What is the difference between Computer Science Engineering in Artificial Intelligence and Computer Science Engineering in Data Analytics?
Hello,
Artificial Intelligence ( AI ) is a general term that implies the use of a computer to model and/or replicate intelligent behavior. Research in AI focuses on the development and analysis of algorithms that learn and/or perform intelligent behavior with minimal human intervention
It enables students to provide solutions to scientific, technological and complex real world problems.
Aims to impart the fundamental concepts of artificial intelligence, knowledge representation, intelligent agents, natural language processing, machine learning, cognitive modeling and applications of artificial intelligence in block chain and other areas. It also enables students to obtain programming skills, mathematical reasoning and communication skills.
Career Prospects:
Ample career opportunities exist in private companies, public organizations, health care industry, education and government institutions. The jobs in AI include Software analysts and developers, Computer scientists and computer engineers, AI Algorithm specialists, Research scientists, AI &ML Engineer, Machine Learning and Artificial Intelligence Scientist, AI Software Engineer and so on.
Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
It provides engineering and problem-solving skills using computational methods.The students will have an opportunity to learn principles, tools and techniques to model various real world problems, analyze them, and discover useful information. Further, they are encouraged to suggest solutions that support decision-making using suitable data visualization techniques. The prime focus is to equip students with programming skills, statistical skills, mathematical reasoning, machine learning, knowledge discovery, communication and visualization skills.
Career Prospects:
Data Analyst experts are among the most sought-after professionals in IT sector, with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin. The career scope includes jobs such as Data Scientist, Data Engineer, Data Architect, Data Analyst in both public and private sectors, financial services, retail/wholesale/e-commerce, IoT and healthcare industries.
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Hello
deepikaballa01
, In the process of Artificial Intelligence (AI), Future events are forecasted using the predictive model. But Data Science involves the process of prediction, visualization, analysis, and pre-processing of data.
Artificial Intelligence applications are used in many sectors like the Healthcare industry, transport industry, robotics industries, automation industries, and manufacturing industries. On the other hand, Data Science applications are used in the field of Internet Search Engines like Google, Yahoo, Bing, Marketing Field, Banking , Advertising Field and many more.
Hope it will be helpful for you :)