Artificial Intelligence & Data Science
OVERVIEW
- What are Artificial Intelligence and Data Science specializations in Engineering?
Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. Artificial Intelligence and data science focuses on collecting, categorizing, strategizing, analyzing, and interpreting data. It is a specialized branch that deals with the development of data-driven solutions, data visualization tools, and techniques to analyze big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems. - Who should study Artificial Intelligence and Data science study?
AI and Data science is the current trend ruling the business world and it is a highly-paid career now. Artificial Intelligence and data science is a suitable course for those who would like to develop various intelligent business solutions. Big data solutions have changed the way how business models are built and run. This study contributes much to the manufacturing, e-commerce, banking, finance, transport, and healthcare industries. - What will I study in this course?
In this course, you will learn how to design, create and implement AI and DS-based software solutions to solve actual business problems. This course helps to explore concepts such as AI, Data Analytics, Data visualization, Machine Learning, Deep Learning, semantic web and social network analytics, Blockchain Technologies, and Data Security and Privacy. - What are the career opportunities after the completion of this course?/What will I do once I graduate?
AI and DS graduates will be able to design and develop intelligent business applications to solve various industrial problems. They use the latest tools and open-source technologies to recommend the required solutions. They can figure out how to evaluate the ethical, legitimate, proficient, and social standards of engineering knowledge and practices. These graduates can also exhibit their domain knowledge in data handling, knowledge extraction, mobile, and distributed application development, intelligence web/eCommerce development, database administration, computer hardware, networking, education and training, and decision support systems using AI and Data Science tools and techniques.