Scope of B. Tech. Artificial Intelligence and Data Science

Artificial Intelligence is a technology that allows machines to mimic human behavior. Data science helps us analyze complex data. Artificial intelligence and data science are critical components of numerous real-world applications. In India, there are countless opportunities for higher education. You can get a gratifying job after pursuing B. Tech. Artificial Intelligence and Data Science. In addition to teaching fundamental technologies like artificial intelligence, data mining, and data modeling, this course also focuses on machine learning and big data analytics. By the end of the period, the students will have developed cross-disciplinary skills in statistics, computer science, and machine learning. They will be qualified to work as data scientists and enjoy healthcare, business, e-Commerce, social networking, climatology, biotechnology, and genetics opportunities. The main goal of this curriculum is to provide students with the ability to think mathematically and statistically and learn about visualization. In this blog, we will share insight on the scope of B.Tech. Artificial Intelligence and Data Science.

BTech artificial intelligence and data science

Why pursue B. Tech. in Artificial Intelligence and Data Science?

Artificial intelligence and data science are interdisciplinary science, engineering, and technology subjects. It generates a paradigm shift in practically every technological company, academic field, and study area. Artificial intelligence and data science, which are quickly altering the world, are future technologies—the purpose of B. Tech. Artificial Intelligence and Data Science programs are to prepare students for the challenges of developing machine-generated intelligence and analytics that will soon permeate almost every aspect of our lives and significantly impact consumer goods through significant advancements in the manufacturing, healthcare, financial, and retail sectors.

Scope of B. Tech. Artificial Intelligence and Data Science is vast. Every business organization needs data science to identify trends and changes through advanced big data analytics. Data science uses various techniques and tools to interpret and forecast business outcomes from multiple data sources through statistical analysis, data aggregation, and data mining. The massive volume of daily data and the available processing power cause this. Because of this, a B. Tech. Artificial Intelligence and Data Science is a rewarding career choice for people who wish to start working right after graduation.

Data Scientist

A data scientist can draw essential insights from the provided data. Conducting predictive analysis and using machine learning and associated techniques to extract data are often part of a data scientist's job description. Any organization that receives data often finds that it has to be cleaned up since it is jumbled. This is where data scientists come into play. A data scientist is expected to clean up the data and present it in a way that will benefit the business.

Machine Learning Engineer

To teach robots how to execute specific jobs, a machine learning engineer must integrate the fields of data science and artificial intelligence. Strong computer programming abilities are a must for becoming a machine learning engineer. Engineers specializing in machine learning write computer programs that let computers carry out tasks without being formally programmed or instructed.

Business Intelligence Developer

In every organization, having a business intelligence developer on staff is a distinctive and significant position. Business intelligence development is required to gather and analyze complex data to understand and forecast market and business trends. A business intelligence developer must create, modify, and store complex data on a user-friendly platform connected to the cloud.

Big Data Engineer/Architect

One of the most profitable careers in data science and artificial intelligence is as a prominent data engineer and architect. The goal of any principal data engineer or architect is to design a system that will enable accessible data collection and efficient communication across various business units. Computer programming and languages like C++, Java, Python, and Scala are anticipated to become experts when prominent data engineers and architects enter the workforce.

Database Developer

A database developer must enhance existing database operations and update company standards and structures by efficiently coding programs. Every database developer is also responsible for managing current databases, finding and repairing system flaws, improving the current database, and resolving any problems or worries that may occur in database systems in the future.

Admissions Open at CGC Jhanjeri

Admissions open at CGC Jhanjeri for B. Tech. Artificial Intelligence and Data Science. CGC Jhanjeri is one of the top colleges to pursue artificial intelligence in Chandigarh. You have read about the scope of B. Tech. Artificial Intelligence and Data Science in the blog. If you want to build your career in artificial intelligence, contact our admissions team. We are always ready to help you.


What is BTech in artificial intelligence and data science?

A: The B. Tech. Artificial Intelligence & Data Science program is an undergraduate degree that combines big data, data sciences, deep learning, reinforcement learning, machine learning, and artificial intelligence as a whole.

Is BTech in AI and data science good?

A: The field of machine learning offers numerous high-paying work possibilities and is a fantastic career option. It is a field that is poised to significantly alter the automation industry. A BTech in data science and artificial intelligence will help you launch a successful career in this industry.

Which is better CSE or AI and data science?

A: Software engineering, computer graphics, human-computer interaction, and artificial intelligence are just a few of the optional courses that CSE provides. Despite having electives, AI and data science programs may be more concentrated on particular topics within these fields.