Artificial Intelligence and Data Science Engineering

Department of Artificial Intelligence and Data Science Engineering

About the Artificial Intelligence and Data Science Engineering Department

At Mahalakshmi Tech Campus for the Department of Artificial Intelligence and Data Science Engineering, it means continuous researching, thinking, and implementing idea driven data science solutions and smart methodologies. Combining theory with application, we address the goals of the AI and data science and ensure students are ready for the future.

Teaching and learning activities cover theoretical concepts as well as Develop skills through practical application which incorporates State of Art laboratories and Real life projects. Students are challenged to pursue progressive and creative thinking in their work along with addressing modern day issues in various areas including, but not limited to, machine learning, big data and data prediction.

Setting the research and industry focus means graduates of the department are well placed to lead and drive change in the dynamic field of AI and data science.

In a nutshell, the Department of Artificial Intelligence and Data Science Engineering at Mahalakshmi Tech Campus is all set up to produce the future talent that shall lead to the development in the field of technology and data science.

Vision

To stay on the cutting edge of engineering and technology, especially in artificial intelligence, as well as produce innovative human capital in data sciences for the development of the world.

Mission

So that students could receive unique education in both theoretical and practical aspects of AI and data science. Our mission focuses on doing coursework, experimenting and teamwork skills to prepare students for professional positions in technology.

Scope of Artificial Intelligence and Data Engineering

The scope of Artificial Intelligence and Data Science Engineering covers several critical areas essential to modern technological advancements:

Machine Learning

Crawling data, designing procedures of drawing patterns and forecasts from various data types.

Deep Learning

Developing and introducing advance models, the neural networks multiple layers for demanding uses, including image and speech recognition.

NLP stands for Natural Language Processing

Developing technologies able to recognize natural language for such uses as language translation and natural language interfaces.

Data Analytics

Applying diverse techniques for data analysis to derive meaningful information and solution from the given big data for the advantageous varied fields.