B.Sc - Artificial Intelligence & Machine Learning - Online

Build the Skills for Tomorrow's AI-Driven World

Earn a B.Sc. Degree from IIIT Vadodara

Learn from IIIT Vadodara Faculty

Flexible Online Learning Environment

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B.Sc - Artificial Intelligence and Machine Learning - Online

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Course Duration:

3 Years
1st Semester Fees:

₹55,100
Mode of Learning:

Online
Medium of Instruction:

English
Schedule :

Mon-Friday : 6:30PM-9:30PM

Saturday : 9:00AM-3:30PM

Sunday : 9:00AM-10:00AM

Artificial Intelligence and Machine Learning are transforming the way businesses operate, decisions are made and innovations are built. The B.Sc. in Artificial Intelligence & Machine Learning from IIIT Vadodara provides learners with a strong foundation in programming, machine learning, data science and intelligent systems through a curriculum designed for the future of technology.

Designed for flexibility, the Program enables learners to pursue a degree from IIIT Vadodara while balancing their academic, personal or professional commitments.

Program Objectives

01
Gain comprehensive knowledge of the theoretical principles and practical methodologies behind Artificial Intelligence and Machine Learning.
02
Learn to create intelligent systems and solutions capable of solving complex problems across various domains, from business to healthcare.
03
Learn how to integrate AI and ML with other fields such as computer science, engineering, business, and healthcare to develop well-rounded solutions.
04
Develop advanced problem-solving and analytical skills, enabling you to apply AI and ML techniques to real-world challenges with confidence.
05
Master programming languages and AI/ML tools and frameworks, ensuring you're equipped to design, implement, and evaluate advanced AI and ML solutions.

Benefits of the Program

Graduate from IIIT Vadodara

Earn a B.Sc. degree from an Institute of National Importance, recognised for academic excellence and innovation.

Learn from IIIT Vadodara Faculty

Build a strong academic foundation through faculty-led instruction and a future-focused AI & ML curriculum.

Flexible Learning Experience

Attend live online sessions and access recorded learning resources, allowing you to learn at your own pace while balancing other commitments.

Industry-Relevant Curriculum

Study emerging technologies including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI.

Future-Ready Skills

Develop the technical knowledge and analytical skills required to pursue opportunities in the rapidly evolving AI ecosystem.

Program Certificate

Course Eligibility:

For Indian Applicants

Class 12 or equivalent (list of equivalents)
The final examination of the 10+2 system, conducted by a Central or State Board recognized by the Association of Indian Universities (AIU).
Intermediate or two-year Pre-University examination conducted by a Board or University recognized by the Association of Indian Universities.
Final examination of the two-year course of the Joint Services Wing of the National Defence Academy.
Senior Secondary School Examination conducted by the National Institute of Open Schooling with a minimum of five subjects.
Any Public School, Board or University examination in India or in a foreign country recognised as equivalent to the 10+2 system by the AIU.
H.S.C. vocational examination.
A Diploma recognized by the All India Council for Technical Education (AICTE) or a State Board of Technical Education of at least 3 years duration.
General Certificate Education (GCE) examination (London, Cambridge or Sri Lanka) at the Advanced (A) level.
High School Certificate Examination of the Cambridge University or International Baccalaureate Diploma of the International Baccalaureate Office, Geneva.
Candidates who have completed Class XII (or equivalent) examination outside India or from a Board not specified above should produce a certificate from the AIU to the effect that the examination they have passed is equivalent to the Class XII examination.
In case the Class XII examination is not a public examination, the candidate must have passed at least one public (Board or Pre-University) examination earlier.

For International Applicants

For International Applicants Only: If an applicant has obtained their senior secondary/high school education from an institution located outside of India: they must provide an Equivalence Certificate issued by the Association of Indian Universities - which recognises their senior secondary/high school education as equivalent to Class 12 certificate issued from a recognised central or state board in India.
The process to apply for an equivalence Certificate is detailed here
(https://www.aiu.ac.in/evaluation.php)
To apply for Equivalence, students must start by applying here
(https://evaluation.aiu.ac.in/Student/login/)
If an applicant’s educational documents (mark sheets and certificates) were issued in a language other than English: they must provide copies of such documents translated into English by a sworn translator.

