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Technology @ JIET Institute of Design and Technology

Embrace an Advanced Tomorrow!
Technology is changing at fast pace. The Artificial Intelligence, Data Science, Machine learning are among the disruptive digital technologies that are poised to grow tremendously in the coming decade. Considering the vast scope of application of these futuristic technologies, we have introduced B.Tech. in these specialized domains to prepare future ready global professionals.

All India Council for Technical Education (AICTE)
Bikaner Technical University (BTU)

Courses Offered

Bachelor of Technology
Artificial Intelligence
Machine Learning and Computing
Data Science

Career Scope

The last few decades have seen exponential growth in the field of Artificial Intelligence (AI). Artificial Intelligence is a sub-branch of Computer science. Technically, it is the science that helps develop computer machines that mimic human intelligence. Thus, these machines will be able to visually perceive things, recognize and differentiate speech, make decisions, translate between languages and so much more.
With more people being drawn to the idea of Artificial Intelligence, people are now seeing a prospective career in the field of AI. However, before you can do so, it is always a good thing to analyze the scope and future of AI. That being said, the scope of AI in India is pretty significant as the ultimate aim is to create computer programs that can tackle different problems and provide goal-oriented solutions efficiently. Thus, there is a scope for computer vision, game development, speech recognition, robotics, and language detection.
Machine Learning is currently one of the hottest topics in IT.. Technologies such as digital, big data, Artificial Intelligence, automation and machine learning are increasingly shaping future of work and jobs. is a specific set of techniques that enable machines to learn from data, and make predictions.
Machine Learning is one of the hottest career choices today. AI will create 2.3 million Machine Learning jobs by 2020, according to a recent report from Gartner. LinkedIn’s 2017 U.S. Emerging Jobs Report shows there are 9.8 times more Machine Learning Engineers working today than five years ago with 1,829 open positions listed on their site as of early 2018. Both Data Science and Machine Learning are generating more jobs than candidates right now, making these two areas the fastest growing tech employment areas today.
Data Science as a multi-disciplinary subject encompasses the use of mathematics, statistics, and computer science to study and evaluate data. The key objective of Data Science is to extract valuable information for use in strategic decision making, product development, trend analysis and forecasting. Data Science concepts and processes are mostly derived from data engineering, statistics, programming, social engineering, data warehousing, machine learning and natural language processing. The key techniques in use are data mining, big data analysis, data extraction and data retrieval.

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