Bachelor of Science (B.Sc.) AI and ML

Ready to dive into the exciting of AI and ML? Creating a roadmap for your Bachelor of Science (B.Sc.) in AI and ML can help you stay organized and focused throughout the year. Here’s a comprehensive guide to steer your studies, ensuring you cover all the essential topics while balancing your coursework and projects. Let’s make your learning journey smooth and enjoyable.

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The key eligibility criteria across India for a Bachelor of Science (B.Sc.) in Artificial Intelligence and Machine Learning (AI and ML) require passing Class 12, securing minimum aggregate marks, and studying specific subjects. 

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Educational and Subject Requirements

• Class 12 Pass: Must complete 10+2 (Higher Secondary) from a recognized state, national board (like CBSE or ICSE), or an equivalent diploma. 

• Core Subject: Mathematics is heavily preferred or required as a compulsory subject in Class 12 by most institutions. 

• Stream Focus: Science stream (PCM/PCM-Computer Science) is standard, though select modern universities also accept students from other streams if they have strong backgrounds in math or statistics

Marks and Selection Process

• Minimum Aggregate: Usually 50% to 60% overall marks in the qualifying 10+2 examination (often relaxed to 45% for reserved category students). 

• Admission Mode: Primarily merit-based on Class 12 board scores, though some autonomous colleges or universities conduct their own entrance tests or accept national/state-level computer science aptitude assessments.