Program Highlights

3-Year Undergraduate Program
Graduate from IIIT Vadodara
Innovative Research Opportunities
Flexible Online Learning
Live Faculty Sessions
Learn from IIIT Vadodara Faculty

Course Structure

Semester I

Course Code	Course Name
BSCAIML 101	Introduction to Computer and Problem-Solving Techniques
BSCAIML 102	Programming Lab
BSCAIML 103	Fundamental of Artificial Intelligence
BSCAIML 104	Environmental Sustainability and Climate Change
BSCAIML 105	Introduction to IoT
BSCAIML 106	Communication Skill - 1
BSCAIML 106	Ethics and Social Implications of AI

Semester II

Course Code	Course Name
BSCAIML 201	Object Oriented Programming
BSCAIML 202	Object Oriented Programming Lab
BSCAIML 203	Probability and Statistics
BSCAIML 204	Computer Organization and Architecture
BSCAIML 205	Elective
BSCAIML 206	Elective Lab
BSCAIML 206	Communication Skill - 2
Elective
BSCAIML 207	Web Analytics
BSCAIML 208	Web Analytics Lab
BSCAIML 209	Advance MS-Office
BSCAIML 210	Advance MS-Office Lab

Semester III

Course Code	Course Name
BSCAIML 301	Data Structures and Algorithms
BSCAIML 302	Data Structures and Algorithms Lab
BSCAIML 303	Python Programming
BSCAIML 304	Python Programming Lab
BSCAIML 305	DBMS
BSCAIML 306	DBMS Lab
BSCAIML 307	Introduction to Software Engineering
BSCAIML 308	Human Values and Ethics
BSCAIML 309	Seminar

Semester IV

Course Code	Course Name
BSCAIML 401	Computer Networks
BSCAIML 402	Computer Networks Lab
BSCAIML 403	Introduction to Operating System
BSCAIML 404	Exploratory Data Analysis and Visualization
BSCAIML 405	Exploratory Data Analysis and Visualization Lab
BSCAIML 406	Fundamental of Machine Learning
BSCAIML 407	Internship / Project

Semester V

Course Code	Course Title
BSCAIML 501	Machine Learning Techniques
BSCAIML 502	Machine Learning Techniques Lab
BSCAIML 503	Basics of Natural Language Processing
BSCAIML 504	Research Methodology
BSCAIML 505	Elective
BSCAIML 506	Elective Lab
BSCAIML 507	Mini Project
Elective
BSCAIML 508	Artificial Neural Networks
BSCAIML 509	Artificial Neural Networks Lab
BSCAIML 510	Big Data
BSCAIML 511	Big Data Lab Lab
BSCAIML 512	Data Mining
BSCAIML 513	Data Mining lab
BSCAIML 514	IoT
BSCAIML 515	IoT Lab

Semester VI

BSCAIML 601	Deep Learning Techniques
BSCAIML 602	Deep Learning Techniques Lab
BSCAIML 603	Elective - 1
BSCAIML 604	Elective - 2
BSCAIML 605	Major Project
Elective
BSCAIML 606	Computer Vision
BSCAIML 607	Cyber Security
BSCAIML 608	Cloud Computing
BSCAIML 609	AI in Healthcare
BSCAIML 610	Introduction to R
BSCAIML 611	Information Security and Cyber Laws
BSCAIML 612	Predictive Analytics

Fee Structure

Fees Components	Sem I	Sem II	Sem III	Sem IV	Sem V	Sem VI
Caution Deposit (Refundable)	10000	10000	-	-	-	-
I Card Fee (One time)	100	-	-	-	-	-
Institute Development Contribution (IDC) (One time)	-	-	-	-	-	-
Tuition Fee	37500	37500	37500	37500	37500	37500
Campus Immersion Fee (optional)	3000	-	-	-	-	3000
Institute Registration Fees	1000	1000	1000	1000	1000	1000
Alumni Fee	1000	1000	1000	1000	1000	1000
Convocation Fee	1000	1000	1000	1000	1000	1000
Life Insurance*	100		100		100
Medical Insurance*	1400		1400		1400
Total	55100	50500	42000	40500	42000	43500
Note: Campus Immersion is optional and fees are applicable to those who attend the program All fees are non-refundable. Additional fees may be incurred in case of repetition of courses. You have the option to learn at your own pace and can also register for fewer courses than prescribed in a given semester.

EMI Starting From Rs.8,969

Apply Now

Program Outcomes:

Build a strong foundation in Artificial Intelligence, Machine Learning, programming and computational thinking.
Develop AI and Machine Learning solutions using modern tools and technologies.
Apply analytical thinking to solve practical problems using intelligent systems.

Explore emerging AI technologies and their applications across industries.
Develop research, innovation and problem-solving capabilities.
Understand ethical and responsible AI practices.

Admission Process

Online Application

Payment of Application Fees
(Non Refundable)

Document Verification

Payment of Admission Fees

Acknowledgement

FAQs

The program provides an in-depth understanding of AI and ML, focusing on theoretical foundations and applications to develop intelligent systems.

Applicants need 10+2 in Science with a minimum of 60% and a valid score in recognized national or international entrance exams. Relaxations are available for specific categories.

Students will master algorithms, data structures, statistical methods, computational theory, and frameworks covered under a B.Sc. in Artificial Intelligence and Machine Learning.

Graduates will be proficient in programming languages, software development, and designing solutions as part of their B.Sc. Artificial Intelligence and Machine Learning training.

The curriculum integrates cross-functional business knowledge with computer technologies to solve real-world problems, making the B.Sc. in AI and ML program highly industry-oriented.

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B.Sc - Artificial Intelligence & Machine Learning - Online