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 113300

2nd Year 116699

3rd Year 120200

1st Sem 58150	3rd Sem 59850	5th Sem 61600
2nd Sem 58150	4th Sem 59850	6th Sem 61600

For International Students

Fee Per Semester	Fee Per Year
NA	4000*

Programme Structure

Semester 1

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: I
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Type of Course
								1. CC
								2. DSE
								3. OE
								4. SEC
								5. AECC
				L	T	P		6. VAC-I
THEORY SUBJECTS
1	BCO223		Artificial Intelligence	5	0	0	5	CC
2	BCO172		Fundamentals of Computer and Programming in C	3	0	0	3	DSE
3	BCO175		Introduction to IoT	2	0	0	2	SEC
4			Open Elective I	3	0	0	3	OE
	BCO176		Introduction to Computers & Technology
	BCO174		Introduction to Entrepreneurship Development
5	ARP103		Communicative English-1	2	0	0	2	AECC
6	BCO173		Ethics and Social Implications of AI	3	0	0	3	VAC-1
Practical/Viva-Voce/Jury
7	BOL172		Fundamentals of Computer and Programming in C- Lab	0	0	2	1	DSE
8	BOL175		Introduction to IoT With hands-on lab Implementation	0	0	2	1	SEC
TOTAL CREDITS							20

Semester 2

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc. (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: II
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Type of Course
								1. CC
								2. OE
								3. SEC
								4. AECC
				L	T	P		5. VAC-II
THEORY SUBJECTS
1	BCO226		Data Structures Using C	4	0	0	4	CC
2	BCO227		Probability and Statistics	3	0	0	3	CC
3	BCO228 BCO229		Open Elective II	3	0	0	3	OE
			Web Analytics
			Mobile Application Development
4	CSP395		Technical Writing and Communication	3	0	0	3	SEC
5	ARP105		Communicative English -2	2	0	0	2	AECC
6	EVS201		Environmental Studies	3	0	0	3	VAC-2
Practical/Viva-Voce/Jury
7	BOL226		Data Structures Using C-Lab	0	0	2	1	CC
8	BOL227		Probability and Statistics-Lab	0	0	2	1	CC
TOTAL CREDITS							20

Semester 3

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc. (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: III
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Type of Course
								1. CC
								2. DSE
								3. OE
								4. SEC
								5. AECC
				L	T	P		6. Audit Course
THEORY SUBJECTS
1	BCO329		Machine Learning	5	0	0	5	CC
2	BCO154		Principles of Data Base Management System	3	0	0	3	CC
3	BCO156		Object Oriented Programming Using Java	3	0	0	3	DSE
4	BCO330 BCO331		Open Elective III	3	0	0	3	OE
			Introduction to Blockchain Technology
			Cyber Analytics
5	BCO322		Software Engineering and Quality Assurance	3	0	0	3	SEC
6	ARP209		Logical Skills Building and Soft Skills	2	0	0	2	AECC
Practical/Viva-Voce/Jury
7	BOL154		Principles of Data Base Management System-Lab	0	0	2	1	CC
8	BOL156		Object Oriented Programming Using Java-Lab	0	0	2	1	DSE
9	RBL001		Research Based Learning-1	0	0	2	0	Audit Course
TOTAL CREDITS							21

Semester 4

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc. (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: IV
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Type of Course
								1. CC
								2. DSE
								3. OE
								4. AECC
				L	T	P		5. Audit Course
THEORY SUBJECTS
1	BCO401		Deep Learning	5	0	0	5	CC
2	BCO155		Operating System and Unix Shell Programming	3	0	0	3	CC
3	BCO220		Application based Programming in Python	4	0	0	4	DSE
4	BCO402 BCO 403		Open Elective-IV	3	0	0	3	OE
			Data Warehousing and Data Mining
			Social Media Analytics
5	ARP210		Quantitative and Qualitative Aptitude Skill Building	2	0	0	2	AECC
Practical/Viva-Voce/Jury
6	BOL155		Operating System and Unix Shell Programming -Lab	0	0	2	1
7	BOL220		Application based Programming in Python -Lab	0	0	2	1	DSE
8	RBL002		Research Based Learning-2	0	0	2	0	Audit Course
TOTAL CREDITS							19

Semester 5

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc. (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: V
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits	Type of Course
								1. CC
								2. DSE
				L	T	P		3. INTERNSHIP
THEORY SUBJECTS
1	BCO225		Introduction to R	4	0	0	4	CC
2	BCO221		Computer Networks and Data Communication	4	0	0	4	CC
3	BCO501		Natural Language Processing	5	0	0	5	CC
4	BRM002		Research Methodology	3	0	0	3	DSE
Practical/Viva-Voce/Jury
5	BOL225		Introduction to R-Lab	0	0	2	1	CC
6	RBL003		Research Based Learning-3	0	0	4	2	RBL
7	INC003		Industry Connect	0	0	2	1	INTERNSHIP
TOTAL CREDITS							20

Semester 6

Programme Structure
Sharda School of Engineering & Technology
Department of Computer Science & Applications
B.Sc. (Artificial Intelligence- Machine Learning )
Batch: 2023-26							SEMESTER: VI
S. No.	Course Code	Paper ID	Course	Teaching Load			Credits		Type of Course
									1. CC
									2. OE
									3. DSE
				L	T	P			4. VAC
THEORY SUBJECTS
1	BCO601		Artificial Neural Networks	4	0	0	4		CC
2	BCO602		Computer Vision	5	0	0	5		CC
3	BCO603		Predictive Analytics	5	0	0	5		CC
4	BCO604 BCO605		Open Elective -V	3	0	0	3		OE
			Information Security and Cyber Laws
			Big Data Analytics
Practical/Viva-Voce/Jury
5	RBL004		Research Based Learning-4	0	0	4	2		DSE
6	CCU108		Community Connect	0	0	2	1	Qualifying Course	VAC
TOTAL CREDITS							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% marks. Mathematics/Statistics/Computer/Information Science being one of the subjects
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.

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