B. Tech Artificial Intelligence & Data Science
Duration
Eligibility
Eligibility Norms for Admission to B. Tech Programs:
Passed 10+2 examination with Physics/ Mathematics Compulsory along with Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
Eligibility Norms for Admission to B. Tech Programs (Lateral):
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in relevant branch of Engineering and Technology as mentioned in the AICTE APH 2024-25.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
Programme Overview
The Bachelor of Technology degree with a specialisation in Artificial Intelligence and Data Science (AI&DS) is a cutting-edge program that is becoming increasingly popular. This specialisation provides students with the skills and knowledge needed to build intelligent systems. This domain is being used in various industries such as healthcare, finance, retail, and transportation. Companies are looking for professionals who have expertise in artificial intelligence and data science who can help them implement AI-driven solutions to improve efficiency, accuracy, and decision-making. Students will develop a solid expertise in four essential domains: Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
Course Curriculum
Programme Educational Objectives
Programme Outcomes (POs)
Programme Specific Outcomes
Student handbook
Program Regulations
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USP
Career Opportunities
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AI Engineer
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Machine Learning Engineer
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Business Intelligence Analyst
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Data Analyst
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Data Engineer
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Data Scientist
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Reporting Analyst
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Research Executive
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AI Consultant