B.Sc - Artificial Intelligence & Machine Learning - Blended Online Program
Blended Online Program with classes at the Gandhinagar Learning Center
AI Labs & Practical Learning
Industry Projects & Internship Pathways
Placement Assistance
Last Date to Apply: 13th January, 2026 | 2nd Cohort of B.Sc. AI & ML Begins: 13th January 2026
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Course Duration:
3 Years
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1st Semester Fees:
₹1,15,100
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Mode of Learning:
Blended Online
Tailored for aspiring tech professionals, the program equips learners with the skills to develop intelligent systems capable of solving complex, real-world challenges across diverse domains. Graduates will gain expertise in AI and ML concepts, algorithms, and programming frameworks while fostering analytical and problem-solving abilities. This program also emphasizes ethical and societal considerations, preparing students to responsibly innovate and make a meaningful impact in the fast-evolving world of AI and ML.
Program Objectives
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01
Gain comprehensive knowledge of the theoretical principles and practical methodologies behind Artificial Intelligence and Machine Learning.
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02
Learn to create intelligent systems and solutions capable of solving complex problems across various domains, from business to healthcare.
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03
Learn how to integrate AI and ML with other fields such as computer science, engineering, business, and healthcare to develop well-rounded solutions.
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04
Develop advanced problem-solving and analytical skills, enabling you to apply AI and ML techniques to real-world challenges with confidence.
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05
Master programming languages and AI/ML tools and frameworks, ensuring you're equipped to design, implement, and evaluate advanced AI and ML solutions.
Key Benefits of Bachelor of Science in Artificial Intelligence and Machine Learning
Master the Core Concepts of AI and ML
Gain a deep understanding of artificial intelligence and machine learning principles, including algorithms, data structures, and computational theory. These foundational concepts will enable you to tackle real-world challenges with innovative AI-driven solutions.
Practical Expertise with Cutting-Edge Tools
Become proficient in programming languages and AI/ML frameworks that are critical in developing intelligent systems. You'll gain hands-on experience in tools that will empower you to build and implement AI/ML solutions across various applications.
Develop Critical Problem-Solving Skills
Equip yourself with the skills to analyze complex problems and develop effective AI and ML solutions by applying advanced mathematical, computational, and analytical methods. You'll be prepared to solve pressing challenges in diverse industries.
Understand Ethical, Legal, and Societal Implications
Develop a deep understanding of the ethical, legal, and societal implications of AI and ML technologies. You will be equipped to ensure your professional practice adheres to ethical standards and promotes positive social impact.
Expert Faculty and Industry Insights
Learn from expert faculty members and industry professionals who bring both academic knowledge and practical insights into the classroom. This exposure will help you understand how AI and ML are transforming industries globally.
Choose Your Learning Centre
THE IIIT VADODARA LEARNING EXPERIENCE
A well-rounded academic experience that combines online and classroom learning, practical exposure and collaborative engagement to help students develop the knowledge, skills and confidence required to thrive in the rapidly evolving field of Artificial Intelligence and Machine Learning.
- Blended Online Program with classes at the Gandhinagar Learning Center
- Practical lab reinforcement
- Project-based learning
- Peer learning and group discussions
- Soft-skills and career guidance
- Internship pathways and placement assistance
Mumbai Learning Centre Details Coming Soon
Information regarding classroom facilities, schedules, and location for the Mumbai Learning Centre will be updated shortly.
Program Certificate
Course Eligibility:
For Indian Applicants
- Class 12 or equivalent (list of equivalents)
- Candidates with a valid JEE score may apply directly. Candidates without a JEE score will be required to appear for an online entrance test.
