Last Updated on December 15, 2022 by
Bachelor of Technology (B. Tech) Computer Science and Engineering is a four-year undergraduate programme focusing on engineering and technology. This technical course covers various aspects of developing a computer system, such as computation, data structures, algorithms, programming languages, program design, Java, databases, operating systems, computer hardware, and software.
B. Tech Computer Science and Engineering course specialises in many cutting-edge technologies, such as Design Thinking, Digital Marketing, Ethical Hacking, Big Data, Blockchain Technology, Cybersecurity, and Cloud Computing. However, Machine Learning and Artificial Intelligence are the most sought-after B. Tech CSE specialisations due to promising career prospects.
Pursuing a B. Tech in Artificial Intelligence course opens doors to a broad range of opportunities worldwide. As machine learning continues to grow, the computer science and artificial intelligence industry is exploding with job well-paying opportunities. So, let’s dive deep into the career prospects after earning a B. Tech in Artificial Intelligence course.
Career prospects after B. Tech in Artificial Intelligence
Artificial Intelligence and Machine Learning are evergreen industries with plenty of job opportunities. According to the US Bureau of Labor Statistics, job vacancies for computer and information science graduates will climb to 37,000 by 2028. So, the following are the career paths that you can pursue after completing the four-year B. Tech in CSE course specialized in Artificial Intelligence and Machine Learning:
Big Data Engineer
As a big data engineer, you will develop, maintain, test, and analyse an organisation’s data. Big data entails large, complex volumes of structured, semi-structured, and unstructured data. Companies usually collect big data to make informed business decisions. So, big data engineers help companies manage their large volume of data.
Machine Learning Engineer
Machine learning engineers usually have advanced mathematics, statistics, and data analytics knowledge to research, build and design artificial intelligence for machine learning. They work closely with the data science team. They are highly skilled programmers who create software to automate predictive models.
Robotics Scientist
From designing prototypes to building machines, robotics scientists perform multiple tasks. They build mechanical devices and research to hunt for the most cost-effective process to manufacture these machines. According to Ambitionbox, the national average salary of robotics scientists in India is INR 7,50,000 yearly.
Business Intelligence Developer
Business intelligence developers generate, organise, and maintain interfaces for business, such as data visualisations and querying tools. They are highly skilled in Python, scripting languages, and data visualisation. They help make informed decisions and optimize business processes.
AI Data Analyst
These modern-day tech professionals use machine learning models to procure, clean, and data modelling. They create data reports to assist stakeholders in making better decisions. According to Glassdoor, entry-level AI data analysts in India make INR 6,04,880 per year.
Python Developer
You will be coding, designing, deploying, and debugging projects as a python developer. The role of a python developer involves back-end tasks. Python developers have strong skills in HTML, CSS, and programming languages.
Students must have earned a B. Tech CSE degree to kickstart a career in artificial intelligence and machine learning. To apply for the course, browse top engineering schools in India now!
Apart from this if you ara interested to know more about Emerging Tech Trends to Drive then visit our BUSINESS category
