistical modeling. Additionally, they will receive specialized training in AI and ML, which includes topics such as deep learning and natural language processing. Upon completing this program, students can pursue careers as AI and ML engineers, data analysts, software developers, research scientists, and other related roles in the technology industry. The program prepares students with the skills and knowledge necessary to work in various industries such as healthcare, finance, e-commerce, and more.

Course Fee

1st Year 125000

2nd Year 128750

3rd Year 132613

1st Sem 64000	3rd Sem 65875	5th Sem 67806
2nd Sem 64000	4th Sem 65875	6th Sem 67806

For International Students

Fee Per Semester	Fee Per Year
NA	4000*

Programme Structure

Semester 1

Batch: 2025 Onwards						SEMESTER: I
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category





			L	T	P
THEORY SUBJECTS
2	BSCS1101	Fundamental of Computer & Web Technologies	3	0	0	3		CC
3	BSAI1301	Artificial Intelligence	3	0	0	3		IDC
4	BSCS1401	Introduction to IoT	2	0	0	2		SEC
5	ARP107	Communicative English-1	2	0	0	2		AEC
VAC			3	0	0	3		VAC
6	BSCS1901	Environmental Management
	OR
	BCCR1902	Ethics and Social Implications of AI
Practical/Viva-Voce/Jury
7	BSCS1501	Problem solving using C Programming Lab	0	1	4	3	Basic Mathematics	CC
8	BSCS1502	Fundamental of Computer & Web Technologies Lab	0	0	2	1		CC
9	BSAI1501	Artificial Intelligence Lab	0	0	2	1		IDC
10	BSCS1504	Introduction to IOT with hands-on lab Implementation	0	0	2	1		SEC
TOTAL CREDITS						19

Semester 2

Batch: 2025 Onwards						SEMESTER: II
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category




			L	T	P
THEORY SUBJECTS
1	BSCS1302	Probability and Statistics	3	0	0	3	Problem solving using C Programming	CC
Department Open Elective-I			3	0	0	3		OE
3	BSAI1002	Blockchain Technology
	BSAI1003	Cyber Analytics
4	SKP 1200	Communicative English -2	2	0	0	2		AEC
VAC			3	0	0	3		VAC
5	BSCS1901	Environmental Management
	OR
	BCCR1902	Ethics and Social Implications of AI
Practical/Viva-Voce/Jury
6	BSCS1505	Principles of Data Structures Lab	0	1	4	3	Problem solving using C Programming	CC
7	BSAI1502	Blockchain Technology Lab	0	0	2	1		OE
	BSAI1503	Cyber Analytics Lab
8	BSCS1508	Application based Programming in Python Lab	0	1	4	3		CC
9	VOP103	Design thinking & creative learning Lab	0	1	4	3		SEC
10		Value Added	3	0	0	0		VAT
TOTAL CREDITS						21

Semester 3

Batch: 2025 Onwards						SEMESTER: III
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category





			L	T	P
THEORY SUBJECTS
1	BSAI2004	Machine Learning	2	0	0	2		Minor
2	BSCS2102	Principles of Data Base Management System	3	1	0	4		CC
3	BRM002	Research Methodology & IPR	1	0	0	1		IDC
4	BSAI2105	Big Data Analytics	3	0	0	3		CC
Department Open Elective-II			2	0	0	2		OE
5	BSAI2006	Mobile UI/UX Design
5	BSAI2007	Introduction to Cloud Computing
6	BSAI2008	Augmented Reality Applications Development	2	0	0	2		SEC
Practical/Viva-Voce/Jury
7	BSAI2506	Mobile UI/UX Design Lab	0	0	2	1		OE
7	BSAI2507	Introduction to Cloud Computing Lab	0	0	2	1		OE
8	BSAI2504	Machine Learning Lab	0	0	2	1		Minor
9	BSCS2506	Principles of Data Base Management System Lab	0	0	2	1		CC
10	BSAI2508	Augmented Reality Applications Development-Lab	0	0	2	1		SEC
11	ARP209	Logical Skills Building and Soft Skills	0	1	2	2		AEC
12	RBL001	Research Based Learning-1	0	0	2	0		Audit Course
TOTAL CREDITS						20

Semester 4

Batch: 2025 Onwards						SEMESTER: IV
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category




