BE (Artificial Intelligence and Data Science)
Discover everything you need to know about AI and Data Science courses, including application details, eligibility, fees, job prospects, and university rankings.
Course Overview
BE (Artificial Intelligence and Data Science)
B.E. (Artificial Intelligence and Data Science) stands for Bachelor of Engineering in Artificial Intelligence and Data Science. It is an undergraduate program that focuses on providing students with a strong foundation in both artificial intelligence and data science, preparing them for careers in fields such as machine learning, data analysis, and artificial intelligence research. The program typically covers topics such as programming, algorithms, data mining, machine learning, natural language processing, and statistical analysis.
Artificial Intelligence
Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI aims to create machines that can perform tasks that typically require human intelligence.
Data Science
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines expertise in statistics, mathematics, programming, domain knowledge, and data visualization to analyze and interpret complex data sets.
Eligibility Criteria for BE in Artificial Intelligence and Data Science in India
Educational Qualifications: Candidates must have completed their higher secondary education (10+2) from a recognized board.
Minimum Marks: Typically, candidates are required to have a minimum aggregate of 50-60% in their qualifying examination.
Entrance Exams: Admission may be based on national/state-level entrance exams like JEE Main, BITSAT, or specific university entrance exams.
Merit-Based Selection: Some institutions may also offer admission based on merit obtained in the qualifying examination.
Age Limit: Generally, candidates should be between 17 to 25 years of age. However, age criteria can vary among different institutions.
Nationality: Indian nationals are usually eligible to apply. Some institutions may also allow foreign nationals or NRIs under specific quotas.
Specific Requirements: Some universities may have additional requirements such as a background in mathematics, computer science, or related subjects.
Note: It is important for candidates to check the specific eligibility criteria of the institution they are interested in applying to as requirements may vary.