- 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
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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
- Earn a Prestigious B.Sc. Degree from IIIT Vadodara
- Learn from IIIT Vadodara Faculty & Industry Experts
- Blended Online Program with classes at the Gandhinagar Learning Center
- AI Labs & Guided Practical Learning
- Industry-Aligned AI & ML Curriculum
- Internship Pathways & Placement Assistance
- Build AI & ML Solutions Using Industry-Standard Tools
- Work on Real-World Industry Projects
Course Structure
Semester I
| Course Code | Course Name |
|---|---|
| MA101 | Mathematics - I (Discrete Mathematics) |
| SC101 | Environment Sustainability and Climate Change |
| IK101 | Introduction to Yoga |
| HS101 | Spoken and Written Communication |
| CS101 | Introduction to Artificial Intelligence |
| CS161 | Computer System Tools |
| CS103 | Computer Programming and Problem Solving (C) |
| CS163 | Computer Programming and Problem Solving Lab |
Semester II
| Course Code | Course Name | |
|---|---|---|
| MA102 | Mathematics-II (Linear Algebra) | |
| IK102 | Introduction to Vedic Mathematics | |
| CS112 | Data Visualization and Analytics (Python) | |
| CS104 | Operating Systems | |
| CS106 | Introduction to Data Structures | |
| CS166 | Introduction to Data Structures Lab | |
| CS108 | Object Oriented Programming (Java) | |
| CS168 | Object Oriented Programming Lab | |
| 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 |
|---|---|
| MA201 | Mathematics - III (Probability and Statistics) |
| MG201 | Introduction to Entrepreneurship |
| CS201 | Design and Analysis of Algorithms |
| CS261 | Design and Analysis of Algorithms Lab |
| CS203 | Database Management Systems |
| CS263 | Database Management Systems Lab |
| CS205 | Computer Organization and Architecture |
| CS265 | Computer Organization and Architecture Laboratory |
Semester IV
| Course Code | Course Name |
|---|---|
| MA204 | Mathematics - IV (Optimization Methods) |
| CS202 | Machine Learning |
| CS262 | Machine Learning Lab |
| CS204 | Software Engineering |
| CS264 | Software Engineering Lab |
| CS206 | Artificial Intelligence |
| CS266 | Artificial Intelligence Lab |
| CS268 | Statistics in R |
| CS208 | Web Technology and DevOps |
Semester V
| Course Code | Course Name | |
|---|---|---|
| CS301 | Deep Learning | |
| CS303 | Introduction to Robotics | |
| CS305 | Natural Language Processing | |
| CS311 | AI-ML Ops | |
| CS309 | Image and Video Processing | |
| HS301 | Artificial Intelligence and Ethics | |
| PI301 | Summer Internship/ Training | |
| 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
| Course Code | Course Name | |
|---|---|---|
| CS302 | Reinforcement Learning | |
| PI302 | B.Sc. 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 | |
Program Outcomes:
- Build a strong foundation in Artificial Intelligence, Machine Learning, programming, algorithms, data structures and computational thinking.
- Design, develop and evaluate AI and Machine Learning solutions using industry-relevant tools, technologies and frameworks.
- Apply analytical and problem-solving skills to address real-world challenges through intelligent and data-driven solutions.
- Explore emerging AI technologies and research methodologies while staying current with advancements in the field.
- Apply AI and Machine Learning concepts across diverse domains, including business, healthcare, finance, engineering and manufacturing.
- Understand the ethical, legal and societal implications of AI and Machine Learning to develop responsible and trustworthy solutions.
Fee Structure
| Fees Components | Sem I | Sem II | Sem III | Sem IV | Sem V | Sem VI | ||
| Caution Deposit (Refundable) | 10,000 | 10,000 | - | - | - | - | ||
| I Card Fee (One time) | 100 | - | - | - | - | - | ||
| Institute Development Contribution (IDC) (One time) | - | - | - | - | - | - | ||
| Tuition Fee | 37,500 | 37,500 | 37,500 | 37,500 | 37,500 | 37,500 | ||
| Learning Center Fee | 60,000 | 60,000 | 60,000 | 60,000 | 60,000 | 60,000 | ||
| Campus Immersion Fee (optional) | 3,000 | - | - | - | - | 3,000 | ||
| Institute Registration Fees | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | ||
| Alumni Fee | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | ||
| Convocation Fee | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | ||
| Life Insurance* | 100 | 100 | 100 | |||||
| Medical Insurance* | 1,400 | 1,400 | 1,400 | |||||
| Total | 1,15,100 | 1,10,500 | 1,02,000 | 1,00,500 | 1,02,000 | 1,03,500 | ||
Note:
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Career Pathways
Turn Your Learning into Limitless Possibilities
From higher education to emerging technology careers, this Program equips you with the skills to pursue opportunities across the rapidly evolving AI and Machine Learning ecosystem.
M.Tech. / M.Sc. Pathways
Data Analyst
AI & Machine Learning Associate
Python Developer
Business Intelligence Analyst
AI Application Developer
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 online and theoretical
foundations with 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.
The Program combines IIIT Vadodara's academic curriculum with online and structured classroom sessions
at
Gandhinagar, practical learning, AI labs, project-based learning and career guidance to provide a
well-rounded learning experience.
The program combines IIIT Vadodara’s academic curriculum with online and structured classroom sessions
at
Learning Centres in Gandhinagar and Mumbai, along with practical learning, AI labs, project-based
learning and career guidance to provide a well-rounded learning experience.
The program combines online classes with structured classroom sessions at designated Learning Centres
in Gandhinagar and Mumbai, providing students with an engaging environment for collaborative learning
and practical application.
The program is complemented by career counselling, industry engagement, internship pathways and
placement assistance to help learners prepare for professional opportunities in AI and Machine
Learning.
Yes, EMI options are available as per the current program payment process. For EMI facility, please
contact the IIIT Vadodara admissions team on 9240205842 or email us at admission@iiitvonline.com
Candidates with a valid JEE score may apply directly. Candidates without a JEE score will be required
to appear for an online entrance test.
Batch Orientation - 2025
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