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B. Tech Data Science with Generative AI Engineering: A Winning Combination
Data science and AI are closely linked and often used together to solve complex problems. Data science involves finding useful information in large, often messy data using different scientific techniques and algorithms. It combines math, statistics, artificial intelligence, computer science, and other fields. Data science helps make predictions and decisions based on data using methods like data mining, machine learning, and data visualization. The goal of data science is to turn raw data into useful insights that can eventually guide decision-making and predictions.
On the other hand, Artificial intelligence (AI) is a part of computer science that focuses on creating smart machines that can perform tasks typically requiring human intelligence, such as understanding, reasoning, learning, and decision-making. AI is commonly used for activities like recognizing speech, categorizing images, and identifying fraud through methods like machine learning, natural language processing, computer vision, robotics, and knowledge representation.
There is significant overlap between the two fields, with many data science projects using AI methods to gain insights from data and many AI projects relying on data science methods to analyse and interpret data.
The Projected Career Growth Of Data Science And AI Professionals
The amount of data available worldwide has experienced a significant increase. The International Data Corporation (IDC) has forecasted that global data will reach 175 zettabytes by 2030. As businesses increasingly depend on data for decision-making and gaining a competitive edge, there has been an increasing demand for data scientists and AI professionals.
This trend will continue, creating more job opportunities for people who are skilled in these areas. Data scientist jobs have been very popular in the 21st century, and there will continue to be a big need for people who are good at Data Science. A report by the U.S. Bureau of Labor Statistics says that Data Science will create about 11.5 million job openings worldwide by 2028. Forbes says that 79% of global business leaders believe that companies can’t succeed without using data science and analytics. The World Economic Forum thinks that by 2028, Data Scientists and Analysts will be the most important new jobs in the world because businesses in almost every industry will need data science skills.
High Demand Across Multiple Industries
The rise of data science and AI has created new job roles like data analysts, data scientists, data architects, data engineers, machine learning engineers, and AI researchers. In addition to this, data scientists and AI professionals are in extremely high demand in various industries such as healthcare, manufacturing, finance, sports, fashion, and retail. Their salaries are higher than those in other fields because of this demand. Their expertise in accessing data and analysing it from anywhere in the world allows them to work remotely for companies in different parts of the world. This has created new opportunities for people seeking flexible work arrangements.
The versatility of data science and AI is an added reason for the youth to pursue AI and data science engineering and related courses in these fields, as they are being used to solve a wide range of business problems across industries.
NIIT University’s AI and Data Science Engineering: A Winning Combination
Our B. Tech Programme in Artificial Intelligence and Data Science is a winning combination of more than eight years of experience in the field, combined with insights from trends across academic institutions and industries.
Our B. Tech Artificial Intelligence and Data Science program is designed to provide students with the necessary knowledge, skills, and tools to manage complex data from various domains effectively. The program is a 4-year undergraduate course that equips students to collect, organize, and interpret data to enhance decision-making in the corporate sector.
Recognizing the significant need for AI and Data Science engineering professionals in today’s industry, we have designed our Data Science and AI program to prepare you to meet industry demands at an early stage of your career. The program provides an intensive learning experience. Students in the B. Tech Artificial Intelligence and Data Science program complete two capstone projects one research and development project and participate in a 6-month industry practice.
We at NU offer an advance next gen B. Tech Artificial Intelligence and Data Science programme that puts you into a high-growth journey.
That’s A Wrap
Hence, we can say that the combination of AI and Data Science in a degree can increase your chances of a prosperous career with numerous opportunities waiting for you. Data Science and AI are rapidly transforming the job market by creating new roles, shifting the skill set requirements for existing ones, and opening up new possibilities for remote work. It is becoming increasingly evident that securing a good job in this field is a wise choice.
The versatility of these fields is one of the biggest advantages for young people to pursue in higher education. One such option is AI and data science engineering. The skills and expertise gained through these fields, especially through our AI and Data Science engineering program, can be applied to multiple industries, making it a highly valuable area to pursue.
As the world will never stop from producing vast amounts of data and information, the demand for data scientists and AI professionals is only going to increase, making it a highly lucrative and rewarding field to pursue.
