About the Programme

The Bachelor of Computer Applications (BCA) 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 Computer Applications (BCA) 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 185000

2nd Year 190550

3rd Year 196267

1st Sem 95000	3rd Sem 97775	5th Sem 100633
2nd Sem 95000	4th Sem 97775	6th Sem 100633

For International Students

Fee Per Semester	Fee Per Year
NA	3200**

Programme Structure

Semester 1

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: I
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCCR1101	Fundamental of Computer & Web Technologies	3	0	0	3		CC
2	BCAI1301	Artificial Intelligence	3	0	0	3		IDC
3	BCAI1401	Introduction to IoT	2	0	0	2		SEC
4	SKP 1100	Communicative English-1	2	0	0	2		AEC
5	BCCR1901	Environmental Management	3	0	0	3		VAC
	OR
	BCCR1902	Ethics and Social Implications of AI	3	0	0
Practical/Viva-Voce/Jury
6	BCCR1501	Problem Solving using C Programming Lab	0	1	4	3	Basic Mathematics	CC
7	BCCR1502	Fundamental of Computer & Web Technologies Lab	0	0	2	1		CC
8	BCAI1501	Artificial Intelligence Lab	0	0	2	1		IDC
9	BCAI1504	Introduction to IoT with Hands-on Lab Implementation	0	0	2	1		SEC
TOTAL CREDITS						19

Semester 2

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: II
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCCR1302	Probability and Statistics	3	0	0	3		CC
2	Department Open Elective-I		3	0	0	3		OE
	BCAI1002	Introduction to Blockchain
	BCAI1003	Cyber Analytics
3	SKP 1200	Communicative English-2	2	0	0	2		AEC
4	BCCR1901	Environmental Management	3	0	0	3		VAC
	OR
	BCCR1902	Ethics and Social Implications of AI	3	0	0
Practical/Viva-Voce/Jury
5	BCCR1505	Principles of Data Structures Lab	0	1	4	3	Problem Solving using C Programming	CC
6	BCAI1502	Introduction to Blockchain Technology Lab	0	0	2	1		OE
6	BCAI1503	Cyber Analytics Lab	0	0	2	1		OE
7	BCCR1508	Application Based Programming in Python Lab	0	1	4	3		CC
8	BCCR1503	Design Thinking & Creative Learning Lab	0	1	4	3		SEC
9	NV61001	Foundation of Data Visualization with Tableau	3	0	0	0		VAT
TOTAL CREDITS						21

Semester 3

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: III
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCAI12004	Machine Learning	2	0	0	2		Minor
2	BCCR2102	Principles of Data Base Management System	3	1	0	4		CC
3	BRM002	Research Methodology & IPR	1	0	0	1		IDC
4	BCAI2105	Big Data Analytics	3	0	0	3		CC
5	Department Open Elective-II		2	0	0	2		OE
	BCAI2006	Mobile UI/UX Design
	BCAI2007	Introduction to Cloud Computing
6	BCAI2008	Augmented Reality Applications Development	2	0	0	2		SEC
Practical/Viva-Voce/Jury
7	BCAI2506	Mobile UI/UX Design Lab	0	0	2	1		OE
7	BCAI2507	Introduction to Cloud Computing Lab	0	0	2	1		OE
8	BCAI2504	Machine Learning Lab	0	0	2	1		Minor
9	BCCR2506	Principles of Data Base Management System Lab	0	0	2	1		CC
10	BCAI2508	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

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: IV
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCCR2103	Design and Analysis of Algorithm	3	1	0	4	Data Structures Using C	CC
2	BCAI2110	Data Analytics	3	1	0	4		CC
3	BCCR2105	Operating System and Unix Shell Programming	3	0	0	3		CC
4	Department Open Elective-III		2	0	0	2		OE
	BCAI2011	Social Media Analytics
	BCAI2012	Data Warehousing and Data Mining
	BCAI2013	Ethical Hacking & Penetration Testing
	BCAI2014	Cloud Infrastructure & Services
Practical/Viva-Voce/Jury
5	BCAI2511	Social Media Analytics Lab	0	0	2	1		OE
	BCAI2512	Data Warehousing and Data Mining Lab	0	0	2
	BCAI2513	Ethical Hacking & Penetration Testing Lab	0	0	2
	BCAI2514	Cloud Infrastructure & Services Lab	0	0	2
6	BCCR2511	Design and Analysis of Algorithm Lab	0	0	2	1	Data Structures Using C	CC
7	BCAI2510	Data Analytics Lab	0	0	2	1		CC
8	BCCR2513	Operating System and Unix Shell Programming 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

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: V
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCAI3115	Computer Networks and Data Communication	4	0	0	4	Object Oriented Programming	CC
2	BCCR3102	Software Engineering and Quality Assurance	4	0	0	4		CC
3	BCCR3301	Entrepreneurship Development	3	0	0	3		IDC
4	Department Open Elective-IV		4	0	0	4		OE
	BCAI3016	Computer Vision
	BCAI3017	Natural Language Processing
	BCAI3018	Network Security & Cryptography
	BCCR3101	Introduction to R
Practical/Viva-Voce/Jury
5	BCAI3515	Computer Networks and Data Communication Lab	0	0	2	1	Object Oriented Programming	CC
6	TSEC01	Technical Skill Enhancement Course & ndash I	0	0	2	1		CC
7	BCP465	Summer Internship	0	0	4	2		Internship
8	RBL003	Research Based Learning-3	0	0	2	0		AUDIT
9	BCAI3516	Computer Vision Lab	0	0	2	1		OE
	BCAI3517	Natural Language Processing Lab	0	0	2
	BCAI3518	Network Security & Cryptography Lab	0	0	2
	BCCR3501	Introduction to R Lab	0	0	2
TOTAL CREDITS						20
OR
1		Apprenticeship	0	0	40	20

Semester 6

Programme Structure
Sharda School of Computing Science & Engineering
Department of Computer Science & Applications
BCA AIML
Batch: 2026 Onwards						SEMESTER: VI
S. No.	Course Code	Course	Teaching Load			Credits	Pre-Requisite / Co-Requisite	Category
S. No.	Course Code	Course	L	T	P	Credits	Pre-Requisite / Co-Requisite	Category
THEORY SUBJECTS
1	BCAI3120	Dot Net Framework using C	3	0	0	3	Object Oriented Programming	CC
2	BCAI3121	Deep Learning	4	0	0	4	Python / R Programming	CC
3	Department Open Elective-V		3	0	0	3		OE
	BCCR3005	Full-Stack Development
	BCCR3006	AI for Data Science
	BCCR3007	Fundamental of Digital Forensics
	BCCR3008	Serverless Computing & DevOps in Cloud
Practical/Viva-Voce/Jury
4	BCAI3520	Dot Net Framework using C Lab	0	0	2	1	Object Oriented Programming	CC
5	BCAI3521	Deep Learning Lab	0	0	2	1	Python / R Programming	CC
6	TSEC02	Technical Skill Enhancement Course &ndash 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	BCCR3510	Full-Stack Development Lab	0	0	2	1		OE
	BCCR3511	AI for Data Science Lab	0	0	2
	BCCR3512	Fundamental of Digital Forensics Lab	0	0	2
	BCCR3513	Serverless Computing & DevOps in Cloud Lab	0	0	2
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 55% marks.
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

BCA - Artificial Intelligence and Machine Learning