AI Enthusiasts
Ideal for students interested in artificial intelligence, automation, and emerging technologies.
Undergraduate at Madras University Online
Madras University Online
Bachelor of Science (B.Sc Artificial Intelligence) at Madras University Online
Study artificial intelligence, machine learning, deep learning, data science, robotics, natural language processing, and intelligent systems while developing technical, analytical, and problem-solving skills for careers in AI, automation, data analytics, and emerging technologies.
Comprehensive study of artificial intelligence and machine learning
Learn deep learning, neural networks, and intelligent systems
Study robotics, computer vision, and natural language processing
Extensive practical, laboratory, and project-based learning
Duration
3 Years
Full-time / Part-time options
Eligibility
10+2 with Mathematics as a compulsory subject from a recognized board.
Average Fees
₹30K – ₹5L
Program-wise
Mode
Full-time / Distance / Online
Overview
About Bachelor of Science (B.Sc Artificial Intelligence) at Madras University Online
Study artificial intelligence, machine learning, deep learning, data science, robotics, natural language processing, and intelligent systems while developing technical, analytical, and problem-solving skills for careers in AI, automation, data analytics, and emerging technologies.
B.Sc Artificial Intelligence is a three-year undergraduate program designed to provide students with a strong foundation in intelligent computing systems, machine learning algorithms, automation technologies, and advanced data analysis techniques.
Students gain practical experience through AI model development, machine learning projects, robotics applications, coding assignments, internships, and industry-oriented training. The curriculum combines computer science, mathematics, statistics, and artificial intelligence technologies to create intelligent solutions for real-world challenges.
Graduates can pursue careers in AI companies, technology firms, healthcare organizations, financial institutions, research centers, robotics industries, and startups focused on innovation and automation.
Who it's for
Who Should Choose This Course?
See if your goals align with how this program is structured.
Future Machine Learning Engineers
Suitable for learners interested in predictive modeling and intelligent systems.
Technology Innovators
Great for students passionate about creating advanced technological solutions.
Robotics Aspirants
Helpful for students planning careers in robotics, automation, and intelligent machines.
Career Outcomes
Where this program can take you
Build expertise in artificial intelligence, machine learning, and intelligent technologies while preparing for careers in automation, analytics, robotics, and digital innovation.
ABC
20K+ professionals upskilled already
Syllabus
Syllabus & Curriculum
Semester-wise breakdown of topics and learning modules.
- Introduction to Artificial Intelligence
- Programming Fundamentals
- Mathematics for AI
- Statistics
- Environmental Studies
Fees & Financing
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹30K – ₹5L
*Fees may vary across universities. Instalment plans shared after shortlisting.
Easy EMI Options Available
Scholarships Up to 30%
Education Loan Assistance
Need help planning your finances?
Our experts can guide you with the best options.
Admission
Admission Process
Simple steps to start your doctoral journey.
1
Apply Online
Submit your profile, academics, and intent with supporting documents.
2
Application Review
Our panel verifies eligibility and aligns you with the right cohort format.
3
Interview / Proposal Chat
Discuss research interests and career goals with faculty mentors.
4
Offer & Fee Plan
Receive admission decision with financing and instalment options.
5
Enrol & Onboard
Complete registration, join the cohort workspace, and start Semester 1.
FAQs
Frequently Asked Questions
Quick answers to common questions.
B.Sc Artificial Intelligence is a three-year undergraduate degree focused on intelligent systems, machine learning, deep learning, robotics, data analytics, and automation technologies.
Students who have completed 10+2 with Mathematics as a compulsory subject from a recognized board are generally eligible for admission.
Graduates can work as AI Engineers, Machine Learning Engineers, Data Scientists, Robotics Engineers, Computer Vision Engineers, and NLP Engineers.
Yes. Artificial Intelligence is among the fastest-growing fields globally, offering excellent opportunities in technology, healthcare, finance, robotics, cybersecurity, and research sectors.
Yes. Graduates commonly pursue M.Sc Artificial Intelligence, Machine Learning, Data Science, Robotics, Computer Science, MBA Analytics, and PhD programs.
Need personalised guidance?
Our expert counsellors can help you choose the right path based on your profile, goals & aspirations.
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