B Tech in Artificial Intelligence and Data Science: Breakdown of the Syllabus

Without wasting any time, we will jump right into the topic. Here we are sharing a list of subjects as well as lab classes that you will get to study during your B Tech in artificial intelligence and data science. It is a year-wise breakdown of your curriculum.

Without wasting any time, we will jump right into the topic. Here we are sharing a list of subjects as well as lab classes that you will get to study during your B Tech in artificial intelligence and data science. It is a year-wise breakdown of your curriculum.

First year

You will study applied mathematics in the very first semester of your AI and DS engineering. In addition to that, you will also study applied chemistry and fundamentals of electrical & electronics engineering. Computational thinking and C programming along with C++ will also be a part of your syllabus. You will be provided soft skill development classes to hone your communication skills along the way.

Second year

The next year is full of fundamentals of data structures and computer networks along with discrete mathematics and advanced data structures. Artificial intelligence and data science engineering course is strategically designed to equip you with practical knowledge of the domain. You will learn it all at the data structures and digital electronics labs, as well as Python programming and operating system labs.

Third year

You will learn to design and analyse algorithms while leveraging your artificial intelligence expertise. Your adept faculty will introduce you to the concepts of data science and big data as well as the management information system. Make sure you never miss out on your labs of artificial intelligence and data science or even design and analysis of algorithms labs. Here you will learn about data science techniques & tools in great detail.

Fourth year

After attending a seminar in your previous year of B Tech in artificial intelligence and data science, you will explore new territories. It includes but is not limited to deep learning and data warehousing other than generative AI & prompt engineering. Their respective labs will impart the additional knowledge among interested aspirants. But to your surprise, your final year of AI and DS engineering is also a mixed bag of elective courses and research methodology as you also master the art of digital marketing.

Conclusion

Your final year is incomplete without a project work and an industrial internship. So make sure you put all your hard work into these inclusive areas. We cannot agree more that artificial intelligence and data science engineering is a challenging UG programme. But you can make it a smooth journey if you start early. Now that you know what all you will be dealing with for the next four years, get started with it at the earliest.


KK Wagh

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