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B.Sc - Artificial Intelligence & Machine Learning

Classes at Gandhinagar Campus
AI Labs & Practical Learning
Industry Projects & Internship Pathways
Placement Assistance
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Last Date to Apply: 13th January, 2026 | 2nd Cohort of B.Sc. AI & ML Begins: 13th January 2026

  • Course Duration:

    3 Years

  • 1st Semester Fees:

    ₹1,15,100

  • Mode of Learning:

    Online

  • Medium of Instruction:

    English

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

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.

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.

THE IIIT VADODARA LEARNING EXPERIENCE

A well-rounded academic experience that combines 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.

IIIT Vadodara Learning Experience
  • Classes at Gandhinagar Campus
  • Practical lab reinforcement
  • Project-based learning
  • Peer learning and group discussions
  • Soft-skills and career guidance
  • Internship pathways and placement assistance

Program Certificate

Sample Certificate for B.Sc. in AI & ML

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 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
  • Classes at Gandhinagar Campus
  • 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
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

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

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

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

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

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

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) 10000 10000 - - - -
I Card Fee (One time) 100 - - - - -
Institute Development Contribution (IDC) (One time) - - - - - -
Tuition Fee 37500 37500 37500 37500 37500 37500
Campus Fee 60000 60000 60000 60000 60000 60000
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 115100 110500 102000 100500 102000 103500
Note:
  • All fees are non-refundable.
  • Food and lodging costs are to be borne by the learners.
  • Campus Immersion is optional. Applicable fees will apply to students who choose to participate. The immersion will be conducted at the IIIT Vadodara–International Campus, Diu.
  • 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

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
Online Application
Payment of Application
Payment of Application Fees
(Non Refundable)
Document Verification
Document Verification
Acknowledgement
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.

The Program combines IIIT Vadodara's academic curriculum with structured classroom sessions at Gandhinagar, practical learning, AI labs, project-based learning and career guidance to provide a well-rounded learning experience.

Structured classroom sessions will be conducted at Government Engineering College (GEC), Sector-28, Gandhinagar, Gujarat, providing students with an engaging environment for collaborative learning and practical application.

The detailed academic schedule will be designed by the Program faculty and shared with students prior to the commencement of the batch. Classroom sessions will be conducted as per the Program timetable.

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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