Choosing the Right Path: BTech in AI/ML vs. Information Science at BMS College of Engineering

The field of technology is ever-evolving, making it crucial for students to choose the right path that can set them up for success in their future careers. At BMS College of Engineering, students are often faced with the choice between pursuing a BTech in Artificial Intelligence (AI) and Machine Learning (ML) or Information Science. Given the recent introduction of AI and ML as new branches, it's essential to weigh the benefits of each. In this article, we delve into the merits of each path, with a particular focus on Information Science and why it can be a more solid foundation for aspiring data scientists.

Why Information Science is Your Better Bet

Choosing a path in Information Science is a wise decision, especially for students who want to lay a solid foundation for their careers in data science and related fields. The critical reason is the importance of having a strong background in fundamental computer science concepts. These fundamental skills are the backbone of data science and machine learning, making it easier to pick up specialized knowledge in AI and ML. Without a solid understanding of these core principles, it is challenging to progress in the field, especially since many specialized courses require a foundational understanding of computer programming, databases, and algorithms.

Indian Engineering Curriculum and Education

Indian engineering curriculums, which have remained largely unchanged for the past 40 years, unfortunately, have not kept pace with the rapid advancements in the digital age. As a result, Indian engineering colleges do not produce skilled and employable data science, AI, and ML professionals. This lack of skilled talent has led to the absence of core private data science and AI/ML companies in India. Notably, internationally recognized companies in data science and AI rarely conduct campus placements in Indian engineering colleges to fill these positions.

For Indian youths aspiring to become data scientists or AI professionals, the path often involves more than just pursuing a traditional engineering degree. It requires a significant amount of self-practice and skills development beyond what is typically covered in the standard curriculum. An Indian youth can become an employable data scientist or AI professional by dedicating five years to continuous practice of computer programming, with an explicit goal of developing skills that will make them attractive candidates to companies working in the data science and AI arenas.

The Infinite Demand for Data Science and AI Professionals

The demand for professionals with expertise in data science and artificial intelligence is immense, and there is no sign of this demand slowing down. Whether you choose to focus on information science, AI, or machine learning, the skills and knowledge gained can open up a myriad of career opportunities. From tech giants to startups, organizations in every sector are actively seeking professionals who can help them leverage data to drive innovation, improve decision-making, and stay competitive.

Conclusion

Choosing between a BTech in AI and ML or Information Science is a pivotal decision for students at BMS College of Engineering. While both fields hold great promise, Information Science provides a more comprehensive and foundational education, ensuring that graduates are well-equipped with the skills needed to excel in today's data-driven world. By laying this strong foundation, students can better position themselves for success in the rapidly evolving field of data science and artificial intelligence.