B.Tech.
(Artificial Intelligence & Data Science)

  1. Duration - 4 years
  2. Eligibility -  Passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
  3. Overview - B. Tech Artificial Intelligence and Data Science curriculum comprises 8 semesters of 6 month time period each. Through the study of topics like Data Structures & Algorithms, Software Engineering, Computer Networks, etc., the program focuses on important Artificial Intelligence and Data Science concepts. The advanced AI ideas covered in the B. Tech Artificial Intelligence and data science curriculum are explored through the study of topics like Database Systems, Cloud Computing, Big Data Analytics, Reinforcement Learning, etc. Artificial intelligence is a component of data science. The field of data science uses artificial intelligence in its daily operations. The foundation of data science and artificial intelligence is based on machine learning.

Scope and Career opportunities

B Tech Artificial Intelligence career options are based on a computer machine science and engineering capability of performing activities that typically involve human intelligence, such as visual perception, speech recognition, decision-making, and language processing. A computer science division that majorly aims in the development of smart computer machines.

Machine Learning Engineer: Machine Learning Engineers study and transform data science prototypes. They research and implement appropriate Machine Learning algorithms and tools perform statistical analysis and draft them using test results.

Artificial Intelligence Engineer: An artificial intelligence engineer is responsible for understanding the market issues, identifying and applying the right AI or cognitive computing technologies to solve problems and requiring recipes for commercial application in the formulation and implementation of technologies.

Data Scientist: Data Scientists enhance data collection procedures to include information that is relevant for building analytic systems. The process, of cleaning, and verifying the integrity of data used for analysis. They also select features, building and optimising classifiers using machine learning techniques.

Data Analyst: Data analysts are professionals who use data analysis software to scrutinise details. By recognising different facts and patterns, the concrete conclusions that they derive from the raw data help their employers or clients make important decisions.

Top recruiters:

TCS

Amazon

Microsoft

Facebook

Cognizant

Reliance Jio

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