
BTech (AI and Data Science)
Explore our BTech in AI and Data Science program. Find course details, application forms, eligibility criteria, and career opportunities. Start your journey today!
Course Overview

BTech (AI and Data Science)
BTech (AI and Data Science) is an undergraduate program that focuses on the intersection of Artificial Intelligence (AI) and Data Science. It equips students with the knowledge and skills required to analyze large sets of data, develop AI algorithms, and create intelligent systems. The curriculum typically covers topics such as machine learning, deep learning, data mining, natural language processing, and statistical analysis. Graduates of this program are prepared for careers in fields such as data analysis, machine learning engineering, AI research, and data science.
AI (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.
Data Science
Data Science involves extracting insights and knowledge from structured and unstructured data. It combines various fields such as statistics, machine learning, data analysis, and domain expertise to interpret and analyze complex data.
Eligibility Criteria for BTech (AI and Data Science) in India
Educational Qualifications: Candidates must have completed their 10+2 education from a recognized board.
Minimum Marks: Typically, a minimum aggregate score of 50-60% in Physics, Chemistry, and Mathematics is required.
Entrance Exams: Admission may be based on national/state-level entrance exams like JEE Main, BITSAT, or other relevant exams.
Merit-Based Selection: Some institutes may also consider merit-based selection criteria in addition to entrance exam scores.
Age Limit: Generally, candidates should be between 17 to 25 years of age. However, age criteria can vary between institutions.
Nationality: Indian nationality is typically required for admission to BTech programs in India.
Specific Requirements: Some institutes may have specific requirements related to subjects studied in 10+2, such as having studied Mathematics and Physics.
Note: It's important to check the specific eligibility criteria of the institution you are applying to as requirements may vary.