B.Sc Artificial Intelligence & Data Science Eligibility Criteria – Qualification, Subjects & Minimum Marks

Introduction

The B.Sc. Artificial Intelligence and Data Science eligibility stipulates the eligibility of individuals to apply for this undergraduate technology course and under what circumstances. The students should be aware of such requirements in order to prepare the required academic qualifications before applying.

The eligibility criteria used by most universities are basically similar, but there are slight variations between the various institutions. The requirements will make sure that the students possess the most fundamental knowledge of mathematics and science to learn artificial intelligence, programming, and data analysis.

Table of Contents

• Basic Eligibility Criteria
• Requirements in terms of educational qualification.
• Minimum Marks Requirement
• Subject Requirements (Preference to Mathematics)
• Admission Test/Merit-Based Qualification.
• Stream Requirements
• Age Limit Criteria
• Lateral Entry Eligibility (Where Applicable)
• Overview Summary Table
• FAQs
• Conclusion

Basic Eligibility Criteria

Basic requirements in terms of eligibility are required to apply to B.Sc. Artificial Intelligence and Data Science, which depend on the eligibility set by the colleges and universities.

The overall eligibility conditions are:

• Passing a 10+2 or equivalent examination.
• Education by an established educational board.
• Passing the minimum percentage in the qualifying exam.
• Cleaning up entrance examinations where applicable by the institution.

The conditions guarantee that students already possess the academic background to learn artificial intelligence and data science on the undergraduate level.

Educational Qualification Requirements

Before students can apply to this programme, they have to complete higher secondary.

The major academic qualification criteria are:

• 10+2 in a recognised board.
• Students of CBSE, ICSE or state boards are welcome.
• Students who are in their final 12th exams are also allowed to apply to most colleges.

This makes sure that the students joining the programme have basic schooling in the relevant subjects.

Minimum Marks Requirement

The majority of colleges set certain minimum percentages of the 10+2 exams required from the students.

The common requirements are:

• Around 50%–60% aggregate marks in 10+2
• Mark relaxation in categories that are reserved in nature according to the government norms.
• There are reputed institutions that might demand more percentages.

Minimal marks requirements are used to preserve the quality of academics and make sure that students are able to cope with technical coursework.

Preference for Mathematics Subject Requirements.

Mathematics is a significant subject of artificial intelligence/data science.

The general requirements are:

• In 10+2, mathematics is often compulsory or highly desirable.
• Students of the science stream taking mathematics are easily acceptable.
• Computer science may also be an added requirement in some universities, or statistics.
• Students should be at home with the numbers and analytics.

The solid background in mathematics can enable the acquisition of the concepts of programming, machine learning, and data analysis.

First Examination / Merit-Based Eligibility.

B.Sc. Artificial Intelligence & Data Science can be offered admission by various means.

There are the typical modes of admission:

• Merit-Based Admission: Admission by 10+2 marks.
• Entrance Exam-Based Admission: There are other universities which administer their own entrance tests or national exams.

The procedure of the actual admission is based on the policies of the specific institutions.

Stream Requirements

This course can be applied by students of various academic streams provided that they satisfy the subject requirements.

Stream eligibility typically consists of:

• Most eligible are science students who have mathematics.
• Students of commerce who took mathematics can also apply.
• Other students in various streams with mathematics could also be taken into consideration in some universities.

This gives flexibility to the students who have strong backgrounds in analysis to take the course.

Age Limit Criteria

The B.Sc. Artificial Intelligence and Data Science age requirements are not very strict.

Common needs of the age include:

• Age should be about 17 years at admission.
• Most universities have no age limit, usually.
• Certain institutions might be of a certain age.

The applicants must also review the official admission policies of the college to which they are applying.

Lateral Entry Eligibility (As Applicable)

B.Sc. Artificial Intelligence and Data Science has limited lateral entry options, which can be found in particular institutions.

This may apply to:

• Students who have transferred to other programmes in computer science or technology, such as computing, computer technology, etc.
• Applicants that hold diploma courses in related technical disciplines.
• Admission on university terms and subject to a seat.

Lateral entry enables the programme to have eligible students enrol in the program without repeating the previous years of study.

Overview Summary Table

Frequently asked questions – B.Sc. Artificial Intelligence and Data Science eligibility.

Conclusion

B.Sc. Artificial Intelligence and Data Science eligibility requirements will be such that the students possess an excellent academic background, particularly in mathematics and subjects that require analysis. Satisfaction with these requirements enables students to join a highly dynamic career sector with promising career prospects in artificial intelligence, data science, and modern technology sectors. The proper preparation and academic background will allow the students to start their successful career in one of the most demanded areas of technology.