			L	T	P
THEORY SUBJECTS
1	BSAI2109	Design and Analysis of Algorithm	3	1	0	4	Data Structures Using C	CC
2	BSAI2110	Data analytics	3	1	0	4		CC
3	BSCS2105	Operating System and Unix Shell Programing	3	0	0	3		CC
Department Open Elective-III			2	0	0	2		OE
4	BSAI2011	Social Media Analytics
	BSAI2012	Data Warehousing and Data Mining
	BSAI2013	Ethical Hacking & Penetration Testing
	BSAI2014	Cloud Infrastructure & Services
Practical/Viva-Voce/Jury
5	BSAI2511	Social Media Analytics Lab	0	0	2	1		OE
	BSAI2512	Data Warehousing and Data Mining Lab
	BSAI2513	Ethical Hacking & Penetration Testing Lab
	BSAI2514	Cloud Infrastructure & Services Lab
6	BSAI2509	Design and Analysis of Algorithm Lab	0	0	2	1	Data Structures Using C	CC
7	BSAI2510	Data analytics Lab	0	0	2	1		CC
8	BSCS2513	Operating System and Unix Shell Programing Lab	0	0	2	1		CC
9	CCU108	Community Connect	0	1	2	2		AEC
10	RBL002	Research Based Learning-2	0	0	2	1		Research
TOTAL CREDITS						20

Semester 5

Batch: 2025 Onwards						SEMESTER: V
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category


			L	T	P
THEORY SUBJECTS
1	BSAI3115	Computer Networks and Data Communication	4	0	0	4	Object Oriented Programming	CC
2	BSCS3102	Software Engineering and Quality Assurance	4	0	0	4		CC
4	BSCS3301	Entrepreneurship Development	3	0	0	3		IDC
Department Open Elective-IV			4	0	0	4		OE
5	BSAI3016	Computer Vision
	BSAI3017	Natural Language Processing
	BSAI3018	Network Security & Cryptography
	BSAI3019	Introduction to R
Practical/Viva-Voce/Jury
6	BSAI3515	Computer Networks and Data Communication lab	0	0	2	1	Object Oriented Programming	CC
	TSEC01	Technical Skill Enhancement Course - I	0	0	2	1		CC
	BOL381	Summer Internship	0	0	4	2		Internship
7	RBL003	Research Based Learning-3	0	0	2	0		AUDIT
8	BSAI3516	Computer Vision Lab	0	0	2	1		OE
	BSAI3517	Natural Language Processing Lab
	BSAI3518	Network Security & Cryptography Lab
	BSAI3519	Introduction to R Lab
TOTAL CREDITS						20

OR
1		Apprenticeship	0	0	40	20

Semester 6

Batch: 2025 Onwards						SEMESTER: VI
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite/Co Requisite	Category



			L	T	P
THEORY SUBJECTS
1	BSAI3120	Dot Net Framework using C	3	0	0	3	Object Oriented Programming	CC
2	BSAI3121	Deep Learning	4	0	0	4	Python / R Programming	CC
Department Open Elective-V			3	0	0	3		OE
4	BSCS3005	Full-Stack Development
	BSCS3006	AI for Data Science
	BSCS3007	Fundamental of Digital Forensics
	BSCS3008	Serverless Computing & DevOps in Cloud
Practical/Viva-Voce/Jury
5	BSAI3520	Dot Net Framework using C Lab	0	0	2	1	Object Oriented Programming	CC
6	BSAI3521	Deep Learning Lab	0	0	2	1	Python / R Programming	CC
	TSEC02	Technical Skill Enhancement Course - II	0	2	4	4		CC
7	RBL004	Research Based Learning-4	0	0	2	1		Research
8	INC003	Industry Connect	0	1	2	2		INTERNSHIP
9	BSCS3511	Full-Stack Development Lab	0	0	2	1		OE
	BSCS3512	AI for Data Science Lab
	BSCS3513	Fundamental of Digital Forensics Lab
	BSCS3514	Serverless Computing & DevOps in Cloud Lab
TOTAL CREDITS						20
OR
1		Apprenticeship	0	0	40	20

Programme Curricula

S.No.	Academic year	Curricula Link
1	2023-24	View Details

Eligibility Criteria

For National Students	Sr. Secondary (10+2) with minimum 50% aggregate marks with PCM as mandatory subject.
For International Students	The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.

How to apply for the course?

Career path you can choose after the course

Data Analyst
Machine Learning Engineer
Data Scientist
Artificial Intelligence Engineer
Business Intelligence Analyst
Big Data Engineer
Cloud Architect
Technical Writer

For Students

For Employees

B.Sc. - (CS) Artificial Intelligence and Machine Learning